Spin Chain

Spin chains, one-dimensional arrays of interacting spins, are a fundamental model system in condensed matter physics, with research focused on understanding their quantum phases and dynamics. Current investigations utilize advanced computational techniques, including variational Monte Carlo with neural network ansatzes (like restricted Boltzmann machines and recurrent neural networks), and novel neural network architectures designed to exploit symmetries or learn integrable Hamiltonians. These studies aim to characterize quantum phase transitions, entanglement propagation, and topological order, contributing to a deeper understanding of strongly correlated quantum systems and potentially informing the design of quantum technologies.