Tag: Quantum Chemistry

2 entries

Exact Equivariance from Ordinary Neural Networks for Lattice Many-Body Dynamics

Quantum/Chemistry
Proposes using ordinary multilayer perceptrons with finite-group averaging to achieve exact equivariant surrogate models for correlated electron systems, enabling efficient force and transition energy evaluations.
New See LICENSE file Quantum Many-BodyEquivariant Neural NetworksElectronic Structure

Adaptive Minimum-Variance Phase Gradient Estimator Overcomes Trainability Barriers in Neural-Network-Based Variational Quantum Optimization

Quantum/Chemical
For quantum many-body physics and ab initio quantum chemistry, this work derives an unbiased direct gradient estimator and introduces the adaptive minimum-variance phase (AMVP) estimator to overcome training failures in weak-gradient regimes for neural-network variational optimization.
See LICENSE file Quantum Many-Body PhysicsVariational OptimizationGradient Estimation

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