aiqbench analysis
This paper presents a novel quantum algorithm for simulating dynamics across all wavelength regimes by leveraging Weyl variables and quantum singular value transformation to overcome traditional oscillatory solution costs. The approach achieves polynomial complexity in spatial dimensions without relying on high-resolution grids, effectively bypassing standard Nyquist-Shannon sampling limitations for physical observables. This advancement addresses a fundamental bottleneck in quantum simulation efficiency within the semi-classical regime.
Wavelength-Uniform Quantum Algorithms for Quantum Dynamics
arXiv:2609.07384v1 Announce Type: new Abstract: One of the main challenges in quantum simulation is the prohibitive cost of computing its solutions in the semi-classical regime, in which the de Broglie wavelength is small compared with the characteristic length scale and the solution is highly oscillatory. This difficulty is overcome by using the Weyl variable, under which the solution is not oscillatory. Furthermore, we use the exact Hermite moments and quantum singular value transformation to treat the polynomial and Fourier components of the potential, resulting in a quantum algorithm efficient for {\it all} ranges of wavelengths. Specifically, it has a {\it polynomial} complexity in spatial dimension, and discretization and query bounds {\it without} negative powers of possibly small wavelength, thus enabling it to capture the correct physical observables even if the spatial grid does not resolve the frequency, hence defying the Nyquist-Shannon sampling theorem.
Abstract:One of the main challenges in quantum simulation is the prohibitive cost of computing its solutions in the semi-classical regime, in which the de Broglie wavelength is small compared with the characteristic length scale and the solution is highly oscillatory. This difficulty is overcome by using the Weyl variable, under which the solution is not oscillatory. Furthermore, we use the exact Hermite moments and quantum singular value transformation to treat the polynomial and Fourier components of the potential, resulting in a quantum algorithm efficient for {\it all} ranges of wavelengths. Specifically, it has a {\it polynomial} complexity in spatial dimension, and discretization and query bounds {\it without} negative powers of possibly small wavelength, thus enabling it to capture the correct physical observables even if the spatial grid does not resolve the frequency, hence defying the Nyquist-Shannon sampling theorem.
arXiv:2609.07384 [quant-ph]
(or arXiv:2609.07384v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2609.07384 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 229 words
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