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Digital Analyst | Futurist
Anthropologist | Author
brian@briansolis.com
@briansolis | www.briansolis.com
“Can Quantum Computing Solve
All Our Problems One Day?”
“If you’re human,
you’re biased.”
"Problems cannot be
solved by the same
level of thinking that
created them."
Digital Transformation #DX
Intelligent Enterprise
Quantum Enterprise
Self-Driving Enterprise
When we talk about quantum
computers, ultimately we mean
fault-tolerant devices.
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
'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.
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
The Roles Across
Layers of the Stack in
the Quantum Ecosystem
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
Is there room for creative
imagination in quantum computing?
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

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Quantum Computing Future Applications

  • 1. Digital Analyst | Futurist Anthropologist | Author brian@briansolis.com @briansolis | www.briansolis.com
  • 2. “Can Quantum Computing Solve All Our Problems One Day?”
  • 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.
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  • 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

Notes de l'éditeur

  1. https://www.wired.com/story/wired-guide-to-quantum-computing/
  2. https://www.bcg.com/publications/2018/next-decade-quantum-computing-how-play.aspx
  3. https://www.bcg.com/publications/2018/next-decade-quantum-computing-how-play.aspx
  4. https://www.bcg.com/publications/2018/next-decade-quantum-computing-how-play.aspx