全球量子光学计算市场（2026-2036 年）

全球量子光运算市场的特点在于其从根本上突破了限制其他量子技术的工程限制，并正在崛起成为未来十年最重要的技术领域之一。量子光电脑利用光子（单一光粒子）对量子资讯进行编码和处理，其运行温度比超导性平台高几个数量级，能够透过标准光纤进行原生通信，其核心组件采用与传统通讯和资料中心行业相同的CMOS硅光电晶圆代工厂製程製造。由于这些结构性优势，预计到2025年，量子光计算仅需21亿美元的私人资本投入，超导性，成为量子硬体投资的一个子类别，并占全球量子技术私人投资总额的21%。

此市场硬体技术成熟度已达到技术成熟度（TRL）4-5级，短期内即可商用部署的机架式系统已在国家级运算设施运作。 ORCA Computing公司的PT-2系统在合约签署后36小时内便安装于英国国家量子运算中心，充分展现了光子量子电脑部署的便利性，使其区别于其他需要低温环境的竞争平台。 Quandela公司的Belenos光子量子电脑在发布之初是性能最强大的光子系统，目前已透过云端供30个国家的1200多名研究人员使用，并部署于法国原子能委员会（CEA）计算中心的EuroHPC基础设施中。 Xanadu公司的Borealis系统展示了超越传统模拟能力的216模式高斯玻色子采样操作，并计划于2026年在纳斯达克上市，届时将成为全球唯一一家专注于纯光子量子计算的上市公司。

目前商业量子运算领域主要由三种架构构成。以 Xanadu主导的连续变数系统，将量子资讯编码到压缩光场的正交振幅中，并透过 PennyLane 软体框架实现量子机器学习和模拟应用。 PsiQuantum、Quandela、ORCA Computing、QuiX Quantum 和 Quantum Source 等公司正在研发的离散变数系统，利用线性光路和测量归纳运算来操控单一光子，旨在实现容错通用量子运算。以微软支援的 Photonic Inc. 为代表的自旋-光子混合架构，采用分散式容错架构，利用光子互连连接硅自旋量子位元，旨在实现室温量子网路。这三种方法都得到了全球组件供应链的支持，其中包括单光子源（Sparrow Quantum、Quandela）、超导性奈米线单光子检测器（Single Quantum、Nu Quantum、ID Quantique）、光子集成电路晶圆代工厂（GlobalFoundries 通过 PsiQuantum、Ligentec、LioniX International）以及高精度激光器和频率製造商。

市场的商业性轨迹由三大并行动态共同塑造。短期来看，量子随机数产生和量子金钥传输正推动成熟的量子光子产品带来即时效益。中期来看，基于云端的量子光子处理单元（QPU）正透过研究机构、政府机构以及量子机器学习、量子化学和金融优化等领域的公司所进行的试验计画，带来日益增长的收入。长期来看，硅光电製造理论（即利用现有的CMOS晶圆代工厂基础设施，以大规模生产的方式製造光学量子晶片，从而满足由数十亿个组件组成的容错系统所需的规模）正支撑着诸如PsiQuantum公司70亿美元的估值以及该领域最雄心勃勃的商业性预测等投资项目。

本报告对全球量子光计算市场进行了深入分析，并提供了定量预测、技术评估、竞争分析和公司概况。

目录

第一章执行摘要

• 主要市场发现
• 光学量子计算市场的定义与范围
• 光学量子电脑的优点和缺点
• 市场动态和成长驱动因素
• 技术蓝图和演进时间表
• 竞争格局
• 市场分布：按地区
• 任务
• 光学量子运算：容错性竞赛－分析评估

第二章：引言

• 光学量子运算基础
• 初始化、操作、读取
• 硬体架构
• 类型
• 技术架构和设计范式概述

第三章：零件技术与供应链

• 用于光量子电脑的晶片和晶片组
• 关键组成部分分析
• 光子晶片技术及製造
• 软体开发平台和SDK
• 供应链风险评估

第四章 应用市场

• 光子计算机和高效能运算
• 资料中心级量子计算
• 机架式光子计算机
• 光学量子边缘运算
• 量子与人工智慧
• 量子化学与材料科学
• 金融服务与风险建模
• 机器学习与人工智慧的融合
• 优化与物流
• 国防、情报和航太
• 能源、公共产业
• 汽车、交通运输
• 製药、生物技术
• 研究和学术市场
• 新的应用领域

第五章 部署模型与基础设施

• 基于云端的量子运算服务
• 本地安装类别
• 经典与量子混合计算的融合
• 高效能运算整合策略

第六章：区域市场分析

• 北美洲
  • 美国市场动态
  • 加拿大量子技术生态系统
• 欧洲
  • 英国和德国主导市场。
  • 荷兰、丹麦和瑞士的趋势
  • 欧盟量子计画的影响
• 亚太地区
  • 中国市场的领导地位与政府支持
  • 日本的企业投资与研发投资
  • 韩国和澳洲的新兴市场
  • 印度的量子运算计划

第七章 市场预测与成长预测（2026-2036）

• 全球市场规模与营收预测
• 出货量预测：依系统类型
• 市场渗透时间表：按应用领域划分
• 成长率分析：按地区划分
• 备选方案

第八章：投资趋势与资金筹措分析

• 创业投资和私募投资的趋势
• 政府资助和国家倡议
• 企业研发投资模式
• 首次公开募股和股市趋势
• 策略伙伴关係和併购活动

第九章：挑战与市场壁垒

• 技术挑战与限制因素
• 与製造和扩充性相关的问题
• 对成本和经济可行性的担忧
• 技能差距与人力资本需求
• 与监管和标准化相关的挑战

第十章：公司简介（46家公司简介）

第十一章：研究机构与学术界（26个案例）

第十二章参考文献

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.