Hybrid Ground-State Quantum Algorithms based on Neural Schr\"odinger Forging

arXiv:2307.02633v2 Announce Type: replace-cross
Abstract: Entanglement forging based variational algorithms leverage the bi-partition of quantum systems for addressing ground state problems. The primary limitation of these approaches lies in the exponential summation required over the numerous potential basis states, or bitstrings, when performing the Schmidt decomposition of the whole system. To overcome this challenge, we propose a new method for entanglement forging employing generative neural networks to identify the most pertinent bitstrings, eliminating the need for the exponential sum. Through …

abstract algorithms arxiv cond-mat.stat-mech cs.lg entanglement hybrid lies quant-ph quantum schmidt state systems type