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- Roger G. Melko, Ribhu K. Kaul
- Physical review letters
- 2008

We present results of extensive finite-temperature quantum Monte Carlo simulations on a SU(2) symmetric S=1/2 quantum antiferromagnet with four-spin interaction [A. W. Sandvik, Phys. Rev. Lett. 98,â€¦ (More)

- S. Bramwell, Matthew J Harris, +8 authors Tom Fennell
- Physical review letters
- 2001

The pyrochlore material Ho2Ti2O7 has been suggested to show "spin ice" behavior. We present neutron scattering and specific heat results that establish unambiguously that Ho2Ti2O7 exhibits spin iceâ€¦ (More)

- Matthew B. Hastings, Ivan Gonzalez, Ann Berlinsky Kallin, Roger G. Melko
- Physical review letters
- 2010

We develop a quantum Monte Carlo procedure, in the valence bond basis, to measure the Renyi entanglement entropy of a many-body ground state as the expectation value of a unitary Swap operator actingâ€¦ (More)

- Giacomo Torlai, Roger G. Melko
- ArXiv
- 2016

A Boltzmann machine is a stochastic neural network that has been extensively used in the layers of deep architectures for modern machine learning applications. In this paper, we develop a Boltzmannâ€¦ (More)

- Giacomo Torlai, Roger G. Melko
- Physical review letters
- 2017

We present an algorithm for error correction in topological codes that exploits modern machine learning techniques. Our decoder is constructed from a stochastic neural network called a Boltzmannâ€¦ (More)

L. D. C. Jaubert, 2, 3, 4, âˆ— M. J. Harris, T. Fennell, R. G. Melko, 8 S. T. Bramwell, and P. C. W. Holdsworth Laboratoire de Physique, Ã‰cole Normale SupÃ©rieure de Lyon, UniversitÃ© de Lyon, CNRS, 46â€¦ (More)

- Matthew S. Block, Roger G. Melko, Ribhu K. Kaul
- Physical review letters
- 2013

We present an extensive quantum Monte Carlo study of the NÃ©el to valence-bond solid (VBS) phase transition on rectangular- and honeycomb-lattice SU(N) antiferromagnets in sign-problem-free models. Weâ€¦ (More)

- Alan Morningstar, Roger G. Melko
- Journal of Machine Learning Research
- 2017

It is well established that neural networks with deep architectures perform better than shallow networks for many tasks in machine learning. In statistical physics, while there has been recentâ€¦ (More)

- Ann Berlinsky Kallin, Katharine Hyatt, Rajiv R. P. Singh, Roger G. Melko
- Physical review letters
- 2013

We develop a method to calculate the bipartite entanglement entropy of quantum models, in the thermodynamic limit, using a numerical linked-cluster expansion (NLCE) involving only rectangularâ€¦ (More)

Although the leading-order scaling of entanglement entropy is nonuniversal at a quantum critical point (QCP), sub-leading scaling can contain universal behaviour. Such universal quantities areâ€¦ (More)