Monte Carlo option pricing on quantum computers: is a quantum advantage achievable?

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Monte Carlo option pricing on quantum computer
2023. 11. 03. 10:15
BME building F, seminar room of the Dept. of Theoretical Physics
Zoltán Udvarnoki (ELTE)
Quantum computers have the potential to provide quadratic speedup for Monte Carlo methods currently used in various classical applications. We examined [1] the advantage of quantum computers for financial option pricing with the Monte Carlo method. Systematic and statistical errors were handled in a joint framework, and a relationship to quantum gate error was established. New metrics were introduced for the assessment of quantum advantage based on sample count and optimized error handling.  Our numerical calculations reveal the unpredictable nature of systematic errors, making consistent quantum advantage difficult with current quantum hardware. Our results indicate that very low noise levels, a two-qubit gate error rate below 10-6, are necessary for the quantum method to outperform the classical one, but a low number of logical qubits (ca. 20) may be sufficient to see quantum advantage already.
[1]: Z Udvarnoki, G Fáth and N Fogarasi, Quantum advantage of Monte Carlo option pricing, J. Phys. Commun. 7, 055001 (2023).