CppSim delivers GPU-accelerated tensor network dynamics for the 2D Ising model via zero-malloc workspace, custom permutation kernel (7.6x Trotter speedup), hybrid QR, and adaptive log-space belief propagation.
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PEPSKit.jl is a Julia package that supplies high-level algorithms for ground-state, time-evolution and finite-temperature iPEPS simulations with symmetry support on various lattices.
Tensor networks developed for quantum states are reviewed as tools for machine learning models, with assessment of their potential computational, explanatory, and privacy advantages alongside remaining challenges.
Introductory lecture notes on tensor networks with emphasis on matrix-product states, their algorithms, higher-dimensional generalizations, and applications to mixed states and open quantum systems, accompanied by Julia code.
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GPU-First Heisenberg-Picture Tensor Network Dynamics for the 2D Transverse-Field Ising Model
CppSim delivers GPU-accelerated tensor network dynamics for the 2D Ising model via zero-malloc workspace, custom permutation kernel (7.6x Trotter speedup), hybrid QR, and adaptive log-space belief propagation.