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Broecker, Peter, Carrasquilla, Juan, Melko, Roger G., Trebst, Simon (2017) Machine learning quantum phases of matter beyond the fermion sign problem. Scientific Reports, 7. doi:10.1038/s41598-017-09098-0

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Reference TypeJournal (article/letter/editorial)
TitleMachine learning quantum phases of matter beyond the fermion sign problem
JournalScientific Reports
AuthorsBroecker, PeterAuthor
Carrasquilla, JuanAuthor
Melko, Roger G.Author
Trebst, SimonAuthor
Year2017 (December)Volume7
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1038/s41598-017-09098-0Search in ResearchGate
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Mindat Ref. ID4681010Long-form Identifiermindat:1:5:4681010:8
GUID0
Full ReferenceBroecker, Peter, Carrasquilla, Juan, Melko, Roger G., Trebst, Simon (2017) Machine learning quantum phases of matter beyond the fermion sign problem. Scientific Reports, 7. doi:10.1038/s41598-017-09098-0
Plain TextBroecker, Peter, Carrasquilla, Juan, Melko, Roger G., Trebst, Simon (2017) Machine learning quantum phases of matter beyond the fermion sign problem. Scientific Reports, 7. doi:10.1038/s41598-017-09098-0
In(2017) Scientific Reports Vol. 7. Springer Science and Business Media LLC

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Carrasquilla, Juan, Melko, Roger G. (2017) Machine learning phases of matter. Nature Physics, 13 (5). 431-434 doi:10.1038/nphys4035
Broecker, Peter, Trebst, Simon (2016) Entanglement and the fermion sign problem in auxiliary field quantum Monte Carlo simulations. Physical Review B, 94 (7) doi:10.1103/physrevb.94.075144
Carrasquilla, Juan, Hao, Zhihao, Melko, Roger G. (2015) A two-dimensional spin liquid in quantum kagome ice. Nature Communications, 6. doi:10.1038/ncomms8421
Wan, Yuan, Carrasquilla, Juan, Melko, Roger G. (2016) Spinon Walk in Quantum Spin Ice. Physical Review Letters, 116 (16). doi:10.1103/physrevlett.116.167202
Melko, Roger G., Carleo, Giuseppe, Carrasquilla, Juan, Cirac, J. Ignacio (2019) Restricted Boltzmann machines in quantum physics. Nature Physics, 15 (9). 887-892 doi:10.1038/s41567-019-0545-1
Zhang, Yi, Bauer, Carsten, Broecker, Peter, Trebst, Simon, Kim, Eun-Ah (2019) Probing transport in quantum many-fermion simulations via quantum loop topography. Physical Review B, 99 (16) doi:10.1103/physrevb.99.161120
Broecker, Peter, Trebst, Simon (2016) Numerical stabilization of entanglement computation in auxiliary-field quantum Monte Carlo simulations of interacting many-fermion systems. Physical Review E, 94 (6) doi:10.1103/physreve.94.063306
Carrasquilla, Juan, Chen, Gang, Melko, Roger G. (2017) Tripartite entangled plaquette state in a cluster magnet. Physical Review B, 96 (5) doi:10.1103/physrevb.96.054405
Zhan, Tianzhuo, Fang, Lei, Xu, Yibin (2017) Prediction of thermal boundary resistance by the machine learning method. Scientific Reports, 7. doi:10.1038/s41598-017-07150-7
Torlai, Giacomo, Mazzola, Guglielmo, Carrasquilla, Juan, Troyer, Matthias, Melko, Roger, Carleo, Giuseppe (2018) Neural-network quantum state tomography. Nature Physics, 14 (5). 447-450 doi:10.1038/s41567-018-0048-5
Lamata, Lucas (2017) Basic protocols in quantum reinforcement learning with superconducting circuits. Scientific Reports, 7. doi:10.1038/s41598-017-01711-6
 
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