Weak Adversarial Neural Pushforward Method for the Wigner Transport Equation
arXiv QuantumArchived Apr 13, 2026✓ Full text saved
arXiv:2604.08763v1 Announce Type: new Abstract: We extend the Weak Adversarial Neural Pushforward Method to the Wigner transport equation governing the phase-space dynamics of quantum systems. The central contribution is a structural observation: integrating the nonlocal pseudo-differential potential operator against plane-wave test functions produces a Dirac delta that exactly inverts the Fourier transform defining the Wigner potential kernel, reducing the operator to a pointwise finite differe
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✦ AI Summary· Claude Sonnet
Quantum Physics
[Submitted on 9 Apr 2026]
Weak Adversarial Neural Pushforward Method for the Wigner Transport Equation
Andrew Qing He, Wei Cai, Sihong Shao
We extend the Weak Adversarial Neural Pushforward Method to the Wigner transport equation governing the phase-space dynamics of quantum systems. The central contribution is a structural observation: integrating the nonlocal pseudo-differential potential operator against plane-wave test functions produces a Dirac delta that exactly inverts the Fourier transform defining the Wigner potential kernel, reducing the operator to a pointwise finite difference of the potential at two shifted arguments. This holds in arbitrary dimension, requires no truncation of the Moyal series, and treats the potential as a black-box function oracle with no derivative information. To handle the negativity of the Wigner quasi-probability distribution, we introduce a signed pushforward architecture that decomposes the solution into two non-negative phase-space distributions mixed with a learnable weight. The resulting method inherits the mesh-free, Jacobian-free, and scalable properties of the original framework while extending it to the quantum setting.
Comments: 9 pages, 1 algorithm
Subjects: Quantum Physics (quant-ph); Machine Learning (cs.LG); Numerical Analysis (math.NA)
MSC classes: 65N75, 68T07, 81Q05, 81S30
Cite as: arXiv:2604.08763 [quant-ph]
(or arXiv:2604.08763v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2604.08763
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Submission history
From: Qing He [view email]
[v1] Thu, 9 Apr 2026 20:58:15 UTC (10 KB)
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