Quantum Boltzmann Machine

S. Golden, Lower bounds for the Helmholtz function, Phys. Rev., 137

1965

Earlier work this paper cites.

C.J. Thompson, Inequality with applications in statistical mechanics, J. Math. Phys. 6

1965

Earlier work this paper cites.

G. E. Hinton, T. J. Sejnowski, Optimal perceptual inference, CVPR 1983

1983

Earlier work this paper cites.

T. J. Sejnowski, Higher-order Boltzmann machines, AIP Conference Proceedings 151: Neural Networks for Computing (1986)

1986

Earlier work this paper cites.

C.M. Bishop, Pattern Recognition and Machine Learning, Springer 2006

2006

Earlier work this paper cites.

G. E. Hinton, S. Osindero, Y-W. Teh, A fast learning algorithm for deep belief nets, Neural Comput. 18

2006

Earlier work this paper cites.

S. Osindero and G.E. Hinton, Modeling image patches with a directed hierarchy of Markov random fields, Advances in neural information processing systems (2008)

2008

Earlier work this paper cites.

R. Salakhutdinov, G. E. Hinton, Deep Boltzmann machines, AISTATS 2009

2009

Earlier work this paper cites.

M. Ranzato, G. E. Hinton, Modeling pixel means and covariances using factorized third-order Boltzmann machines, CVPR 2010

2010

Cited alongside, same era.

R. Memisevic, G. E. Hinton, Learning to represent spatial transformation with factored higher-order Boltzmann machines, Neural Comput. 22

2010

Cited alongside, same era.

R. Harris et al

2010

Cited alongside, same era.

M. Denil and N. de Freitas, Toward the implementation of a quantum RBM, NIPS*2011 Workshop on Deep Learning and Unsupervised Feature Learning

2011

Cited alongside, same era.

M.W. Johnson, M.H.S. Amin, S. Gildert, T. Lanting, F. Hamze, N. Dickson, R. Harris, A.J. Berkley, J. Johansson, P. Bunyk, E.M. Chapple, C. Enderud, J.P. Hilton, K. Karimi, E. Ladizinsky, N. Ladizinsky, T. Oh, I. Perminov, C. Rich, M.C. Thom, E. Tolkacheva, C.J.S. Truncik, S. Uchaikin, J. Wang, B. Wilson, and G. Rose, Quantum Annealing with Manufactured Spins, Nature 473

P. Rebentrost, M. Mohseni, S. Lloyd, Quantum support vector machine for big data classification, Phys. Rev. Lett. 113

2014

Later among the works it cites.

V. Dumoulin, I.J. Goodfellow, A. Courville, Y. and Bengio, On the Challenges of Physical Implementations of RBMs, AAAI 2014: 1199-1205

2014

Later among the works it cites.

S. Boixo, T.F. Rønnow, S.V. Isakov, Z. Wang, D. Wecker, D.A. Lidar, J.M. Martinis, M. Troyer, Nature Phys. 10

2014

Later among the works it cites.

S. Boixo, V. N. Smelyanskiy, A. Shabani, S. V. Isakov, M. Dykman, V. S. Denchev, M. Amin, A. Smirnov, M. Mohseni, and H. Neven, eprint arXiv:1502.05754, long version: arXiv:1411.4036 (2014)

Original

2014

Later among the works it cites.

T. Lanting et al

2014

Later among the works it cites.