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Neural-network states for the classical simulation of quantum computing
Bjarni Jónsson, Bela Bauer, Giuseppe Carleo
Simulating quantum algorithms with classical resources generally requires exponential resources. However, heuristic classical approaches are often very efficient in approximately s…
Symmetries and many-body excited states with neural-network quantum states
Kenny Choo, Giuseppe Carleo, Nicolas Regnault +1
Artificial neural networks have been recently introduced as a general ansatz to compactly represent many- body wave functions. In conjunction with Variational Monte Carlo, this ans…
Constructing exact representations of quantum many-body systems with deep neural networks
Giuseppe Carleo, Yusuke Nomura, Masatoshi Imada
We develop a constructive approach to generate artificial neural networks representing the exact ground states of a large class of many-body lattice Hamiltonians. It is based on th…