全球量子光學計算市場（2026-2036 年）

全球量子光運算市場的特點在於其從根本上突破了限制其他量子技術的工程限制，並崛起成為未來十年最重要的技術領域之一。量子光電腦利用光子（單一光粒子）對量子資訊進行編碼和處理，其運行溫度比超導性平台高幾個數量級，能夠透過標準光纖進行原生通訊，其核心組件採用與傳統通訊和資料中心行業相同的CMOS矽光電晶圓代工廠製程製造。由於這些結構性優勢，到2025年，量子光計算僅需21億美元的私人資本投入，超導性，成為量子硬體投資的一個子類別，並佔全球量子技術私人投資總額的21%。

此市場硬體技術成熟度已達到技術成熟度（TRL）4-5級，短期內即可商用部署的機架式系統已在國家級運算設施運作。 ORCA Computing的PT-2系統在合約簽署後36小時內便安裝於英國國家量子運算中心，充分展現了光子量子電腦部署的便利性，使其區別於其他需要低溫環境的競爭平台。 Quandela的Belenos光子量子電腦在發布之初是性能最強大的光子系統，目前已透過雲端供30個國家的1200多名研究人員使用，並部署於CEA計算中心的EuroHPC基礎設施中。 Xanadu的Borealis系統展示了超越傳統模擬能力的216模式高斯玻色子採樣操作，並計劃於2026年在納斯達克上市，屆時將成為全球唯一一家專注於純光子量子計算的上市公司。

目前商業量子運算領域主要由三種架構構成。以 Xanadu主導的連續變數系統，將量子資訊編碼到壓縮光場的正交振幅中，並透過 PennyLane 軟體框架實現量子機器學習和模擬應用。 PsiQuantum、Quandela、ORCA Computing、QuiX Quantum 和 Quantum Source 等公司研發的離散變數系統，利用線性光路和測量歸納運算來操控單一光子，目的是實現容錯通用量子運算。以Microsoft支援的Photonic Inc. 為代表的自旋-光子混合架構，採用分散式容錯架構，利用光子互連連接矽自旋量子位元，目的是實現室溫量子網路。這三種方法都得到了全球組件供應鏈的支持，其中包括單光子源（Sparrow Quantum、Quandela）、超導性奈米線單光子檢測器（Single Quantum、Nu Quantum、ID Quantique）、光子整合電路晶圓代工廠（GlobalFoundries 通過 PsiQuantum、Ligentec、LioniX International）以及高精度雷射器和頻率梳製造商（Topica Photonics、Menlo Systems、Vexlum）。

市場的商業性軌跡由三大並行動態共同塑造。短期來看，量子隨機數產生和量子金鑰傳輸正推動成熟的量子光子產品帶來即時效益。中期來看，基於雲端的量子光子處理單元（QPU）正透過研究機構、政府機構以及量子機器學習、量子化學和金融最佳化等領域的公司所進行的試驗計畫，帶來日益成長的收入。長期來看，矽光電製造理論（即利用現有的CMOS晶圓代工廠基礎設施，以大規模生產的方式製造光學量子晶片，滿足由數十億個組件組成的容錯系統所需的規模）正支撐著諸如PsiQuantum公司70億美元的估值以及該領域最雄心勃勃的商業性預測等投資計畫。

本報告對全球量子光計算市場進行調查分析，並提供了定量預測、技術評估、競爭分析和公司概況。

目錄

第1章 執行摘要

• 主要市場發現
• 光學量子計算市場的定義與範圍
• 光學量子電腦的優點和缺點
• 市場動態和成長促進因素
• 技術藍圖和演進時間表
• 競爭格局
• 市場分佈：依地區
• 課題
• 光學量子運算：容錯性競賽 - 分析評估

第2章 引言

• 光學量子運算基礎
• 初始化、操作、讀取
• 硬體架構
• 類型
• 技術架構和設計範式概述

第3章 零件技術與供應鏈

• 用於光量子電腦的晶片和晶片組
• 關鍵組成部分分析
• 光子晶片技術及製造
• 軟體開發平台和SDK
• 供應鏈風險評估

第4章 應用市場

• 光子電腦和高效能運算
• 資料中心級量子計算
• 機架式光子電腦
• 光學量子邊緣運算
• 量子與人工智慧
• 量子化學與材料科學
• 金融服務與風險建模
• 機器學習與人工智慧的融合
• 最佳化與物流
• 國防、情報和航太
• 能源、公共產業
• 汽車、交通運輸
• 製藥、生物技術
• 研究和學術市場
• 新的應用領域

第5章 部署模型與基礎設施

• 雲端的量子運算服務
• 本地安裝類別
• 經典與量子混合計算的融合
• 高效能運算整合策略

第6章 區域市場分析

• 北美洲
  • 美國市場動態
  • 加拿大量子技術生態系統
• 歐洲
  • 英國和德國主導市場。
  • 荷蘭、丹麥和瑞士的趨勢
  • 歐盟量子計畫的影響
• 亞太地區
  • 中國市場的領導地位與政府支持
  • 日本的企業投資與研發投資
  • 韓國和澳洲的新興市場
  • 印度的量子運算計劃

第7章 市場預測與成長預測（2026-2036）

• 全球市場規模與營收預測
• 出貨量預測：依系統類型
• 市場滲透時間表：依應用領域分類
• 成長率分析：依地區分類
• 備選方案

第8章 投資趨勢與資金籌措分析

• 創業投資和私募投資的趨勢
• 政府資助和國家舉措
• 企業研發投資模式
• 首次公開募股和股市趨勢
• 策略夥伴關係和併購活動

第9章 挑戰與市場壁壘

• 技術挑戰與限制因素
• 與製造和擴充性相關的問題
• 對成本和經濟可行性的擔憂
• 技能差距與人力資本需求
• 與監管和標準化相關的挑戰

第10章 公司簡介（46家公司簡介）

第11章 研究機構與學術界（26個案例）

第12章 參考文獻

The global photonic quantum computing market is emerging as one of the most consequential technology sectors of the decade, defined by a fundamental departure from the engineering constraints that limit competing quantum modalities. By encoding and processing quantum information in photons - individual particles of light - photonic quantum computers operate at temperatures orders of magnitude warmer than superconducting platforms, communicate natively over standard optical fibre, and manufacture their core components using the same CMOS silicon photonics foundry processes that underpin the classical telecommunications and data centre industries. These structural advantages explain why photonic quantum computing attracted $2.1 billion in private capital in 2025 alone - overtaking superconducting as the single largest quantum hardware investment sub-category - representing 21% of all global quantum technology private investment.

The market sits at Technology Readiness Level 4-5 for hardware, with commercially deployable near-term systems already operational in rack-mounted formats at national computing facilities. ORCA Computing's PT-2 system was installed at the UK National Quantum Computing Centre within 36 hours of contract signing, demonstrating the operational simplicity that distinguishes photonic deployment from cryogenically demanding competing platforms. Quandela's Belenos photonic quantum computer - the most powerful photonic system at the time of its launch - is now accessible via cloud to over 1,200 researchers across 30 countries and has been delivered to EuroHPC infrastructure at CEA's computing centre in France. Xanadu's Borealis demonstrated a 216-mode Gaussian boson sampling computation beyond classical simulation capability and, following its 2026 NASDAQ listing, became the world's only publicly traded pure-play photonic quantum computing company.

Three distinct architectures define the current commercial landscape. Continuous-variable systems, led by Xanadu, encode quantum information in the quadrature amplitudes of squeezed optical fields, enabling quantum machine learning and simulation applications through the PennyLane software framework. Discrete-variable systems, pursued by PsiQuantum, Quandela, ORCA Computing, QuiX Quantum, and Quantum Source, operate on individual photons using linear optical circuits and measurement-induced computation, targeting fault-tolerant universal quantum computing. Hybrid spin-photon architectures, represented by Photonic Inc. with Microsoft backing, use photonic interconnects to link silicon spin qubits in a distributed fault-tolerant architecture aimed at room-temperature-ready quantum networking. Supporting all three are a global component supply chain encompassing single-photon sources (Sparrow Quantum, Quandela), superconducting nanowire single-photon detectors (Single Quantum, Nu Quantum, ID Quantique), photonic integrated circuit foundries (GlobalFoundries via PsiQuantum, Ligentec, LioniX International), and precision laser and frequency comb suppliers (Toptica Photonics, Menlo Systems, Vexlum).

The market's commercial trajectory is shaped by three concurrent dynamics. In the near term, quantum random number generation and quantum key distribution provide immediate revenue from commercially mature photonic products. In the medium term, cloud-based access to photonic QPUs is generating growing revenue from research institutions, government facilities, and enterprise pilot programmes in quantum machine learning, quantum chemistry, and financial optimisation. In the long term, the silicon photonics manufacturing thesis - that photonic quantum chips can be produced using existing CMOS foundry infrastructure at the volumes required for billion-component fault-tolerant systems - underpins the investment case for PsiQuantum's $7 billion valuation and the sector's most ambitious commercial projections.

The Global Photonic Quantum Computing Market 2026-2036 is a comprehensive strategic intelligence report providing the most detailed and data-rich analysis of the photonic quantum computing sector currently available. Spanning 169 pages, 26 data tables, and 9 figures, the report equips technology investors, enterprise strategy teams, government procurement officers, and quantum industry participants with the quantitative forecasts, technology assessments, competitive intelligence, and company profiles required to navigate the market.

The report is structured across thirteen chapters, providing systematic coverage from technology fundamentals through market forecasts, investment landscape, and granular company-level intelligence:

• Executive Summary - market definition and scope; pros and cons of photonic quantum computers; market dynamics and growth drivers; technology roadmap; competitive landscape; regional market distribution; challenges
• Introduction - photonic quantum computing fundamentals; initialisation, manipulation, and readout; hardware architecture; types of photonic quantum computers; technology architecture and design paradigms including continuous variable, discrete variable, T-centre, and hybrid photonic-electronic systems; performance advantages and limitations; novel and emerging architectures
• Component Technologies and Supply Chain - chips and chipsets; laser systems and light source technologies; frequency comb technologies; advanced photon detection systems; control and interface electronics; silicon photonics platforms; integrated quantum photonic circuits; manufacturing capabilities and constraints; software development platforms and SDKs; supply chain risk assessment
• Application Markets - photonic computers and HPC; data centre scale systems; rack-mounted photonic computers; photonic quantum edge computing; quantum and AI; quantum chemistry and materials science; financial services and risk modelling; machine learning and AI integration; optimisation and logistics; defence, intelligence, and aerospace; energy and utilities; automotive and transportation; pharmaceutical and biotechnology; research and academic markets; emerging application areas
• Deployment Models and Infrastructure - cloud-based quantum computing services; quantum cloud platforms and access models; service provider ecosystem; data centre-scale systems; rack-mounted solutions; edge computing applications; hybrid classical-quantum computing integration; HPC integration strategies
• Regional Market Analysis - United States; Canada; United Kingdom; Germany; Netherlands, Denmark, and Switzerland; EU Quantum Initiative impact; China; Japan; South Korea and Australia; India
• Market Forecasts and Growth Projections 2026-2036 - global market size and revenue projections; shipment volume forecasts by system type; market penetration timeline by application sector; regional growth rate analysis; accelerated, conservative, and technology disruption scenarios
• Investment Landscape and Funding Analysis - venture capital and private investment trends; government funding and national initiatives; corporate R&D investment patterns; IPO and public market activity; strategic partnership and M&A activity
• Challenges and Market Barriers - technical challenges and limitations; manufacturing and scalability issues; cost and economic viability concerns; skills gap and human capital requirements; regulatory and standardisation challenges
• Company Profiles - 41 detailed commercial company profiles spanning system developers, component suppliers, software platforms, and service providers
• Research Institutes and Academia - 26 leading research institutions and university groups worldwide driving photonic quantum computing advances
• Appendices - research methodology; technology comparison matrix; regional policy and funding summary; glossary of terms and acronyms
• References - 135 curated references including web links sourced from company profiles, academic publications, and market data

Companies profiled include Aegiq, Duality Quantum Photonics, Ephos, g2-Zero, Iceberg Quantum, ID Quantique, M-Labs, Menlo Systems, MITRE Corporation/CVE, Nanofiber Quantum Technologies, Nexus Photonics, Nicslab, NTT, ORCA Computing, Photonic, PsiQuantum and more.....

TABLE OF CONTENTS

1 EXECUTIVE SUMMARY

• 1.1 Key market findings
• 1.2 Photonic Quantum Computing Market Definition and Scope
• 1.3 Pros and Cons of Photonic Quantum Computers
• 1.4 Market Dynamics and Growth Drivers
• 1.5 Technology Roadmap and Evolution Timeline
• 1.6 Competitive Landscape
• 1.7 Regional Market Distribution
• 1.8 Challenges
• 1.9 Photonic Quantum Computing: Race to Fault Tolerance - Analytical Assessment
  • 1.9.1 Framing the Question
  • 1.9.2 Tier 1 - Highest Probability of Being First (Target Window: 2028-2030)
  • 1.9.3 Tier 2 - Strong Contenders with Distinct Technical Advantages (Target Window: 2029-2033)
  • 1.9.4 Tier 3 - Technically Innovative but Earlier-Stage (Target Window: 2030+)
  • 1.9.5 The Three Decisive Factors
    • 1.9.5.1 Manufacturing Is the Moat
    • 1.9.5.2 Deterministic Entanglement Is the Technical Wildcard
    • 1.9.5.3 Capital Defines the Execution Window

2 INTRODUCTION

• 2.1 Photonic Quantum Computing Fundamentals
• 2.2 Initialization, Manipulation, and Readout
• 2.3 Hardware Architecture
• 2.4 Types
• 2.5 Overview of Technology Architecture and Design Paradigms
  • 2.5.1 Architectural Classifications
    • 2.5.1.1 Continuous Variable (CV) Systems
    • 2.5.1.2 Discrete Variable Systems
    • 2.5.1.3 T Centre Architecture Models
    • 2.5.1.4 Hybrid Photonic-Electronic Designs
  • 2.5.2 Performance Advantages and Limitations
  • 2.5.3 Novel and Emerging Architectures
    • 2.5.3.1 Orbital Angular Momentum (OAM) Encoding
    • 2.5.3.2 Atom-in-High-Q-PIC
    • 2.5.3.3 Lithium Niobate on Insulator (LNOI) Optical QC
    • 2.5.3.4 T-Centre Silicon Colour Centres + Photonic Links
    • 2.5.3.5 Fusion-Based Quantum Computing (FBQC)
    • 2.5.3.6 Photonic Quantum Computing via Duality Quantum Simulator
    • 2.5.3.7 Programmable Squeezed Light Networks

3 COMPONENT TECHNOLOGIES AND SUPPLY CHAIN

• 3.1 Chips and Chipsets for Photonic Quantum Computers
• 3.2 Critical Component Analysis
  • 3.2.1 Laser Systems and Light Source Technologies
  • 3.2.2 Frequency Comb Technologies
  • 3.2.3 Advanced Photon Detection Systems
  • 3.2.4 Control and Interface Electronics
• 3.3 Photonic Chip Technologies and Manufacturing
  • 3.3.1 Silicon Photonics Platforms
  • 3.3.2 Integrated Quantum Photonic Circuits
  • 3.3.3 Manufacturing Capabilities and Constraints
• 3.4 Software Development Platforms and SDKs
• 3.5 Supply Chain Risk Assessment

4 APPLICATION MARKETS

• 4.1 Photonic Computers and HPC
• 4.2 Data Center Scale Photonic Quantum Computers
• 4.3 Rack-Mounted Photonic Computers
• 4.4 Photonic Quantum Edge Computing
• 4.5 Quantum and AI
• 4.6 Quantum Chemistry and Materials Science
• 4.7 Financial Services and Risk Modelling
• 4.8 Machine Learning and AI Integration
• 4.9 Optimization and Logistics
• 4.10 Defence, Intelligence and Aerospace
• 4.11 Energy and Utilities
• 4.12 Automotive and Transportation
• 4.13 Pharmaceutical and Biotechnology
• 4.14 Research and Academic Markets
• 4.15 Emerging Application Areas

5 DEPLOYMENT MODELS AND INFRASTRUCTURE

• 5.1 Cloud-Based Quantum Computing Services
  • 5.1.1 Quantum Cloud Platforms and Access Models
  • 5.1.2 Service Provider Ecosystem
• 5.2 On-Premise Installation Categories
  • 5.2.1 Data Center-Scale Systems
  • 5.2.2 Rack-Mounted Solutions
  • 5.2.3 Edge Computing Applications
• 5.3 Hybrid Classical-Quantum Computing Integration
• 5.4 High-Performance Computing (HPC) Integration Strategies

6 REGIONAL MARKET ANALYSIS

• 6.1 North America
  • 6.1.1 United States Market Dynamics
  • 6.1.2 Canada Quantum Technology Ecosystem
• 6.2 Europe
  • 6.2.1 United Kingdom and Germany Leading Markets
  • 6.2.2 Netherlands, Denmark, and Switzerland Developments
  • 6.2.3 EU Quantum Initiative Impact
• 6.3 Asia-Pacific
  • 6.3.1 China Market Leadership and Government Support
  • 6.3.2 Japan Corporate and Research Investments
  • 6.3.3 South Korea and Australia Emerging Markets
  • 6.3.4 India Quantum Computing Initiatives

7 MARKET FORECASTS AND GROWTH PROJECTIONS 2026-2036

• 7.1 Global Market Size and Revenue Projections
• 7.2 Shipment Volume Forecasts by System Type
• 7.3 Market Penetration Timeline by Application Sector
• 7.4 Regional Growth Rate Analysis
• 7.5 Alternative Scenario Planning
  • 7.5.1 Accelerated Growth Scenario
  • 7.5.2 Conservative Growth Scenario
  • 7.5.3 Technology Disruption Scenarios

8 INVESTMENT LANDSCAPE AND FUNDING ANALYSIS

• 8.1 Venture Capital and Private Investment Trends
• 8.2 Government Funding and National Initiatives
• 8.3 Corporate R&D Investment Patterns
• 8.4 IPO and Public Market Activity
• 8.5 Strategic Partnership and M&A Activity

9 CHALLENGES AND MARKET BARRIERS

• 9.1 Technical Challenges and Limitations
• 9.2 Manufacturing and Scalability Issues
• 9.3 Cost and Economic Viability Concerns
• 9.4 Skills Gap and Human Capital Requirements
• 9.5 Regulatory and Standardization Challenges

10 COMPANY PROFILES (46 company profiles)

11 RESEARCH INSTITUTES AND ACADEMIA 184 (26 profiles)

12 REFERENCES

List of Tables

• Table 1. Pros and cons of photon qubits.
• Table 2. Comparison of photon polarization and squeezed states.
• Table 3. Initialization, manipulation and readout of photonic platform quantum computers.
• Table 4. Photonic Quantum Computers Growth Drivers.
• Table 5. Challenges of Photonic Quantum Computers.
• Table 6. Types of Photonic Quantum Computers.
• Table 7. Photonic Quantum Computers Novel and Emerging Architectures.
• Table 8. PIC Platform Choices by Leading Photonic Quantum Companies
• Table 9. Laser Systems and Light Source Technologies.
• Table 10. Frequency Comb Technologies.
• Table 11. Advanced Photon Detection Systems.
• Table 12. Silicon Photonics Platforms.
• Table 13. Manufacturing Capabilities and Constraints.
• Table 14. Quantum Cloud Platforms and Access Models.
• Table 15. Data Center-Scale Systems.
• Table 16. Edge Computing Applications.
• Table 17. Global Market Size and Revenue Projections 2024-2036 (Millions USD).
• Table 18. Shipment Volume Forecasts by System Type 2024-2036.
• Table 19. Global Market Size and Revenue Projections 2024-2036, by Region (Millions USD).
• Table 20. Venture Capital and Private Investment Trends.
• Table 21. Government Funding and National Initiatives.
• Table 22. Technical Challenges and Limitations.
• Table 23. Manufacturing and Scalability Issues.
• Table 24. Cost and Economic Viability Concerns.

List of Figures

• Figure 1. Photonic Quantum Computers Technology Roadmap.
• Figure 2. Service Provider Ecosystem.
• Figure 3. Global Market Size and Revenue Projections 2024-2036 (Millions USD).
• Figure 4. Shipment Volume Forecasts by System Type 2024-2036.
• Figure 5. Global Market Size and Revenue Projections 2024-2036, by Region (Millions USD).
• Figure 6. PT-2 photonic quantum computer.
• Figure 7. PsiQuantum's modularized quantum computing system networks.
• Figure 8. 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.