2025年量子状态报告_56页_14mb

Summary of "State of Quantum" Third Edition

Core Content

This report provides an in-depth analysis of the current state and future trajectory of quantum computing, based on interviews with industry experts, researchers, and users across multiple regions and sectors. It highlights the transition of quantum computing from a theoretical concept to a practical technology, emphasizing the need for integration across hardware, software, and applications.

Main Findings

• Quantum Computing's Impact: Quantum computing is expected to make its greatest impact on "small-data, high-complexity" problems where computational complexity is the main challenge, not data volume. These include fields like chemistry, materials science, financial optimization, and aerodynamic simulation.

• Market Growth: Omdia forecasts that the global quantum computing market will reach $22 billion by 2032, although it remains a subset of the broader HPC market. The market is still in early stages with substantial uncertainty.

• Adoption Trends:

  • Adopters: The majority of quantum computing adopters are in the research and education (R&E) sector (28%), and many are non-commercial entities, such as universities (42%) and government agencies (36%).
  • Regional Distribution:
    • North America leads in quantum computing adopters (46%), followed by Europe (33%) and Asia & Oceania (18%).
    • Funding: North America receives the majority of venture capital (58%) for quantum startups, while Europe has a higher number of companies (30%) but less funding (30%). The average funding per startup in North America is $38 million, compared to $12 million in Europe, indicating a potential undervaluation of European companies.

• Key Barriers to Adoption:

  • Problem Selection and Circuit Formulation: Users struggle with identifying problems that can benefit from quantum computing and translating them into quantum circuits. This is a more significant hurdle than execution or post-analysis.
  • Software Ecosystem: The lack of intuitive abstractions and domain-specific tools means only highly specialized experts can currently design useful quantum algorithms. There is also fragmentation in quantum software, with most SDKs tied to specific hardware.
  • Platform Integration: A robust, unified platform is essential for quantum computing to mature. This platform must integrate reliable hardware, efficient software, and support for hybrid workflows with classical computing.

• Quantum Software Development Needs:

  • Algorithm Libraries: Better algorithm libraries are needed to enable practical quantum applications.
  • Unified Frameworks: A common software framework that supports different quantum modalities is essential.
  • Compilers and Transpilers: Improved compilers and transpilers are required to optimize quantum circuits for execution.
  • Simulation and Emulation Tools: These are critical for experimentation and prototyping before deployment on actual quantum hardware.

• Interplay with AI: AI is playing a key role in quantum computing development by auto-generating circuits, optimizing pulse sequences, and proposing error-correction techniques. Conversely, future fault-tolerant quantum processors could enable more efficient AI training and problem-solving.

• Public Policy and National Programs: Public sector use cases, particularly cryptography and cryptanalysis, are prominent. However, the lack of standardized software and end-to-end solutions remains a major obstacle.

Key Qubit Modalities

Omdia identifies several key qubit modalities that are being pursued by quantum computing vendors, including:

• Superconducting Circuits (e.g., IQM)
• Photonic Qubits
• Trapped Ions
• Spin Qubits
• Topological Qubits
• Quantum Dots

Over half of the vendors are focusing on superconducting circuits and photonic qubits, which are the most common approaches. However, the report suggests that more modalities may emerge in the future.

The Quantum Stack

The Quantum Stack includes:

• Hardware: Qubit technologies and control systems.
• Software: Tools for circuit design, simulation, and execution.
• Middleware: Interfaces that allow for portability and compatibility across different quantum modalities.
• Tools and APIs: Unified APIs for integration with classical HPC systems and job scheduling.

A well-developed Quantum Stack is critical for enabling widespread adoption and practical applications.

Conclusion

The report concludes that quantum computing is at a pivotal moment, transitioning from a research tool to a more mature technology. However, this transition requires addressing both hardware industrialization and software platform development. The industry must move beyond isolated hardware and software advancements to create integrated, user-friendly systems that can support a broad range of applications. The report emphasizes the importance of cross-disciplinary collaboration, equitable funding, and education to ensure the field continues to grow and realizes its full potential.

Future Outlook

• Hardware: Needs to become more reliable, scalable, and less dependent on specialized infrastructure.
• Software: Must evolve to support high-level programming, portability, and simulation.
• Integration: Hybrid quantum-classical workflows are becoming essential, especially in high-value scientific computing.
• Education and Workforce Development: A shortage of quantum-literate engineers is a major systemic challenge.
• Global Collaboration: Investment and development must be balanced across regions to avoid uneven progress.

In summary, quantum computing is poised for growth but requires a concerted effort across all layers of the technology stack to become a foundational computing paradigm.