Learning the ground state of a non-stoquastic quantum Hamiltonian in a rugged neural network landscape
Strongly interacting quantum systems described by non-stoquastic Hamiltonians exhibit rich low-temperature physics. Yet, their study poses a formidable challenge, even for state-of-the-art numerical techniques. Here, we investigate systematically the performance of a class of universal variationa...
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| Format: | Article |
| Language: | English |
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SciPost
2021-06-01
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| Series: | SciPost Physics |
| Online Access: | https://scipost.org/SciPostPhys.10.6.147 |