Can Quantum solve all of our Business problems one day? At the NASSCOM National Technology & Leadership Forum 2020, leading digital analyst and keynote speaker Brian Solis was asked to share his views on the state of Quantum Computing and his views on how enterprise organizations need to act today.
To book Brian as a speaker, please visit briansolis.com/speaker. For more about Brian and to learn more about how to work with him, please visit briansolis.com
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Quantum computing is a candidate for a breakthrough in technology that can happen anytime in the next decade. Complex problem solving would be enabled once this technology matures and shows a significant potential in creating value across multiple industries one of them being healthcare drug discovery. The question that arises is what should companies do in order to prepare themselves for these radical upgrades in tech and how business partnerships will evolve over time to achieve leadership in this sector of technology?
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.
9.
10.
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
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?
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