Is there room for creative imagination in quantum computing? by Brian Solis for NASSCOM NTLF 2020
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Brian Solis discusses the current limitations and future potential of quantum computing, highlighting the necessity for error correction due to noise sensitivity in algorithms. He outlines practical applications across various sectors, including finance, insurance, transportation, and pharmaceuticals. Solis emphasizes the need for collaboration and innovation to explore early quantum applications and gain a competitive edge.
Is there room for creative imagination in quantum computing? by Brian Solis for NASSCOM NTLF 2020
- 1. Digital Analyst | Futurist Anthropologist | Author brian@briansolis.com @briansolis | www.briansolis.com
- 2. “Can Quantum Computing Solve All Our Problems One Day?”
- 3. “If you’re human, you’re biased.”
- 4. "Problems cannot be solved by the same level of thinking that created them."
- 5. Digital Transformation #DX Intelligent Enterprise Quantum Enterprise Self-Driving Enterprise
- 6. When we talk about quantum computers, ultimately we mean fault-tolerant devices.
- 7. To solve a factoring problem that is not feasible for a classical computer, will require millions of qubits. This overhead is required for error correction, since most algorithms are extremely sensitive to noise. Not Yet at Quantum Advantage
- 8. 'Noisy Intermediate-Scale Quantum’ – John Preskill The strange era where quantum is possible but not ready to provide fault-tolerant implementations of initial algorithms (50-100 qubits). Noisy = Limited capacity, not enough qubits to spare for error correction. Intermediate-Scale = The finite qubit number limits experiments to “pre-change the world” levels.
- 11. Finance: portfolio optimization, asset pricing, risk analysis, fraud detection, market predictions. Insurance: Valuation of financial instruments (bonds, derivatives); valuation of options and guarantees on insurance products; quantifying operational risk. Insurance: Valuation of financial instruments (bonds, derivatives); valuation of options and guarantees on insurance products; quantifying operational risk. Energy Sector: Optimizing current network structure and predicting usage. Transportation: Traffic optimization. Logistics: Supply-chain optimization. Automotive and Aerospace: Autonomous driving or flying, managing a large fleet of vehicles.Chemicals and Pharma: Drug discovery, simulating molecules. Materials: Simulate better batteries, chips or network architectures or optimize existing structures. Blockchain and Cybersecurity: Maintaining blockchain’s secure transactions and contracts requires quantum-proof cryptographic methods. Early Quantum Applications
- 12. The Roles Across Layers of the Stack in the Quantum Ecosystem
- 13. 1. Form a Quantum CoE. 2. Analyze opportunities. 3. Gain experience. 4. Lead efforts or form partnership for hybrid and early experimentation. 5. Launch early offerings (first-mover advantage). Start Now - BCG
- 14. Is there room for creative imagination in quantum computing?
- 15. brian@briansolis.com BrianSolis.com Linkedin.com/in/briansolis @briansolis facebook.com/thebriansolis BrianSolis.tv briansolis “Research, thinking and storytelling that make digital trends, disruption and innovation approachable and meaningful.” Digital Analyst | Anthropologist Futurist | Author
Editor's Notes
- #12: https://www.wired.com/story/wired-guide-to-quantum-computing/
- #13: https://www.bcg.com/publications/2018/next-decade-quantum-computing-how-play.aspx
- #14: https://www.bcg.com/publications/2018/next-decade-quantum-computing-how-play.aspx
- #15: https://www.bcg.com/publications/2018/next-decade-quantum-computing-how-play.aspx