Quantum algorithm for credit valuation adjustments

نویسندگان

چکیده

Abstract Quantum mechanics is well known to accelerate statistical sampling processes over classical techniques. In quantitative finance, samplings arise broadly in many use cases. Here we focus on a particular one of such cases, credit valuation adjustment (CVA), and identify opportunities challenges towards quantum advantage for practical instances. To build NISQ-friendly circuit able solve problem, draw various heuristics that indicate the potential significant improvement well-known techniques as reversible logical synthesis. minimizing resource requirements amplitude amplification while maximizing speedup gained from coherence noisy device, adopt recently developed Bayesian variant estimation using engineered likelihood functions. We perform numerical analyses characterize prospect concrete CVA instances Monte Carlo simulations.

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ژورنال

عنوان ژورنال: New Journal of Physics

سال: 2022

ISSN: ['1367-2630']

DOI: https://doi.org/10.1088/1367-2630/ac5003