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市場調查報告書
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2029285

全球量子技術市場（2026-2046 年）

The Global Quantum Technology Market 2026-2046
出版日期: | 出版商: Future Markets, Inc. | 英文 682 Pages, 249 Tables, 78 Figures | 訂單完成後即時交付

價格

全球量子科技市場以前所未有的商業性動能進入2026年。 2025年全年與量子技術相關的資金籌措總額接近100億美元，不僅標誌著市場的繁榮，更預示著結構性加速發展，其中包括私募股權融資、公開市場股票上市資金籌措、戰略收購以及政府支持的合資企業。光是2025年第一季，股權資金籌措就超過12.5億美元，較去年同期成長125%，且這股動能在隨後的幾季持續加速。 2025年，共有15家公司融資超過1億美元，後期融資的平均規模也從2023年的約5,000萬美元成長至2025年的超過1億美元。這反映出投資方向正從種子階段的研發投資轉向用於全面商業開發的資本。

這些引人注目的交易重新定義了整個產業對企業估值的預期。 PsiQuantum 完成了由貝萊德、淡馬錫和 Baillie Gifford主導的10 億美元 E 輪融資，投後公司估值達到 70 億美元。這是量子創投史上規模最大的一輪資金籌措。 Quantinuum 融資 6 億美元，投前估值達到 100 億美元，NVIDIA、富達和廣達電腦參與了此次融資。這是迄今為止非上市公司量子電腦獲得的最大一筆融資。 IQM Quantum Computers 在 B 輪融資中籌集超過 3 億美元後，成為獨角獸公司。 IonQ 在 18 個月內完成了總額約 25 億美元的收購，收購了 Oxford Ionics（10.75 億美元）、ID Quantique 和 Vector Atomic，成為全球最全面的量子技術平台。 D-Wave 以 5.5 億美元收購 Quantum Circuits Inc. 也同樣反映了整個產業整合到全面量子技術棧的趨勢。

資金籌措動能延續至2026年。 IQM量子電腦公司宣布與一家特殊目的收購公司（SPAC）合併，估值達18億美元，成為首家在美國證券交易所上市的歐洲量子計算公司。 Xanadu量子科技公司上市完成後，淨現金餘額約4.55億美元，正朝著納斯達克上市的目標邁進。 Quantinuum公司則計劃進行傳統的承銷IPO。量子運算產業已徹底從私募市場轉向公開市場。價格壓力仍然強勁，私人公司公司還是上市公司，其估值水準都維持在兩年前被認為是異常高的水平。

2026年的策略前景清晰可見：資本大規模集中，全端整合成為主導產業策略，光電成為規模化架構的選擇（2025年排名前五的資金籌措輪中，有三輪將涉及光電公司），軟體和控制層在平台層面持續吸引投資，量子技術與人工智慧的融合構成真正的投資主題。量子技術如今與人工智慧、生物技術和先進半導體並駕齊驅，成為未來十年最具決定性的技術投資類別之一。

本報告考察了全球量子技術市場，涵蓋了所有商業性活躍的量子技術堆疊層，並提供了詳細的市場規模、供應商分析和前瞻性策略資訊。

目錄

第1章：執行摘要

  • 2026年量子技術市場
  • 第一次和第二次量子革命
  • 量子技術當前市場狀況
  • 技術準備評估
  • 量子技術投資前景展望
  • 全球政府主導的計劃和資金籌措
  • 採用量子技術面臨的挑戰
  • 關鍵供應鏈瓶頸
  • 量子技術市場地圖
  • SWOT分析
  • 量子技術價值鏈
  • 全球市場預測（2026-2046）

第2章：量子技術導論

  • 第一次和第二次量子革命
  • 動態原理
  • 量子技術生態系統
  • 實行技術和基礎設施
  • 標準制定

第3章：量子計算

  • 什麼是量子計算？
  • 基準測試和性能指標
  • 市場挑戰
  • SWOT分析
  • 經營模式
  • 量子糾錯與容錯
  • 資料中心中的量子計算
  • 量子計算價值鏈
  • 量子計算市場及應用
  • 機會分析
  • 技術藍圖
  • 受動態啟發的經典計算

第4章：量子化學與人工智慧

  • 技術說明
  • 目的
  • SWOT分析
  • 市場挑戰
  • 參與企業
  • 機會分析
  • 技術藍圖

第5章：量子機器學習

  • 什麼是量子機器學習？
  • 機器學習中經典計算與量子計算的範式
  • 機器學習中所使用的量子力學原理
  • 機器學習基礎
  • 十字路口－為什麼要將量子運算和機器學習結合？
  • QML 的階段與演變
  • QML 中使用的演算法和軟體
  • 量子神經網路
  • 變分量子分類器
  • 量子核方法
  • QML的優勢
  • 挑戰與局限性
  • QML 的用途
  • QML藍圖
  • 參與企業
  • 市場預測（2026-2036）

第6章：量子模擬

  • 什麼是量子模擬？
  • 類比量子類比與數位量子類比的比較
  • 量子模擬平台
  • 量子模擬的應用
  • 量子化學模擬
  • 參與企業
  • SWOT分析
  • 市場預測（2026-2036）

第7章 量子通訊

  • 技術說明
  • 種類
  • 目的
  • 量子隨機數產生器（QRNG）
  • 量子金鑰傳輸（QKD）
  • 後量子密碼學（PQC）
  • 量子同態加密
  • 量子隱形傳態
  • 量子網路
  • 量子記憶體
  • 量子網路
  • 全球量子通訊市場：按技術類型分類（2026-2036 年）
  • 市場挑戰
  • 參與企業
  • 機會分析
  • 技術藍圖

第8章 量子感測器

  • 技術說明
  • 市場和技術挑戰
  • 市場預測
  • 技術藍圖

第9章 量子電池

  • 技術說明
  • 種類
  • 目的
  • SWOT分析
  • 市場挑戰
  • 參與企業
  • 機會分析
  • 技術藍圖

第10章 最終用途市場與應用

  • 概述
  • 製藥和藥物研發
  • 金融服務
  • 航太/國防
  • 能源與公共產業
  • 醫療保健
  • 溝通
  • 政府/公共部門

第11章 量子技術材料

  • 超導性
  • 光電、矽光電、光學元件
  • 奈米材料
  • 用於量子技術的人造鑽石
  • 低溫基礎設施
  • 氦-3供應鏈
  • 低溫控制電子和低溫CMOS
  • 雷射和光子元件：透過方法
  • 超高真空（UGV）系統
  • 微波和光連接模組
  • 評估供應鏈瓶頸
  • 材料市場預測
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 歐盟計劃
    • 英國
    • 德國
    • 法國
    • 荷蘭
  • 亞太地區
    • 中國
    • 日本
    • 韓國
    • 澳洲
    • 新加坡
  • 其他地區
  • 政府措施比較

第12章：全球市場分析

  • 市場地圖
  • 參與企業
  • 全球市場收入（2018-2046）
  • 量子勞動與人才市場

第13章：公司簡介（345家公司簡介）

第14章調查方法

第15章：術語和定義

第16章 參考文獻

The global quantum technology market entered 2026 from a position of unprecedented commercial momentum. Full-year 2025 closed with nearly $10 billion in total quantum financings - a structural acceleration rather than a hype cycle, encompassing private equity rounds, public market offerings, strategic acquisitions, and government-backed joint ventures. Q1 2025 alone delivered over $1.25 billion in equity funding, a 125% increase year-on-year, and momentum compounded through every subsequent quarter. Fifteen companies raised more than $100 million each in 2025, with average late-stage round sizes expanding from approximately $50 million in 2023 to comfortably above $100 million in 2025 - reflecting the transition from seed-stage research bets to serious commercial deployment capital.

The headline transactions reset valuation expectations across the industry. PsiQuantum closed a $1 billion Series E led by BlackRock, Temasek, and Baillie Gifford at a $7 billion post-money valuation - the largest quantum venture round in history. Quantinuum raised $600 million at a $10 billion pre-money valuation, the highest-ever for a privately held quantum company, with NVIDIA, Fidelity, and Quanta Computer participating. IQM Quantum Computers raised over $300 million in Series B funding, achieving unicorn status. IonQ executed approximately $2.5 billion in acquisitions across 18 months, absorbing Oxford Ionics ($1.075 billion), ID Quantique, and Vector Atomic to become the world's most comprehensive quantum technology platform. D-Wave's $550 million acquisition of Quantum Circuits Inc. similarly reflected industry-wide consolidation toward integrated quantum stacks.

Funding momentum has carried directly into 2026. IQM Quantum Computers announced a SPAC merger at a $1.8 billion valuation, becoming the first European quantum computing company listed on a US exchange. Xanadu Quantum Technologies advanced toward its NASDAQ listing with approximately $455 million in net cash on close. Quantinuum is pursuing a traditional underwritten IPO. The quantum sector has crossed decisively from private to public capital markets - and pricing pressure has not abated, with private and public valuations sustaining levels that would have been considered extraordinary even two years earlier.

The strategic picture for 2026 is unambiguous: capital concentration at scale, full-stack consolidation as the dominant industry strategy, photonics emerging as the scale-up architecture of choice (three of the five largest 2025 raises were photonic companies), software and control layers attracting durable platform-level investment, and quantum-AI convergence forming a genuine investment theme. Quantum technology now sits alongside AI, biotech, and advanced semiconductors as one of the defining technology investment categories of the decade.

The Global Quantum Technology Market 2026–2046: Computing, Sensors, Communications & Software is the most comprehensive market intelligence resource available on the second quantum revolution. Spanning a 20-year forecast horizon and 14 chapters, the report covers every commercially active layer of the quantum technology stack - from foundational materials and cryogenic infrastructure through QPU hardware, software platforms, sensors, communications systems, and end-use applications - with detailed market sizing, vendor analysis, and forward-looking strategic intelligence.

Report contents include:

  • Executive summary including 2025 investment landscape ($10 billion in financings), Q1–Q4 quarterly funding analysis, government initiatives across 10 leading nations, supply chain concentration and geopolitical exposure, top ten supply chain bottlenecks, SWOT analysis, market map, value chain, and 2026–2046 forecasts.
  • Introduction to first and second quantum revolutions, quantum mechanics principles (superposition, entanglement, coherence, tunnelling), enabling technologies, and standards development.
  • Quantum computing across all eight major qubit modalities - superconducting, trapped ion, silicon spin, topological, photonic, neutral atom, diamond-defect, and quantum annealers - with technology descriptions, market players, SWOT analyses, hardware roadmaps, and detailed coverage of error correction, fault tolerance, infrastructure requirements, software, business models, and quantum-classical data centre integration.
  • Quantum chemistry and AI, quantum machine learning (including QML phases, algorithms, and applications), and quantum simulation (analog vs digital approaches, simulation platforms, and chemistry applications).
  • Quantum communications including QRNG, QKD (BB84, CV-QKD, DV-QKD, MDI-QKD, TF-QKD protocols), post-quantum cryptography (NIST standardisation, migration implications, market players), quantum networks, quantum memory, and quantum internet.
  • Quantum sensors across atomic clocks, magnetic field sensors (SQUIDs, OPMs, TMRs, NV centres), gravimeters, gyroscopes, image sensors, radar, navigation, chemical sensors, RF field sensors (Rydberg and NV-centre based), and quantum NEMs/MEMs.
  • Quantum batteries, including technology types, applications, and market forecasts.
  • End-use markets spanning pharmaceuticals, financial services, aerospace and defence, energy and utilities, healthcare and medical, telecommunications, and government applications.
  • Materials for quantum technologies including superconductors, photonics, nanomaterials, artificial diamond, cryogenic infrastructure, helium-3 supply chain, cryo-CMOS, lasers, UHV systems, and microwave/optical interconnects.
  • Regional analysis for North America, Europe, Asia-Pacific, and Rest of World, plus government initiatives comparison.
  • Global market analysis including consolidated forecasts to 2046 by segment, end-use industry, and region; supply chain market sizing; and combined quantum technology economy view.
  • Profiles of 327 companies spanning every layer of the quantum technology ecosystem. Companies profiled include A* Quantum, AbaQus, Absolut System, Adaptive Finance Technologies, Aegiq, Agnostiq, Algorithmiq, Airbus, Alea Quantum, Alpine Quantum Technologies (AQT), Alice & Bob, Aliro Quantum, Anametric, Anyon Systems, Aqarios, Aquark Technologies, Archer Materials, Arclight Quantum, Arctic Instruments, Arqit Quantum, ARQUE Systems, Artificial Brain, Artilux, Atlantic Quantum, Atom Computing, Atom Quantum Labs, Atomionics, Atos Quantum, Baidu, BEIT, Beyond Blood Diagnostics, Bifrost Electronics, Bleximo, Bluefors, BlueQubit, Bohr Quantum Technology, Bosch Quantum Sensing, BosonQ Ps, C12 Quantum Electronics, Cambridge Quantum Computing (CQC), CAS Cold Atom, Cerca Magnetics, CEW Systems Canada, Chipiron, Chiral Nano, Classiq Technologies, ColibriTD, Commutator Studios, Covesion, Crypta Labs, CryptoNext Security, Crystal Quantum Computing, D-Wave Systems, DeteQt, Digistain, Diatope, Dirac, Diraq, Delft Circuits, Delta g, Duality Quantum Photonics, EeroQ, eleQtron, Element Six, Elyah, Entropica Labs, Ephos, Equal1, EuQlid, evolutionQ, Exail Quantum Sensors, EYL, First Quantum, Fujitsu, Genesis Quantum Technology, GenMat, Good Chemistry, Google Quantum AI, Groove Quantum, g2-Zero, Haiqu, Hefei Wanzheng Quantum Technology, High Q Technologies, Horizon Quantum Computing and more....

TABLE OF CONTENTS

1 EXECUTIVE SUMMARY

  • 1.1 Quantum Technologies Market in 2026
    • 1.1.1 Q1 2025: The Surge That Set the Tone
    • 1.1.2 Q2 2025: Momentum Builds Across the Stack
    • 1.1.3 Q3 2025: Mega-Rounds and a New Valuation Era
    • 1.1.4 Q4 2025: Going Public and Consolidation Accelerates
    • 1.1.5 Into 2026: The Public Market Era Begins
    • 1.1.6 The Strategic Picture: What $10 Billion Means
    • 1.1.7 2025 as Quantum Technology's Commercial Watershed
  • 1.2 First and second quantum revolutions
  • 1.3 Current quantum technology market landscape
    • 1.3.1 Key developments
  • 1.4 Technology Readiness Assessment
  • 1.5 Quantum Technologies Investment Landscape
    • 1.5.1 Total market investments 2012-2026
    • 1.5.2 By Technology
    • 1.5.3 By Company
    • 1.5.4 By Application
    • 1.5.5 By Region
      • 1.5.5.1 The Quantum Market in North America
      • 1.5.5.2 The Quantum Market in Asia
      • 1.5.5.3 The Quantum Market in Europe
    • 1.5.6 Key Investment Trends 2025–2026
  • 1.6 Global government initiatives and funding
    • 1.6.1 United States
    • 1.6.2 China
    • 1.6.3 European Union
    • 1.6.4 Germany
    • 1.6.5 United Kingdom
    • 1.6.6 France
    • 1.6.7 Canada
    • 1.6.8 Australia
    • 1.6.9 Japan
    • 1.6.10 India
    • 1.6.11 Cross-Cutting Themes in Government Quantum Investment
    • 1.6.12 Supply Chain Concentration and Geopolitical Exposure
  • 1.7 Challenges for quantum technologies adoption
  • 1.8 Critical Supply Chain Bottlenecks
  • 1.9 Quantum Technology Market Map
  • 1.10 SWOT Analysis
  • 1.11 Quantum Technology Value Chain
  • 1.12 Global Market Forecast 2026–2046
    • 1.12.1 Total Market Revenues
    • 1.12.2 By Technology Segment
    • 1.12.3 By End-Use Industry
    • 1.12.4 By Region

2 INTRODUCTION TO QUANTUM TECHNOLOGY

  • 2.1 First and Second Quantum Revolutions
  • 2.2 Quantum Mechanics Principles
    • 2.2.1 Superposition
    • 2.2.2 Entanglement
    • 2.2.3 Quantum Coherence
    • 2.2.4 Quantum Tunnelling
  • 2.3 The Quantum Technology Ecosystem
  • 2.4 Enabling Technologies and Infrastructure
  • 2.5 Standards Development

3 QUANTUM COMPUTING

  • 3.1 What is quantum computing?
    • 3.1.1 Operating principle
    • 3.1.2 Classical vs quantum computing
    • 3.1.3 Quantum computing technology
      • 3.1.3.1 Quantum emulators
      • 3.1.3.2 Quantum inspired computing
      • 3.1.3.3 Quantum annealing computers
      • 3.1.3.4 Quantum simulators
      • 3.1.3.5 Digital quantum computers
      • 3.1.3.6 Continuous variables quantum computers
      • 3.1.3.7 Measurement Based Quantum Computing (MBQC)
      • 3.1.3.8 Topological quantum computing
      • 3.1.3.9 Quantum Accelerator
  • 3.2 Benchmarking and Performance Metrics
    • 3.2.1 Qubit Count
    • 3.2.2 Gate Fidelity
    • 3.2.3 Coherence Times
    • 3.2.4 Quantum Volume
    • 3.2.5 Competition from other technologies
    • 3.2.6 Quantum algorithms
      • 3.2.6.1 Quantum Software Stack
      • 3.2.6.2 Quantum Machine Learning
      • 3.2.6.3 Quantum Simulation
      • 3.2.6.4 Quantum Optimization
      • 3.2.6.5 Quantum Cryptography
        • 3.2.6.5.1 Quantum Key Distribution (QKD)
        • 3.2.6.5.2 Post-Quantum Cryptography
    • 3.2.7 Architectural Approaches
      • 3.2.7.1 Modular vs. Single Core
      • 3.2.7.2 Heterogeneous Multi-Qubit Architectures
    • 3.2.8 Hardware
      • 3.2.8.1 Qubit Technologies
        • 3.2.8.1.1 Superconducting Qubits
          • 3.2.8.1.1.1 Technology description
          • 3.2.8.1.1.2 Materials
          • 3.2.8.1.1.3 Hardware Architecture
          • 3.2.8.2.1.4 Market players
          • 3.2.8.2.1.5 Swot analysis
          • 3.2.8.2.1.6 Superconducting Hardware Roadmap
        • 3.2.8.1.2 Trapped Ion Qubits
          • 3.2.8.2.2.1 Technology description
          • 3.2.8.2.2.2 Ion Species Comparison
          • 3.2.8.2.2.3 Trap Architectures
          • 3.2.8.2.2.4 Materials
            • 3.2.8.2.2.4.1 Integrating optical components
            • 3.2.8.2.2.4.2 Incorporating high-quality mirrors and optical cavities
            • 3.2.8.2.2.4.3 Engineering the vacuum packaging and encapsulation
            • 3.2.8.2.2.4.4 Removal of waste heat
          • 3.2.8.2.2.5 Market players
          • 3.2.8.2.2.6 Swot analysis
          • 3.2.8.2.2.7 Trapped Ion Hardware Roadmap
        • 3.2.8.2.3 Silicon Spin Qubits
          • 3.2.8.2.3.1 Technology description
          • 3.2.8.2.3.2 Quantum dots
          • 3.2.8.2.3.3 Market players
          • 3.2.8.2.3.4 SWOT analysis
          • 3.2.8.2.3.5 Silicon Spin Hardware Roadmap
        • 3.2.8.2.4 Topological Qubits
          • 3.2.8.2.4.1 Technology description
            • 3.2.8.2.4.1.1 Cryogenic cooling
          • 3.2.8.2.4.2 Market players
          • 3.2.8.2.4.3 SWOT analysis
        • 3.2.8.2.5 Photonic Qubits
          • 3.2.8.2.5.1 Technology description
            • 3.2.8.2.5.1.1 Architectural Classes
            • 3.2.8.2.5.1.2 Initialization, Manipulation, and Readout
            • 3.2.8.2.5.1.3 Hardware Architecture
          • 3.2.8.2.5.2 Race to Photonic Fault Tolerance: Tier Analysis
          • 3.2.8.2.5.3 Market players
          • 3.2.8.2.5.4 Swot analysis
          • 3.2.8.2.5.5 Photonic Hardware Roadmap
          • 3.2.8.2.5.6 Race to Photonic Fault Tolerance: Tier Analysis
        • 3.2.8.2.6 Neutral atom (cold atom) qubits
          • 3.2.8.2.6.1 Technology description
          • 3.2.8.2.6.2 Market players
          • 3.2.8.2.6.3 Swot analysis
          • 3.2.8.2.6.4 Neutral Atom Hardware Roadmap
        • 3.2.8.2.7 Diamond-defect qubits
          • 3.2.8.2.7.1 Technology description
          • 3.2.8.2.7.2 SWOT analysis
          • 3.2.8.2.7.3 Market players
          • 3.2.8.2.7.4 Diamond-Defect Hardware Roadmap
        • 3.2.8.2.8 Quantum annealers
          • 3.2.8.2.8.1 Technology description
          • 3.2.8.2.8.2 SWOT analysis
          • 3.2.8.2.8.3 Market players
          • 3.2.8.2.8.4 Quantum Annealing Hardware Roadmap
      • 3.2.8.3 Architectural Approaches
      • 3.2.8.4 Quantum Computing Infrastructure Requirements
    • 3.2.9 Software
      • 3.2.9.1 Technology description
      • 3.2.9.2 Cloud-based services- QCaaS (Quantum Computing as a Service).
        • 3.2.9.2.1 The Cloud-First Reality of Quantum Computing
        • 3.2.9.2.2 Platform Architecture Models
        • 3.2.9.2.3 Major Quantum Cloud Platforms
        • 3.2.9.2.4 Pricing Models
        • 3.2.9.2.5 Quantum Cloud Platform Comparison
        • 3.2.9.2.6 Cloud Platform Market Forecast
      • 3.2.9.3 Market players
  • 3.3 Market challenges
  • 3.4 SWOT analysis
  • 3.5 Business Models
  • 3.6 Quantum Error Correction and Fault Tolerance
    • 3.6.1 Why Error Correction Matters
    • 3.6.2 Quantum Error Correction Code Families
    • 3.6.3 Fault Tolerance Requirements and Logical Qubit Demonstrations
    • 3.6.4 Magic State Distillation and Logical Gate Sets
    • 3.6.5 Hardware-Aware Error Correction
    • 3.6.6 QEC-Specific Vendors and Software Stack
    • 3.6.7 Resource Estimation for Fault-Tolerant Algorithms
    • 3.6.8 Market Forecast — QEC-Related Spending
  • 3.7 Quantum Computing in Data Centres
    • 3.7.1 Overview
    • 3.7.2 Photonic Deployment Models in Data Centres
  • 3.8 Quantum computing value chain
  • 3.9 Markets and applications for quantum computing
    • 3.9.1 Pharmaceuticals
      • 3.9.1.1 Market overview
        • 3.9.1.1.1 Drug discovery
        • 3.9.1.1.2 Diagnostics
        • 3.9.1.1.3 Molecular simulations
        • 3.9.1.1.4 Genomics
        • 3.9.1.1.5 Proteins and RNA folding
      • 3.9.1.2 Market players
    • 3.9.2 Chemicals
      • 3.9.2.1 Market overview
      • 3.9.2.2 Market players
    • 3.9.3 Transportation
      • 3.9.3.1 Market overview
      • 3.9.3.2 Market players
    • 3.9.4 Financial services
      • 3.9.4.1 Market overview
      • 3.9.4.2 Market players
  • 3.10 Opportunity analysis
  • 3.11 Technology roadmap
  • 3.12 Quantum-Inspired Classical Computing
    • 3.12.1 What is Quantum-Inspired Computing?
    • 3.12.2 Quantum-Inspired Algorithms
    • 3.12.3 Quantum-Inspired Hardware Architectures
    • 3.12.4 Commercial Applications
    • 3.12.5 Major Quantum-Inspired Vendors
    • 3.12.6 Quantum vs Quantum-Inspired: Strategic Positioning
    • 3.12.7 Market Forecast — Quantum-Inspired Computing

4 QUANTUM CHEMISTRY AND ARTIFICAL INTELLIGENCE (AI)

  • 4.1 Technology description
  • 4.2 Applications
  • 4.3 SWOT analysis
  • 4.4 Market challenges
  • 4.5 Market players
  • 4.6 Opportunity analysis
  • 4.7 Technology roadmap

5 QUANTUM MACHINE LEARNING

  • 5.1 What is Quantum Machine Learning?
  • 5.2 Classical vs. Quantum Computing Paradigms for ML
  • 5.3 Quantum Mechanical Principles for ML
  • 5.4 Machine Learning Fundamentals
  • 5.5 The Intersection — Why Combine Quantum and ML?
  • 5.6 QML Phases and Evolution
    • 5.6.1 The First Phase of QML
    • 5.6.2 The Second Phase of QML
  • 5.7 Algorithms and Software for QML
  • 5.8 Quantum Neural Networks
  • 5.9 Variational Quantum Classifiers
  • 5.10 Quantum Kernel Methods
  • 5.11 Advantages of QML
    • 5.11.1 Improved Optimisation and Generalisation
    • 5.11.2 Quantum Advantage in ML
    • 5.11.3 Training Advantages and Opportunities
    • 5.11.4 Improved Accuracy
  • 5.12 Challenges and Limitations
    • 5.12.1 Hardware Constraints
    • 5.12.2 Costs
    • 5.12.3 Nascent Technology
  • 5.13 QML Applications
  • 5.14 QML Roadmap
  • 5.15 Market Players
  • 5.16 Market Forecasts 2026–2036

6 QUANTUM SIMULATION

  • 6.1 What is Quantum Simulation?
  • 6.2 Analog vs. Digital Quantum Simulation
  • 6.3 Quantum Simulation Platforms
    • 6.3.1 Neutral Atom Simulators
    • 6.3.2 Trapped Ion Simulators
    • 6.3.3 Superconducting Circuit Simulators
    • 6.3.4 Photonic Simulators
  • 6.4 Applications of Quantum Simulation
    • 6.4.1 Molecular and Chemical Simulation
    • 6.4.2 Materials Discovery
    • 6.4.3 High-Energy Physics
    • 6.4.4 Condensed Matter Physics
    • 6.4.5 Drug Discovery and Protein Folding
  • 6.5 Quantum Chemistry Simulation
  • 6.6 Market Players
  • 6.7 SWOT Analysis
  • 6.8 Market Forecasts 2026–2036

7 QUANTUM COMMUNICATIONS

  • 7.1 Technology description
  • 7.2 Types
  • 7.3 Applications
  • 7.4 Quantum Random Numbers Generators (QRNG)
    • 7.4.1 Overview
    • 7.4.2 QRNG Product Design and Technology Evolution
    • 7.4.3 Entropy Sources
    • 7.4.4 High Throughput as Key Differentiator
    • 7.4.5 Standards Development
    • 7.4.6 Applications
      • 7.4.6.1 Encryption for Data Centers
      • 7.4.6.2 Consumer Electronics
      • 7.4.6.3 Automotive/Connected Vehicle
      • 7.4.6.4 Gambling and Gaming
      • 7.4.6.5 Monte Carlo Simulations
      • 7.4.6.6 Government and Defense Applications
      • 7.4.6.7 Enterprise Networks and Data Centers
      • 7.4.6.8 Automotive Applications
      • 7.4.6.9 Online Gaming
    • 7.4.7 Advantages
    • 7.4.8 Principle of Operation of Optical QRNG Technology
    • 7.4.9 Non-optical approaches to QRNG technology
    • 7.4.10 SWOT Analysis
    • 7.4.11 Market Forecasts
  • 7.5 Quantum Key Distribution (QKD)
    • 7.5.1 Overview
    • 7.5.2 Asymmetric and Symmetric Keys
    • 7.5.3 Principle behind QKD
    • 7.5.4 Why is QKD More Secure Than Other Key Exchange Mechanisms?
    • 7.5.5 Discrete Variable vs. Continuous Variable QKD Protocols
    • 7.5.6 MDI-QKD (Measurement Device Independent QKD)
    • 7.5.7 Fiber-Based QKD
    • 7.5.8 Free-Space and Satellite QKD
    • 7.5.9 Key Players
    • 7.5.10 Challenges
    • 7.5.11 SWOT Analysis
    • 7.5.12 Market Forecasts
  • 7.6 Post-quantum cryptography (PQC)
    • 7.6.1 Overview
    • 7.6.2 Security systems integration
    • 7.6.3 PQC standardization
      • 7.6.3.1 NIST Standardisation Process and Outcomes
      • 7.6.3.2 Migration Implications
    • 7.6.4 Transitioning cryptographic systems to PQC
    • 7.6.5 Market players
    • 7.6.6 SWOT Analysis
    • 7.6.7 Market Forecasts
      • 7.6.7.1 Beyond Algorithms: The Migration Reality
      • 7.6.7.2 The Migration Stack
      • 7.6.7.3 Industry-Specific Migration Programs
      • 7.6.7.4 Migration Services and Consulting Market
      • 7.6.7.5 Market Forecast — Quantum-Safe Migration
      • 7.6.7.6 Y2Q Timeline and Strategic Implications
  • 7.7 Quantum homomorphic cryptography
  • 7.8 Quantum Teleportation
  • 7.9 Quantum Networks
    • 7.9.1 Overview
    • 7.9.2 Advantages
    • 7.9.3 Role of Trusted Nodes and Trusted Relays
    • 7.9.4 Entanglement Swapping and Optical Switches
    • 7.9.5 Multiplexing quantum signals with classical channels in the O-band
      • 7.9.5.1 Wavelength-division multiplexing (WDM) and time-division multiplexing (TDM)
    • 7.9.6 Twin-Field Quantum Key Distribution (TF-QKD)
    • 7.9.7 Enabling global-scale quantum communication
    • 7.9.8 Advanced optical fibers and interconnects
    • 7.9.9 Photodetectors in quantum networks
      • 7.9.9.1 Avalanche photodetectors (APDs)
      • 7.9.9.2 Single-photon avalanche diodes (SPADs)
      • 7.9.9.3 Silicon Photomultipliers (SiPMs)
    • 7.9.10 Cryostats
      • 7.9.10.1 Cryostat architectures
    • 7.9.11 Infrastructure requirements
    • 7.9.12 Global activity
      • 7.9.12.1 China
      • 7.9.12.2 Europe
      • 7.9.12.3 The Netherlands
      • 7.9.12.4 The United Kingdom
      • 7.9.12.5 US
      • 7.9.12.6 Japan
    • 7.9.13 SWOT analysis
  • 7.10 Quantum Memory
  • 7.11 Quantum Internet
  • 7.12 Global Market for Quantum Communications by Technology Type 2026–2036
  • 7.13 Market challenges
  • 7.14 Market players
  • 7.15 Opportunity analysis
  • 7.16 Technology roadmap

8 QUANTUM SENSORS

  • 8.1 Technology description
    • 8.1.1 Quantum Sensing Principles
    • 8.1.2 SWOT analysis
    • 8.1.3 Atomic Clocks
      • 8.1.3.1 High frequency oscillators
        • 8.1.3.1.1 Emerging oscillators
      • 8.1.3.2 Caesium atoms
      • 8.1.3.3 Self-calibration
      • 8.1.3.4 Optical atomic clocks
        • 8.1.3.4.1 Chip-scale optical clocks
      • 8.1.3.5 Bench/Rack-Scale Atomic Clocks
      • 8.1.3.6 Chip-Scale Atomic Clocks (CSAC)
      • 8.1.3.7 Atomic Clocks Market Forecasts — Total
      • 8.1.3.8 Companies
      • 8.1.3.9 SWOT analysis
    • 8.1.4 Quantum Magnetic Field Sensors
      • 8.1.4.1 Introduction
      • 8.1.4.2 Motivation for use
      • 8.1.4.3 Market opportunity
      • 8.1.4.4 Superconducting Quantum Interference Devices (Squids)
        • 8.1.4.4.1 Applications
        • 8.1.4.4.2 Key players
        • 8.1.4.4.3 SWOT analysis
      • 8.1.4.5 Optically Pumped Magnetometers (OPMs)
        • 8.1.4.5.1 Applications
        • 8.1.4.5.2 Key players
        • 8.1.4.5.3 SWOT analysis
      • 8.1.4.6 Tunneling Magneto Resistance Sensors (TMRs)
        • 8.1.4.6.1 Applications
        • 8.1.4.6.2 Key players
        • 8.1.4.6.3 SWOT analysis
      • 8.1.4.7 Nitrogen Vacancy Centers (N-V Centers)
        • 8.1.4.7.1 Applications
        • 8.1.4.7.2 Key players
        • 8.1.4.7.3 SWOT analysis
    • 8.1.5 Quantum Gravimeters
      • 8.1.5.1 Technology description
      • 8.1.5.2 Applications
      • 8.1.5.3 Key players
      • 8.1.5.4 SWOT analysis
    • 8.1.6 Quantum Gyroscopes
      • 8.1.6.1 Technology description
        • 8.1.6.1.1 Inertial Measurement Units (IMUs)
        • 8.1.6.1.2 Atomic quantum gyroscopes
      • 8.1.6.2 Applications
      • 8.1.6.3 Key players
      • 8.1.6.4 SWOT analysis
    • 8.1.7 Quantum Image Sensors
      • 8.1.7.1 Technology description
      • 8.1.7.2 Applications
      • 8.1.7.3 SWOT analysis
      • 8.1.7.4 Key players
    • 8.1.8 Quantum Radar
      • 8.1.8.1 Technology description
      • 8.1.8.2 Applications
    • 8.1.9 Quantum Navigation
    • 8.1.10 Quantum Sensor Components
    • 8.1.11 Quantum Chemical Sensors
      • 8.1.11.1 Technology overview
      • 8.1.11.2 Commercial activities
    • 8.1.12 Quantum Radio Frequency Field Sensors
      • 8.1.12.1 Overview
      • 8.1.12.2 Rydberg Atom Based Electric Field Sensors and Radio Receivers
        • 8.1.12.2.1 Principles
        • 8.1.12.2.2 Commercialization
      • 8.1.12.3 Nitrogen-Vacancy Centre Diamond Electric Field Sensors and Radio Receivers
        • 8.1.12.3.1 Principles
        • 8.1.12.3.2 Applications
      • 8.1.12.4 Market
    • 8.1.13 Quantum NEM and MEMs
      • 8.1.13.1 Technology description
  • 8.2 Market and technology challenges
  • 8.3 Market forecasts
    • 8.3.1 By Sensor Type
    • 8.3.2 By Volume
    • 8.3.3 By Sensor Price
    • 8.3.4 By End-Use Industry
  • 8.4 Technology roadmap

9 QUANTUM BATTERIES

  • 9.1 Technology description
  • 9.2 Types
  • 9.3 Applications
  • 9.4 SWOT analysis
  • 9.5 Market challenges
  • 9.6 Market players
  • 9.7 Opportunity analysis
  • 9.8 Technology roadmap

10 END-USE MARKETS AND APPLICATIONS

  • 10.1 Overview
  • 10.2 Pharmaceuticals and Drug Discovery
    • 10.2.1 Market Overview
    • 10.2.2 Drug Discovery Applications
  • 10.3 Financial Services
    • 10.3.1 Market Overview
    • 10.3.2 Portfolio Optimisation
    • 10.3.3 Risk Assessment
    • 10.3.4 Algorithmic Trading
    • 10.3.5 Fraud Detection
  • 10.4 Aerospace and Defence
    • 10.4.1 Market Overview
    • 10.4.2 Navigation and Positioning
    • 10.4.3 Secure Communications
    • 10.4.4 Simulation and Optimisation
  • 10.5 Energy and Utilities
    • 10.5.1 Market Overview
    • 10.5.2 Grid Optimisation
    • 10.5.3 Renewable Energy Integration
    • 10.5.4 Carbon Capture Optimisation
  • 10.6 Healthcare and Medical
    • 10.6.1 Market Overview
    • 10.6.2 Medical Imaging
    • 10.6.3 Diagnostics
    • 10.6.4 Personalized Medicine
  • 10.7 Telecommunications
    • 10.7.1 Market Overview
    • 10.7.2 Network Optimisation
    • 10.7.3 Quantum-Secure Networks
  • 10.8 Government and Public Sector
    • 10.8.1 Market Overview

11 MATERIALS FOR QUANTUM TECHNOLOGIES

  • 11.1 Superconductors
    • 11.1.1 Overview
    • 11.1.2 Types and Properties
    • 11.1.3 Critical Temperature and Material Selection
      • 11.1.3.1 Critical Material Supply Chain Considerations
    • 11.1.4 Superconducting Quantum Circuits
      • 11.1.4.1 Introduction
      • 11.1.4.2 Fabricating Superconducting Qubits
    • 11.1.5 Defects and Sources of Noise
    • 11.1.6 Superconducting Nanowire Single-Photon Detectors (SNSPDs) — Materials and Fabrication
    • 11.1.7 Opportunities
  • 11.2 Photonics, Silicon Photonics and Optical Components
    • 11.2.1 Overview
    • 11.2.2 Types and Properties
    • 11.2.3 Photonic Integrated Circuits for Quantum Technology
      • 11.2.3.1 Overview
    • 11.2.4 PICs for Quantum Sensing
    • 11.2.5 Opportunities
  • 11.3 Nanomaterials
    • 11.3.1 Overview
    • 11.3.2 Types and Properties
    • 11.3.3 Opportunities
  • 11.4 Artificial Diamond for Quantum Technology
    • 11.4.1 Overview
    • 11.4.2 Supply Chain and Materials for Diamond-Based Quantum Computers
    • 11.4.3 Quantum Grade Diamond
    • 11.4.4 Silicon-Vacancy in Diamond Quantum Memory
  • 11.5 Cryogenic Infrastructure
    • 11.5.1 The Role of Cryogenics in Quantum Computing
    • 11.5.2 Operating Temperature Requirements by Modality
    • 11.5.3 Dilution Refrigerators
      • 11.5.3.1 Cryogen-Free vs. Wet Systems
          • 11.5.3.1.1.1 Modular and Cube-Format Architectures
    • 11.5.4 Pulse Tube and Cryocoolers
    • 11.5.5 Alternative Cooling Technologies
    • 11.5.6 Dilution Refrigerator Vendor Landscape
    • 11.5.7 Partnership Models
    • 11.5.8 Cryogenic System Lead Times and Capacity Constraints
    • 11.5.9 Ten-Year Forecast — Installed Base of Dilution Refrigerators
  • 11.6 Helium-3 Supply Chain
    • 11.6.1 Why Helium-3 Matters for Quantum Computing
    • 11.6.2 ³He Production from Tritium Decay
    • 11.6.3 ³He Supply Sources and Annual Production Estimates
    • 11.6.4 Demand-Supply Gap Modelling, 2026–2046
    • 11.6.5 Lunar Regolith Harvesting (Interlune)
    • 11.6.6 Helium-4 Industrial Supply Risk
    • 11.6.7 Strategic Stockpiling and Mitigation
  • 11.7 Cryogenic Control Electronics and Cryo-CMOS
    • 11.7.1 The Wiring Crisis — Why Room-Temperature Control Cannot Scale
    • 11.7.2 Architectural Approaches
    • 11.7.3 NVQLink and the Quantum-Classical Data Centre Convergence
    • 11.7.4 Cryo-CMOS Devices and Process Technology
    • 11.7.5 Vendor Landscape
    • 11.7.6 Cryogenic Amplifiers — TWPAs, HEMT and Parametric
    • 11.7.7 Heat Load Budgets and Power Dissipation Constraints
    • 11.7.8 Ten-Year Forecast — Cryo-CMOS Market and Penetration
  • 11.8 Lasers and Photonic Components by Modality
    • 11.8.1 The Laser Bill of Materials in a Quantum System
    • 11.8.2 Wavelengths Required by Atomic and Solid-State Modalities
    • 11.8.3 Laser Technology Platforms
    • 11.8.4 Linewidth, Stability and Phase Noise Requirements
    • 11.8.5 Photonic Component Suppliers
    • 11.8.6 Laser Vendor Capability Matrix
    • 11.8.7 Single-Photon Detection
    • 11.8.8 Photonic Integrated Circuits and Foundry Access
  • 11.9 Ultra-High Vacuum (UGV) Systems
    • 11.9.1 Vacuum Pressure Requirements by Modality
    • 11.9.2 UHV Chamber Design and Materials
    • 11.9.3 Vacuum Pumps and Hardware
    • 11.9.4 Vacuum Feedthroughs and Hermetic Seals
    • 11.9.5 Vapour Cell Technology and Atomic Sources
    • 11.9.6 UHV Vendor Capability Matrix
  • 11.10 Microwave and Optical Interconnects
    • 11.10.1 Cryogenic Microwave Cabling
    • 11.10.2 High-Density Cryogenic Connectors
    • 11.10.3 Cryogenic Attenuators and Filters
    • 11.10.4 Circulators, Isolators and Switches
    • 11.10.5 Optical Interconnects for Photonic and Modular Quantum Systems
    • 11.10.6 Microwave-to-Optical Transducers
    • 11.10.7 Vendor Landscape
  • 11.11 Supply Chain Bottleneck Assessment
    • 11.11.1 Methodology — Severity, Probability and Time-to-Resolution Framework
    • 11.11.2 Critical Bottlenecks
    • 11.11.3 High-Severity Bottlenecks
    • 11.11.4 Bottleneck Heat-Map by Modality
    • 11.11.5 Mitigation Strategies
  • 11.12 Materials Market Forecasts
    • 11.12.1 Forecasting Methodology and Scenario Definitions
    • 11.12.2 Superconducting Chips and Substrates
    • 11.12.3 Photonic Integrated Circuits and Optical Components
    • 11.12.4 Cryogenic Infrastructure
    • 11.12.5 Helium-3 and Helium-4 Supply
    • 11.12.6 Cryogenic Control Electronics and Cryo-CMOS
    • 11.12.7 Lasers and Single-Photon Detectors
    • 11.12.8 Ultra-High Vacuum Systems
    • 11.12.9 Microwave and Optical Interconnects
    • 11.12.10 Diamond and Quantum Materials
    • 11.12.11 Nanomaterials for Quantum Applications
  • 11.13 North America
    • 11.13.1 United States
    • 11.13.2 Canada
  • 11.14 Europe
    • 11.14.1 European Union Initiatives
    • 11.14.2 United Kingdom
    • 11.14.3 Germany
    • 11.14.4 France
    • 11.14.5 Netherlands
  • 11.15 Asia-Pacific
    • 11.15.1 China
    • 11.15.2 Japan
    • 11.15.3 South Korea
    • 11.15.4 Australia
    • 11.15.5 Singapore
  • 11.16 Rest of World
  • 11.17 Government Initiatives Comparison

12 GLOBAL MARKET ANALYSIS

  • 12.1 Market map
  • 12.2 Key industry players
    • 12.2.1 Start-ups
    • 12.2.2 Tech Giants
    • 12.2.3 National Initiatives
  • 12.3 Global market revenues 2018-2046
    • 12.3.1 Quantum Computing
    • 12.3.2 Quantum Sensors
    • 12.3.3 QKD Systems
    • 12.3.4 Quantum Random Number Generators (QRNG)
    • 12.3.5 Post-Quantum Cryptography (PQC)
    • 12.3.6 Quantum Machine Learning
    • 12.3.7 Quantum Simulation
    • 12.3.8 Quantum Batteries
    • 12.3.9 Total Quantum TechnologyMarket — Consolidated Forecast
    • 12.3.10 Quantum Hardware Supply Chain Market
      • 12.3.10.1 Geographic Distribution of Supply Chain Revenue
    • 12.3.11 Total Quantum Technology Market Including Supply Chain
  • 12.4 Quantum Workforce and Talent Market
    • 12.4.1 Why Workforce Matters
    • 12.4.2 The Quantum Talent Pyramid
    • 12.4.3 University Programs and Degrees
    • 12.4.4 Industry Training Programs
    • 12.4.5 Government Workforce Initiatives
    • 12.4.6 Compensation Benchmarks
    • 12.4.7 Workforce Market Forecast

13 COMPANY PROFILES 435 (345 company profiles)

14 RESEARCH METHODOLOGY

15 TERMS AND DEFINITIONS

16 REFERENCES

List of Tables

  • Table 1. 2025–2026 Quantum Technology Investment
  • Table 2. First and second quantum revolutions.
  • Table 3. Technology Readiness Level (TRL) assessment by quantum platform
  • Table 4. Quantum Technology Total Investments 2012–2026 (millions USD)
  • Table 5. Major Quantum Technologies Investments 2024–H1 2026
  • Table 6. Quantum Technology Investments 2012–2026 by Technology Subsector (millions USD)
  • Table 7. Quantum Technology Funding 2022–2026 by Company (USD)
  • Table 8. Quantum Technology Investment by Application 2012–2026 (millions USD)
  • Table 9. Quantum Technology Investments 2012–2026 by Region (millions USD)
  • Table 10. Key Quantum Investment Trends 2025–2026
  • Table 11. Global Government Quantum Commitments (2022–2026)
  • Table 12. Challenges for quantum technologies adoption.
  • Table 13. Top Ten Most Severe Supply Chain Bottlenecks, 2026
  • Table 14. Quantum Technologyvalue chain
  • Table 15. Total Quantum Technology Market Forecast 2026–2046 (billions USD)
  • Table 16. Quantum Technology Market by Segment — Revenue, Share, and Growth Rate, 2026–2046 (billions USD, %)
  • Table 17. Quantum Technology Market by End-Use Industry 2026–2046 (billions USD)
  • Table 18. Quantum Technology Market by Region 2026–2046 (billions USD)
  • Table 19. First and second quantum revolutions
  • Table 20. Comparison — Classical vs. Quantum Technologies
  • Table 21. Applications for quantum computing
  • Table 22. Comparison of classical versus quantum computing.
  • Table 23. Key quantum mechanical phenomena utilized in quantum computing.
  • Table 24. Types of quantum computers.
  • Table 25. Qubit performance benchmarking by platform
  • Table 26. Coherence times for different qubit implementations
  • Table 27. Quantum computer benchmarking metrics
  • Table 28. Logical qubit progress
  • Table 29. Comparative analysis of quantum computing with classical computing, quantum-inspired computing, and neuromorphic computing.
  • Table 30. Different computing paradigms beyond conventional CMOS.
  • Table 31. Applications of quantum algorithms.
  • Table 32. QML approaches.
  • Table 33. Modular vs. single core architectures
  • Table 34. Heterogeneous architectural approaches by provider
  • Table 35. Coherence times for different qubit implementations.
  • Table 36. Superconducting Qubit Vendor Material Choices, 2026
  • Table 37. Superconducting qubit market players.
  • Table 38. Initialization, manipulation and readout for trapped ion quantum computers.
  • Table 39. Trapped Ion Species Comparison, 2026
  • Table 40. Trapped Ion Vendor Architecture Comparison, 2026
  • Table 41. Ion trap market players.
  • Table 42. Initialization, manipulation, and readout methods for silicon-spin qubits.
  • Table 43. Silicon spin qubits market players.
  • Table 44. Initialization, manipulation and readout of topological qubits.
  • Table 45. Topological qubits market players.
  • Table 46. Pros and cons of photon qubits.
  • Table 47. Photonic Quantum Computing Architectural Classes, 2026
  • Table 48. Photonic Qubit Initialization, Manipulation and Readout
  • Table 49. Photonic Quantum Computing Race to Fault Tolerance — Tier Analysis
  • Table 50. Photonic qubit market players.
  • Table 51. Initialization, manipulation and readout for neutral-atom quantum computers.
  • Table 52. Pros and cons of cold atoms quantum computers and simulators
  • Table 53. Neural atom qubit market players.
  • Table 54. Initialization, manipulation and readout of Diamond-Defect Spin-Based Computing.
  • Table 55. Key materials for developing diamond-defect spin-based quantum computers.
  • Table 56. Diamond-defect qubits market players.
  • Table 57. Pros and cons of quantum annealers.
  • Table 58. Quantum annealers market players.
  • Table 59. Quantum computing infrastructure requirements
  • Table 60. Major Commercial Quantum Cloud Platforms, 2026
  • Table 61. Quantum Cloud Platform Market Forecast, 2026–2036 (millions USD)
  • Table 62. Quantum computing software market players.
  • Table 63. Market challenges in quantum computing.
  • Table 64. Business models in quantum computing
  • Table 65. Quantum Error Correcting Code Family Comparison
  • Table 66. Recent Logical Qubit Demonstrations
  • Table 67. Logical Qubit Roadmap by Vendor, 2026–2032
  • Table 68. Magic State Distillation Resource Estimates
  • Table 69. Resource Estimates for Reference Fault-Tolerant Algorithms (Current Best Estimates)
  • Table 70. QEC-Related Market Forecast, 2026–2036 (millions USD)
  • Table 71. Photonic Quantum Computing Deployment Models
  • Table 72. Quantum computing value chain.
  • Table 73. Markets and applications for quantum computing.
  • Table 74. Market players in quantum technologies for pharmaceuticals.
  • Table 75. Market players in quantum computing for chemicals.
  • Table 76. Automotive applications of quantum computing,
  • Table 77. Market players in quantum computing for transportation.
  • Table 78. Market players in quantum computing for financial services
  • Table 79. Market opportunities in quantum computing.
  • Table 80. Major Quantum-Inspired Computing Vendors, 2026
  • Table 81. Quantum vs Quantum-Inspired Comparison
  • Table 82. Quantum-Inspired Computing Market Forecast, 2026–2036 (millions USD)
  • Table 83. Applications in quantum chemistry and artificial intelligence (AI).
  • Table 84. Market challenges in quantum chemistry and Artificial Intelligence (AI).
  • Table 85. Market players in quantum chemistry and AI.
  • Table 86. Market opportunities in quantum chemistry and AI.
  • Table 87. Classical vs. quantum computing paradigms for machine learning
  • Table 88. QML phases and evolution
  • Table 89. QML approaches
  • Table 90. Advantages of quantum machine learning
  • Table 91. Challenges and limitations of QML
  • Table 92. QML applications by industry
  • Table 93. QML market players
  • Table 94. QML market forecasts 2026–2036 (millions USD)
  • Table 95. Comparison of analog and digital quantum simulation approaches
  • Table 96. Quantum simulation platforms comparison
  • Table 97. Applications of quantum simulation by industry
  • Table 98. Applications in quantum chemistry and artificial intelligence
  • Table 99. Market challenges in quantum chemistry simulation
  • Table 100. Quantum simulation market players
  • Table 101. Quantum simulation market forecasts 2026–2036 (millions USD)
  • Table 102. Main types of quantum communications.
  • Table 103. Applications in quantum communications.
  • Table 104. QRNG entropy sources comparison
  • Table 105. QRNG standards development
  • Table 106. QRNG applications.
  • Table 107. Key Players Developing QRNG Products.
  • Table 108. Optical QRNG by company.
  • Table 109. QRNG market forecasts 2026–2036 by application segment (millions USD)
  • Table 110. QKD protocols comparison
  • Table 111. Markets for QKD systems by end-use industry and delivery method 2026–2036 (millions USD)
  • Table 112. Market players in post-quantum cryptography.
  • Table 113. PQC market forecasts by cryptographic approach 2026–2036 (millions USD)
  • Table 114. Quantum-Safe Migration Market Forecast, 2026–2036 (millions USD)
  • Table 115. Reference Q-Day Estimates by Source, 2026
  • Table 116. Global market for quantum communications by technology type 2026–2036 (millions USD)
  • Table 117. Market challenges in quantum communications.
  • Table 118. Market players in quantum communications.
  • Table 119. Market opportunities in quantum communications.
  • Table 120. Comparison between classical and quantum sensors.
  • Table 121. Applications in quantum sensors.
  • Table 122. Technology approaches for enabling quantum sensing
  • Table 123. Value proposition for quantum sensors.
  • Table 124. Key challenges and limitations of quartz crystal clocks vs. atomic clocks.
  • Table 125. New modalities being researched to improve the fractional uncertainty of atomic clocks.
  • Table 126. Global market for bench/rack-scale atomic clocks 2026–2036 (millions USD)
  • Table 127. Global market for chip-scale atomic clocks 2026–2036 (millions USD)
  • Table 128. Global market for atomic clocks 2026–2036 (billions USD)
  • Table 129. Companies developing high-precision quantum time measurement
  • Table 130. Key players in atomic clocks.
  • Table 131. Comparative analysis of key performance parameters and metrics of magnetic field sensors.
  • Table 132. Types of magnetic field sensors.
  • Table 133. Market opportunity for different types of quantum magnetic field sensors.
  • Table 134. Applications of SQUIDs.
  • Table 135. Market opportunities for SQUIDs (Superconducting Quantum Interference Devices).
  • Table 136. Key players in SQUIDs.
  • Table 137. Applications of optically pumped magnetometers (OPMs).
  • Table 138. Key players in Optically Pumped Magnetometers (OPMs).
  • Table 139. Applications for TMR (Tunneling Magnetoresistance) sensors.
  • Table 140. Market players in TMR (Tunneling Magnetoresistance) sensors.
  • Table 141. Applications of N-V center magnetic field centers
  • Table 142. Key players in N-V center magnetic field sensors.
  • Table 143. Applications of quantum gravimeters
  • Table 144. Comparative table between quantum gravity sensing and some other technologies commonly used for underground mapping.
  • Table 145. Key players in quantum gravimeters.
  • Table 146. Comparison of quantum gyroscopes with MEMs gyroscopes and optical gyroscopes.
  • Table 147. Markets and applications for quantum gyroscopes.
  • Table 148. Key players in quantum gyroscopes.
  • Table 149. Types of quantum image sensors and their key features/.
  • Table 150. Applications of quantum image sensors.
  • Table 151. Key players in quantum image sensors.
  • Table 152. Comparison of quantum radar versus conventional radar and lidar technologies.
  • Table 153. Applications of quantum radar.
  • Table 154. Single-photon detector technology comparison
  • Table 155. SNSPD market players
  • Table 156. Quantum sensor component categories and functions
  • Table 157. Challenges for quantum sensor components
  • Table 158. Value Proposition of Quantum RF Sensors
  • Table 159. Types of Quantum RF Sensors
  • Table 160. Markets for Quantum RF Sensors
  • Table 161. Technology Transition Milestones.
  • Table 162. Market and technology challenges in quantum sensing.
  • Table 163. Global market for quantum sensors by sensor type 2018–2036 (Millions USD)
  • Table 164. Extended forecast to 2046 (Millions USD)
  • Table 165. Global market for quantum sensors by volume 2018–2046 (Units)
  • Table 166. Global market for quantum sensors by sensor price 2025–2046 (Units)
  • Table 167. Extended price segmentation to 2046 (Units — selected years)
  • Table 168. Global market for quantum sensors by end-use industry 2018–2036 (Millions USD)
  • Table 169. Extended forecast to 2046 (Millions USD)
  • Table 170. Comparison between quantum batteries and other conventional battery types.
  • Table 171. Types of quantum batteries.
  • Table 172. Applications of quantum batteries.
  • Table 173. Market challenges in quantum batteries.
  • Table 174. Market players in quantum batteries.
  • Table 175. Market opportunities in quantum batteries.
  • Table 176. Total addressable market (TAM) for quantum technologies by sector
  • Table 177. End-user industry investment in quantum readiness
  • Table 178. Market players in quantum technologies for pharmaceuticals
  • Table 179. Market players in quantum computing for financial services
  • Table 180. Materials in Quantum Technology.
  • Table 181. Superconductors in quantum technology.
  • Table 182. Critical temperature of superconducting materials for quantum technology
  • Table 183. Transmon superconducting qubit structure and materials
  • Table 184. Summary of manufacturing processes for superconducting quantum chips
  • Table 185. Defects and sources of noise for superconducting quantum circuits
  • Table 186. Fabrication methods for SNSPDs
  • Table 187. Photonics, silicon photonics and optics in quantum technology.
  • Table 188. Quantum PIC material platforms benchmarked
  • Table 189. PIC materials used by quantum technology companies
  • Table 190. Nanomaterials in quantum technology.
  • Table 191. Material advantages and disadvantages of diamond for quantum applications
  • Table 192. Synthetic diamond value chain for quantum technology
  • Table 193. Cryogenic Operating Temperature Requirements by Quantum Computing Modality
  • Table 194. Dilution Refrigerator Pricing Bands by Configuration, 2026
  • Table 195. Dilution Refrigerator Vendor Comparison, 2026
  • Table 196. Dilution Refrigerator Lead Times, 2022 vs. 2026
  • Table 197. Installed Base Forecast — Dilution Refrigerators by Region 2026–2036 (units, cumulative)
  • Table 198. Helium-3 Annual Production by Source, 2026
  • Table 199. Helium-3 Demand Forecast for Quantum Computing, 2026–2046
  • Table 200. Helium-3 Supply-Demand Balance Forecast, 2026–2046 (litres STP per year)
  • Table 201. Wiring Density Requirements vs. Cryogenic Cooling Budget
  • Table 202. NVQLink Ecosystem Participation, 2026
  • Table 203. Cryo-CMOS and Cryogenic Control Vendor Capabilities, 2026
  • Table 204. Cryogenic Amplifier Performance Benchmarks
  • Table 205. Cryo-CMOS Market Forecast, 2026–2036 (millions USD)
  • Table 206. Required Laser Wavelengths by Quantum Computing Modality
  • Table 207. Laser Linewidth Requirements by Application
  • Table 208. Laser Vendor Capability Matrix, 2026
  • Table 209. Single-Photon Detector Technology Comparison, 2026
  • Table 210. PIC Material Platform Comparison for Quantum Applications
  • Table 211. Vacuum Pressure Requirements by Modality
  • Table 212. Optical Viewport Specifications and Suppliers
  • Table 213. UHV Pump Type Selection Matrix
  • Table 214. Vapour Cell and Atomic Source Suppliers
  • Table 215. UHV Vendor Capability Matrix, 2026
  • Table 216. Cryogenic Cable Type Comparison
  • Table 217. High-Density Cryogenic Connector Comparison
  • Table 218. Cryogenic Attenuator Pricing and Specifications
  • Table 219. Cryogenic Interconnect Vendor Comparison, 2026
  • Table 220. Bottleneck Heat-Map by Quantum Computing Modality
  • Table 221. Bottleneck Mitigation Pathways
  • Table 222. Superconducting Chip and Substrate Market Forecast, 2026–2036 (millions USD)
  • Table 223. PIC and Optical Component Market Forecast, 2026–2036 (millions USD)
  • Table 224. Cryogenic Infrastructure Market Forecast, 2026–2036 (millions USD)
  • Table 225. Helium-3 and Helium-4 Market Forecast, 2026–2036 (millions USD, quantum applications only)
  • Table 226. Cryogenic Control Electronics Market Forecast, 2026–2036 (millions USD)
  • Table 227. Lasers and Single-Photon Detectors Market Forecast, 2026–2036 (millions USD)
  • Table 228. UHV Systems Market Forecast, 2026–2036 (millions USD)
  • Table 229. Cryogenic and Optical Interconnect Market Forecast, 2026–2036 (millions USD)
  • Table 230. Diamond and Specialty Materials Market Forecast, 2026–2036 (millions USD)
  • Table 231. Nanomaterials Market Forecast, 2026–2036 (millions USD)
  • Table 232. Total Materials and Components Market Forecast, 2026–2036 (millions USD)
  • Table 233. Global government quantum initiatives comparison
  • Table 234. Global Market for Quantum Computing — Hardware, Software & Services 2025–2046 (billions USD)
  • Table 235. Markets for Quantum Sensors by Type 2025–2046 (millions USD)
  • Table 236. Markets for QKD Systems 2025–2046 (millions USD)
  • Table 237. Global Market for Quantum Random Number Generators by Application 2025–2046 (millions USD)
  • Table 238. Global Market for Post-Quantum Cryptography by Approach 2025–2046 (millions USD)
  • Table 239. Global Market for Quantum Machine Learning by Segment 2025–2046 (millions USD)
  • Table 240. Global Market for Quantum Simulation by Application 2025–2046 (millions USD)
  • Table 241. Global Market for Quantum Batteries by Application 2025–2046 (millions USD)
  • Table 242. Total Quantum Technology Market by Segment 2026–2046 (billions USD)
  • Table 243. Quantum Technology Market by End-Use Industry 2026–2046 (billions USD)
  • Table 244. Quantum Technology Market by Region 2026–2046 (billions USD)
  • Table 245. Quantum Hardware Supply Chain Market by Category, 2026–2046 (millions USD)
  • Table 246. Quantum Hardware Supply Chain Revenue by Region, 2026–2046 (millions USD)
  • Table 247. Total Quantum Technology Market Including Supply Chain, 2026–2046 (billions USD)
  • Table 248. Quantum Technology Compensation Benchmarks, 2026 (USD, total compensation including equity)
  • Table 249. Quantum Workforce Market Forecast, 2026–2036 (millions USD)

List of Figures

  • Figure 1. Quantum computing development timeline.
  • Figure 2. Quantum Technology Market Map.
  • Figure 3. Quantum computing architectures.
  • Figure 4. An early design of an IBM 7-qubit chip based on superconducting technology.
  • Figure 5. Various 2D to 3D chips integration techniques into chiplets.
  • Figure 6. IBM Q System One quantum computer.
  • Figure 7. Unconventional computing approaches.
  • Figure 8. 53-qubit Sycamore processor.
  • Figure 9. Interior of IBM quantum computing system. The quantum chip is located in the small dark square at center bottom.
  • Figure 10. Superconducting quantum computer.
  • Figure 11. Superconducting quantum computer schematic.
  • Figure 12. Components and materials used in a superconducting qubit.
  • Figure 13. SWOT analysis for superconducting quantum computers:.
  • Figure 14. Ion-trap quantum computer.
  • Figure 15. Various ways to trap ions.
  • Figure 16. Universal Quantum’s shuttling ion architecture in their Penning traps.
  • Figure 17. SWOT analysis for trapped-ion quantum computing.
  • Figure 18. CMOS silicon spin qubit.
  • Figure 19. Silicon quantum dot qubits.
  • Figure 20. SWOT analysis for silicon spin quantum computers.
  • Figure 21. SWOT analysis for topological qubits
  • Figure 22 . SWOT analysis for photonic quantum computers.
  • Figure 23. Neutral atoms (green dots) arranged in various configurations
  • Figure 24. SWOT analysis for neutral-atom quantum computers.
  • Figure 25. NV center components.
  • Figure 26. SWOT analysis for diamond-defect quantum computers.
  • Figure 27. D-Wave quantum annealer.
  • Figure 28. SWOT analysis for quantum annealers.
  • Figure 29. Quantum software development platforms.
  • Figure 30. SWOT analysis for quantum computing.
  • Figure 31. Technology roadmap for quantum computing 2025-2046.
  • Figure 32. SWOT analysis for quantum chemistry and AI.
  • Figure 33. Technology roadmap for quantum chemistry and AI 2025-2046.
  • Figure 34. IDQ quantum number generators.
  • Figure 35. SWOT Analysis of Quantum Random Number Generator Technology.
  • Figure 36. SWOT Analysis of Quantum Key Distribution Technology.
  • Figure 37. SWOT Analysis: Post Quantum Cryptography (PQC).
  • Figure 38. SWOT analysis for networks.
  • Figure 39. Technology roadmap for quantum communications 2025-2046.
  • Figure 40. Q.ANT quantum particle sensor.
  • Figure 41. SWOT analysis for quantum sensors market.
  • Figure 42. NIST's compact optical clock.
  • Figure 43. SWOT analysis for atomic clocks.
  • Figure 44.Principle of SQUID magnetometer.
  • Figure 45. SWOT analysis for SQUIDS.
  • Figure 46. SWOT analysis for OPMs
  • Figure 47. Tunneling magnetoresistance mechanism and TMR ratio formats.
  • Figure 48. SWOT analysis for TMR (Tunneling Magnetoresistance) sensors.
  • Figure 49. SWOT analysis for N-V Center Magnetic Field Sensors.
  • Figure 50. Quantum Gravimeter.
  • Figure 51. SWOT analysis for Quantum Gravimeters.
  • Figure 52. SWOT analysis for Quantum Gyroscopes.
  • Figure 53. SWOT analysis for Quantum image sensing.
  • Figure 54. Principle of quantum radar.
  • Figure 55. Illustration of a quantum radar prototype.
  • Figure 56. Quantum RF Sensors Market Roadmap (2023-2046).
  • Figure 57. Technology roadmap for quantum sensors 2025-2046.
  • Figure 58. Schematic of the flow of energy (blue) from a source to a battery made up of multiple cells. (left)
  • Figure 59. SWOT analysis for quantum batteries.
  • Figure 60. Technology roadmap for quantum batteries 2025-2046.
  • Figure 61. Market map for quantum technologies industry.
  • Figure 62. Tech Giants quantum technologies activities.
  • Figure 63. Archer-EPFL spin-resonance circuit.
  • Figure 64. IBM Q System One quantum computer.
  • Figure 65. ColdQuanta Quantum Core (left), Physics Station (middle) and the atoms control chip (right).
  • Figure 66. Intel Tunnel Falls 12-qubit chip.
  • Figure 67. IonQ's ion trap
  • Figure 68. 20-qubit quantum computer.
  • Figure 69. Maybell Big Fridge.
  • Figure 70. PsiQuantum’s modularized quantum computing system networks.
  • Figure 71. Quantum Brilliance device
  • Figure 72. The Ez-Q Engine 2.0 superconducting quantum measurement and control system.
  • Figure 73. Conceptual illustration (left) and physical mockup (right, at OIST) of Qubitcore’s distributed ion-trap quantum computer, visualizing quantum entanglement via optical fiber links between traps.
  • Figure 74. Quobly's processor.
  • Figure 75. SemiQ first chip prototype.
  • Figure 76. SpinMagIC quantum sensor.
  • Figure 77. Toshiba QKD Development Timeline.
  • Figure 78. Toshiba Quantum Key Distribution technology.