Optimizing design choices for neural quantum states
Neural quantum states are a new family of variational Ansätze for quantum-many body wave
functions with advantageous properties in the notoriously challenging case of two spatial …
functions with advantageous properties in the notoriously challenging case of two spatial …
Highly resolved spectral functions of two-dimensional systems with neural quantum states
Spectral functions are central to link experimental probes to theoretical models in
condensed matter physics. However, performing exact numerical calculations for interacting …
condensed matter physics. However, performing exact numerical calculations for interacting …
Simplicity of mean-field theories in neural quantum states
The utilization of artificial neural networks to represent quantum many-body wave functions
has garnered significant attention, with enormous recent progress for both ground states and …
has garnered significant attention, with enormous recent progress for both ground states and …
Efficient Optimization of Variational Autoregressive Networks with Natural Gradient
Estimating free energy is a fundamental problem in statistical mechanics. Recently, machine-
learning-based methods, particularly the variational autoregressive networks (VANs), have …
learning-based methods, particularly the variational autoregressive networks (VANs), have …
Zero-temperature Monte Carlo simulations of two-dimensional quantum spin glasses guided by neural network states
A continuous-time projection quantum Monte Carlo algorithm is employed to simulate the
ground state of a short-range quantum spin-glass model, namely, the two-dimensional …
ground state of a short-range quantum spin-glass model, namely, the two-dimensional …
Fidelity and Overlap of Neural Quantum States: Error Bounds on the Monte Carlo Estimator
T Szołdra - arxiv preprint arxiv:2311.14820, 2023 - arxiv.org
Overlap between two neural quantum states can be computed through Monte Carlo
sampling by evaluating the unnormalized probability amplitudes on a subset of basis …
sampling by evaluating the unnormalized probability amplitudes on a subset of basis …
Simplicity of mean-field theories in neural quantum states
F Ballar Trigueros, T Mendes-Santos, M Heyl - 2024 - opus.bibliothek.uni-augsburg.de
Representing the wave function of complex quantum matter is exceedingly difficult.
Addressing this challenge has prompted the proposal of various techniques and …
Addressing this challenge has prompted the proposal of various techniques and …