Classical Stochasticity Using Quantum Computers

Abstract:We suggest that quantum algorithms can be used to model classical stochastic simulations as the measurement process is inherently random. To illustrate, we solve the classical Lorenz system with stochastic behavior using a Python random number generator. We compare the classical stochasticity of the Lorenz system with the measured output of the system obtained using quantum algorithms.

arXiv:2606.09384 [quant-ph]

(or arXiv:2606.09384v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2606.09384 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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