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?
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