Oxford, United Kingdom – 5 March 2024 – Quantum Dice, a University of Oxford spin-out pioneering quantum random number generator (QRNG) technology, and HSBC have collaborated on research demonstrating how QRNGs can enhance financial Monte Carlo simulations.
Monte Carlo simulations are widely used in the financial services industry for risk assessment, pricing complex derivatives, and portfolio optimisation. The quality of randomness used in these simulations directly impacts their accuracy and reliability.
The collaboration explored how Quantum Dice's DISC™-enabled QRNG technology can provide higher-quality entropy for Monte Carlo simulations, potentially improving simulation accuracy and reducing computational requirements.
Research conducted in partnership with the STFC Hartree Centre validated the commercial potential of using quantum random number generators to enhance stochastic computations in financial applications.
The findings demonstrate significant opportunities for quantum technologies to add value in financial services, supporting more accurate risk modelling and decision-making processes.
About Quantum Dice
Quantum Dice is working to solve one of the longest-standing problems in computing: generating trusted and reliable randomness. The company is developing the world's first scalable source-device independent continuously assuring quantum random number generator (QRNG).
For more information, visit: https://www.quantum-dice.com
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