Zobrazeno 1 - 10
of 5 601
pro vyhledávání: '"Troyer M"'
Autor:
Flannigan, S., Pearson, N., Low, G. H., Buyskikh, A., Bloch, I., Zoller, P., Troyer, M., Daley, A. J.
The rapid development in hardware for quantum computing and simulation has led to much interest in problems where these devices can exceed the capabilities of existing classical computers and known methods. Approaching this for problems that go beyon
Externí odkaz:
http://arxiv.org/abs/2204.13644
Autor:
Bauman, Nicholas P., Liu, Hongbin, Bylaska, Eric J., Krishnamoorthy, S., Low, Guang Hao, Granade, Christopher E., Wiebe, N., Baker, Nathan A., Peng, B., Roetteler, M., Troyer, M., Kowalski, K.
This paper explores the utility of the quantum phase estimation (QPE) in calculating high-energy excited states characterized by promotions of electrons occupying inner energy shells. These states have been intensively studied over the last few decad
Externí odkaz:
http://arxiv.org/abs/2007.06185
Autor:
Darulová, J., Pauka, S. J., Wiebe, N., Chan, K. W., Gardener, G. C., Manfra, M. J., Cassidy, M. C., Troyer, M.
Publikováno v:
Phys. Rev. Applied 13, 054005 (2020)
Defining quantum dots in semiconductor based heterostructures is an essential step in initializing solid-state qubits. With growing device complexity and increasing number of functional devices required for measurements, a manual approach to finding
Externí odkaz:
http://arxiv.org/abs/1911.10709
Publikováno v:
The European Physical Journal B 91 (4), 70 (2018)
We benchmark the ground state energies and the density profiles of atomic repulsive Fermi gases in optical lattices computed via Density Functional Theory (DFT) against the results of diffusion Monte Carlo (DMC) simulations. The main focus is on a ha
Externí odkaz:
http://arxiv.org/abs/1801.02095
Publikováno v:
Phys. Rev. B 95, 184416 (2017)
We study the role of Hamiltonian complexity in the performance of quantum annealers. We consider two general classes of annealing Hamiltonians: stoquastic ones, which can be simulated efficiently using the quantum Monte Carlo algorithm, and nonstoqua
Externí odkaz:
http://arxiv.org/abs/1609.06558
Autor:
Gaenko, A., Antipov, A. E., Carcassi, G., Chen, T., Chen, X., Dong, Q., Gamper, L., Gukelberger, J., Igarashi, R., Iskakov, S., Könz, M., LeBlanc, J. P. F., Levy, R., Ma, P. N., Paki, J. E., Shinaoka, H., Todo, S., Troyer, M., Gull, E.
Publikováno v:
Comput. Phys. Comm. 213 (2017) 235-251
The open source ALPS (Algorithms and Libraries for Physics Simulations) project provides a collection of physics libraries and applications, with a focus on simulations of lattice models and strongly correlated systems. The libraries provide a conven
Externí odkaz:
http://arxiv.org/abs/1609.03930
Publikováno v:
Phys. Rev. A 94, 022309 (2016)
We study a variant of the quantum approximate optimization algorithm [ E. Farhi, J. Goldstone, and S. Gutmann, arXiv:1411.4028] with slightly different parametrization and different objective: rather than looking for a state which approximately solve
Externí odkaz:
http://arxiv.org/abs/1605.05370
Publikováno v:
Phys. Rev. Lett. 117, 066402 (2016)
The recently discovered type-II Weyl points appear at the boundary between electron and hole pockets. Type-II Weyl semimetals that host such points are predicted to exhibit a new type of chiral anomaly and possess thermodynamic properties very differ
Externí odkaz:
http://arxiv.org/abs/1603.04624
Autor:
Troyer M; Department of Psychology, University of Nevada, Las Vegas, Nevada, USA.; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA.; Department of Psychology, Brain & Mind Institute, University of Western Ontario, London, Ontario, Canada., Kutas M; Department of Cognitive Science, University of California, San Diego, California, USA.; Department of Neuroscience, University of California, San Diego, California, USA., Batterink L; Department of Psychology, Brain & Mind Institute, University of Western Ontario, London, Ontario, Canada., McRae K; Department of Psychology, Brain & Mind Institute, University of Western Ontario, London, Ontario, Canada.
Publikováno v:
Psychophysiology [Psychophysiology] 2024 Jan; Vol. 61 (1), pp. e14422. Date of Electronic Publication: 2023 Aug 28.
Autor:
Ju F; Microsoft Research AI for Science, Beijing 100080, China., Wei X; Microsoft Research AI for Science, Beijing 100080, China., Huang L; Microsoft Research AI for Science, Beijing 100080, China., Jenkins AJ; Microsoft Azure Quantum, Redmond, Washington 98052, United States., Xia L; Microsoft Research AI for Science, Beijing 100080, China., Zhang J; Microsoft Research AI for Science, Beijing 100080, China., Zhu J; Microsoft Research AI for Science, Beijing 100080, China., Yang H; Microsoft Research AI for Science, Shanghai 200232, China., Shao B; Microsoft Research AI for Science, Beijing 100080, China., Dai P; Microsoft Research AI for Science, Beijing 100080, China., Williams-Young DB; Microsoft Azure Quantum, Redmond, Washington 98052, United States., Mayya A; Microsoft Azure Quantum, Redmond, Washington 98052, United States., Hooshmand Z; Microsoft Azure Quantum, Redmond, Washington 98052, United States., Efimovskaya A; Microsoft Azure Quantum, Redmond, Washington 98052, United States., Baker NA; Microsoft Azure Quantum, Redmond, Washington 98052, United States., Troyer M; Microsoft Azure Quantum, Redmond, Washington 98052, United States., Liu H; Microsoft Azure Quantum, Redmond, Washington 98052, United States.
Publikováno v:
Journal of chemical theory and computation [J Chem Theory Comput] 2024 Dec 11. Date of Electronic Publication: 2024 Dec 11.