2022-03-30-科尔尼-Who_will_use_quantum_computing,_and_how_10页_3mb

报告摘要

Introduction/Context

Quantum computing poses immense potential but also strategic uncertainty due to its complexity.
This report examines use cases, players, and business implications, aiming to help organizations make informed strategic choices.

Who Will Use Quantum Computing and Why Now?

Relevance Depends on Industry: Relevance varies by sector (e.g., highly relevant for pharma, finance, aerospace; less so for others, but needs monitoring).
Security Imperative: Government agencies, defense, intelligence, and industries needing long-term cryptographic security must invest early.
Exploratory Driven: High-value industries should prepare for disruption by investigating specific applications now.
Early Advantage: Organizations can spot first-mover advantages in understanding and applying quantum for specific problems.
Vendor Involvement: Vendors are actively developing the technology, making leveraging capabilities easier for many.

Deployment Strategy & Timeline Considerations

Playing Field Not Open: Barriers apply due to dependence on algorithms.
Accelerated Advances: Early movers are likely to gain significant advantages beyond competitors.
Long Lead Times: Unique skills and resources are required. Acting now is advised to secure talent and mitigate scarcity later (ROI concerns).
Recommended Approach: Services (SaaS/PaaS) are favored due to the high cost and complexity of hardware.
Partial In-House Development: Avoids the pitfalls of full development but can still build capabilities.

Who Should Action Now vs. Watch:

Get Ready Now: Industries facing disruption (e.g., financial services, pharma, aerospace), critical security sectors (government/military), vital systems management, long-term crypto risks.
Watch and Monitor: Retail, FMCG, ICT/manufacturing, parts of government/civil defense, energy.
Technology May Be Indirectly Affected: Other sectors.

Key Points on Strategy & Implementation

Focus on business outcomes and ROI from solving specific problems, not just technology.
Map out needed quantum hardware, software, algorithms for desired outcomes and identify threats.
Determine the optimal deployment path (external vendor or limited internal development).
Build a business case with concrete use cases and quantifiable ROI estimates.
Choose reliable SaaS/PaaS providers.
Continuously monitor technology evolution and algorithm developments.
Seek trusted R&D partners.

Conclusion

Quantum computing should focus on business cases and desired outcomes, not just qubits and algorithms.
Avoid extremes (rush or delay); use the information outlined to guide the organization's strategy towards achievable goals.

Authors & Disclaimer