Quantum error mitigation and correction mediated by Yang-Baxter equation and artificial neural network

Quantum computing shows great potential, but errors pose a significant challenge. This study explores new strategies for mitigating quantum errors using artificial neural networks (ANN) and the Yang-Baxter equation (YBE). Unlike traditional error correction methods, which are computationally intensive, we investigate artificial error mitigation. The manuscript introduces the basics of quantum error sources and explores the potential of using classical computation for error mitigation. The Yang-Baxter equation plays a crucial role, allowing us to compress time dynamics simulations into constant-depth …

ann artificial artificial neural networks challenge computing cond-mat.soft cs.lg equation error error correction errors network networks neural network neural networks physics.comp-ph quant-ph quantum quantum computing shows strategies study yang