Neural-network quantum state tomography
暂无分享,去创建一个
Matthias Troyer | Juan Carrasquilla | Roger Melko | Guglielmo Mazzola | Giacomo Torlai | Giuseppe Carleo | R. Melko | M. Troyer | G. Carleo | J. Carrasquilla | G. Mazzola | G. Torlai | Giuseppe Carleo
[1] Roger G. Melko,et al. Machine learning phases of matter , 2016, Nature Physics.
[2] M. Troyer,et al. Quantum Monte Carlo annealing with multi-spin dynamics , 2017, 1701.08775.
[3] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[4] Lu-Ming Duan,et al. Efficient representation of quantum many-body states with deep neural networks , 2017, Nature Communications.
[5] J. Chen,et al. Equivalence of restricted Boltzmann machines and tensor network states , 2017, 1701.04831.
[6] M. Rispoli,et al. Measuring entanglement entropy in a quantum many-body system , 2015, Nature.
[7] S. Huber,et al. Learning phase transitions by confusion , 2016, Nature Physics.
[8] Jian-Wei Pan,et al. Experimental Ten-Photon Entanglement. , 2016, Physical review letters.
[9] J. Dalibard,et al. Many-Body Physics with Ultracold Gases , 2007, 0704.3011.
[10] M. Suzuki,et al. Relationship between d-Dimensional Quantal Spin Systems and (d+1)-Dimensional Ising Systems: Equivalence, Critical Exponents and Systematic Approximants of the Partition Function and Spin Correlations , 1976 .
[11] A. Yacoby,et al. Demonstration of Entanglement of Electrostatically Coupled Singlet-Triplet Qubits , 2012, Science.
[12] F. Krzakala,et al. Path-integral representation for quantum spin models: Application to the quantum cavity method and Monte Carlo simulations , 2008, 0807.2553.
[13] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[14] M. Greiner,et al. Probing the Superfluid–to–Mott Insulator Transition at the Single-Atom Level , 2010, Science.
[15] Roger G. Melko,et al. Learning Thermodynamics with Boltzmann Machines , 2016, ArXiv.
[16] C. Schwemmer,et al. Permutationally invariant quantum tomography. , 2010, Physical review letters.
[17] Li Huang,et al. Accelerated Monte Carlo simulations with restricted Boltzmann machines , 2016, 1610.02746.
[18] Ruslan Salakhutdinov,et al. On the quantitative analysis of deep belief networks , 2008, ICML '08.
[19] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.
[20] Matthew B Hastings,et al. Measuring Renyi entanglement entropy in quantum Monte Carlo simulations. , 2010, Physical review letters.
[21] D. Deng,et al. Quantum Entanglement in Neural Network States , 2017, 1701.04844.
[22] S. Sorella. GREEN FUNCTION MONTE CARLO WITH STOCHASTIC RECONFIGURATION , 1998, cond-mat/9803107.
[23] Dong-Ling Deng,et al. Exact Machine Learning Topological States , 2016 .
[24] Giacomo Torlai,et al. Neural Decoder for Topological Codes. , 2016, Physical review letters.
[25] M. W. Johnson,et al. Quantum annealing with manufactured spins , 2011, Nature.
[26] O. Gühne,et al. 03 21 7 2 3 M ar 2 00 6 Scalable multi-particle entanglement of trapped ions , 2006 .
[27] Wolff,et al. Collective Monte Carlo updating for spin systems. , 1989, Physical review letters.
[28] Yang Qi,et al. Self-learning Monte Carlo method , 2016, 1610.03137.
[29] Shun-ichi Amari,et al. Natural Gradient Works Efficiently in Learning , 1998, Neural Computation.
[30] H. Evertz,et al. The loop algorithm , 2003 .
[31] Matthias Troyer,et al. Solving the quantum many-body problem with artificial neural networks , 2016, Science.
[32] Jian-Wei Pan,et al. Experimental entanglement of six photons in graph states , 2006, quant-ph/0609130.
[33] Juan Carrasquilla,et al. Machine learning quantum phases of matter beyond the fermion sign problem , 2016, Scientific Reports.
[34] Lei Wang,et al. Discovering phase transitions with unsupervised learning , 2016, 1606.00318.
[35] Yichen Huang,et al. Neural Network Representation of Tensor Network and Chiral States. , 2017, Physical review letters.
[36] Alexey V. Gorshkov,et al. Non-local propagation of correlations in quantum systems with long-range interactions , 2014, Nature.
[37] R. Blatt,et al. Quantum simulations with trapped ions , 2011, Nature Physics.
[38] Vogel,et al. Determination of quasiprobability distributions in terms of probability distributions for the rotated quadrature phase. , 1989, Physical review. A, General physics.
[39] D. Gross,et al. Efficient quantum state tomography. , 2010, Nature communications.