At the Commercialising Quantum Computing conference in London, experts from Quantinuum, Barclays, and HSBC outline how quantum computing delivers business value by 2028. They demonstrate how quantum-enhanced machine learning accelerates large-scale data analysis, optimizes financial simulations through true randomness, and bolsters cybersecurity with pattern detection. With NIST ratifying post-quantum cryptography standards and financial regulators mandating quantum-safe encryption, these developments pave the way for quantum integration into enterprise IT workflows.
Key points
- Quantinuum demonstrates generative quantum AI for accelerated pattern detection using quantum-enhanced machine learning on large datasets.
- HSBC applies Random Circuit Sampling (RCS) to generate certified quantum random numbers for optimized financial Monte Carlo simulations.
- Financial institutions plan migration to NIST-approved post-quantum cryptography, replacing RSA-2048 by 2035 for quantum-safe encryption.
Why it matters: Quantum computing's imminent commercial viability promises to transform cybersecurity, financial modeling, and AI-driven materials science by surpassing classical computing limitations.
Q&A
- What is a logical qubit?
- How does quantum machine learning differ from classical ML?
- What is Random Circuit Sampling (RCS)?
- Why is post-quantum cryptography important?