Nuclear quantum effects are rigorously captured by imaginary-time path integrals, which map the quantum Boltzmann distribution onto a ring polymer of classical replicas. Yet the nuclear masses, the coupling to the environment, and the boundary conditions of the path remain hard-wired in the simulation or the trained model, even though this quantum context enters the path measure only through a quadratic action known in closed form. Here we show that a denoiser trained on classical Boltzmann statistics alone, composed at sampling time with an analytic Gaussian component carrying the entire quantum context, yields the quantum Boltzmann distribution of the nuclei. Such a composition exists and is exact whenever the training noise does not exceed the intrinsic quantum uncertainty of the target ensemble, and it is invariant across all quantum contexts admitted by this bound. We show exact transfer across temperature, isotopic mass, dissipation strength, and the boundary conditions of the path in theory and in numerical experiments, without retraining. The last yields the end-to-end displacement and momentum distributions of a tagged nucleus from open imaginary-time paths. The same invariance extends in principle to the permuted boundary conditions of bosonic exchange, with the identical denoiser. In this view, the noise of generative modeling and the quantum fluctuations of the nuclei are two faces of the same quadratic structure.
A quantum algorithm efficient for ranges of wave lengths, with complexity in the spatial dimension and discretization and query bounds containing {\it no} negative powers of the small wavelength, which can capture the correct physical observables even if the spatial grid does not resolve the frequency, hence defying th...
A product-formula quantum algorithm is presented that models single-channel helium–helium scattering by real-time evolution of a Gaussian wavepacket, requiring no precomputation of eigenstates and provides a ground-truth operator for benchmarking approximate quantum simulation.
Joshua M. Courtney, P. Stancil· Journal of Physical Chemistr...· 0 citations
An end-to-end expected learning guarantee is proved where the approximation term is determined by the omitted Fourier mass, while a normalized unbiased estimator yields an explicit statistical bound for empirical truncations.
Taha Hoseinpour Asli, Sajjad Hashemian, Ebrahim Ardeshir-Larijani· 0 citations
Connecting mathematical formalism in open quantum systems to its underlying physics necessitates the notion of a dilation, a way to bridge stochastic dynamics with deterministic Schr\"odinger evolution on a larger space. Although dilations are well known in the literature for states, channels, and quantum combs, there...
Jonáš Fuksa, Clara Wassner, Jens Eisert et al.· 2 citations
Quantum many-body dynamics is difficult to simulate because the global wavefunction develops extensive complexity, whereas local observables may retain only an intrinsic, system-size-independent complexity. This distinction is especially relevant in thermalizing systems, where local subsystems lose microscopic informat...
C. Wille, Max Marvell, Lauren Stewart et al.· 0 citations
We introduce a distinct route for extending classical atomistic spin dynamics into the quantum regime for arbitrary spin $s$, based on a variational product-state \textit{ansatz} that includes both pure and mixed local states. By construction, intersite entanglement -- expected to remain negligible even on very short t...
I. P. Miranda, Erik Sjoqvist· 0 citations
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