Neural network operations and Susuki–Trotter evolution of neural network states

DOI10.1142/S0219749918400087zbMath1407.81064arXiv1803.02118WikidataQ128882559 ScholiaQ128882559MaRDI QIDQ4620299

Giovanna Morigi, Vedran Dunjko, Nahuel Freitas

Publication date: 8 February 2019

Published in: International Journal of Quantum Information (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1803.02118

zbMATH Keywords

machine learningBoltzmann machinesquantum many-body states

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Learning and adaptive systems in artificial intelligence (68T05) Quantum computation (81P68) Many-body theory; quantum Hall effect (81V70) Quantum stochastic calculus (81S25) Quantum measurement theory, state operations, state preparations (81P15) Quantum coherence, entanglement, quantum correlations (81P40)

Related Items (3)

An empirical study of quantum dynamics as a ground state problem with neural quantum states ⋮ neural-network-states ⋮ Compact neural-network quantum state representations of Jastrow and stabilizer states

Uses Software

• GitHub

Cites Work

• A practical introduction to tensor networks: Matrix product states and projected entangled pair states
• Quantum Phase Transitions
• Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
• Entropy and area
• Justifying and Generalizing Contrastive Divergence

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