Note: This repo is under active development and not ready for use.
Variational Monte Carlo dynamics for tensor-network states (MPS/PEPS), implemented with JAX primitives and NetKet interfaces.
- Sequential sampling 1
- Efficient energy and gradient evaluation with environment reuse
- Gauge-invariant PEPS for finite Abelian lattice gauge theory (
$Z_N$ groups) 2 - Sliced gradients for memory-efficient stochastic reconfiguration
- Gauge removal for improved numerical stability 3
Footnotes
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W.-Y. Liu, Y.-Z. Huang, S.-S. Gong, and Z.-C. Gu. Accurate Simulation for Finite Projected Entangled Pair States in Two Dimensions. Physical Review B 103(23):235155, 2021. https://doi.org/10.1103/PhysRevB.103.235155 ↩
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Y. Wu and W.-Y. Liu. Accurate Gauge-Invariant Tensor-Network Simulations for Abelian Lattice Gauge Theory in (2+1)D: Ground-State and Real-Time Dynamics. Physical Review Letters 135(13):130401, 2025. https://doi.org/10.1103/3m3j-ds18 ↩
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Y. Wu. Real-Time Dynamics in Two Dimensions with Tensor Network States via Time-Dependent Variational Monte Carlo. arXiv:2512.06768, 2025. https://doi.org/10.48550/arXiv.2512.06768 ↩