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Matrix quantum mechanics plays various important roles in theoretical physics, such as a holographic description of quantum black holes.
1902
Earlier work this paper cites.
1903
Earlier work this paper cites.
X. Han and S. A. Hartnoll, Deep Quantum Geometry of Matrices, Phys. Rev. X 10
1906
Earlier work this paper cites.
1908
Earlier work this paper cites.
1911
Earlier work this paper cites.
1911
Earlier work this paper cites.
S. Duane, A. D. Kennedy, B. J. Pendleton, and D. Roweth, Hybrid Monte Carlo, Phys. Lett. B 195
1987
Earlier work this paper cites.
B. de Wit, J. Hoppe, and H. Nicolai, On the Quantum Mechanics of Supermembranes, Nucl. Phys. B 305
1988
Earlier work this paper cites.
T. Banks, W. Fischler, S. Shenker, and L. Susskind, M theory as a matrix model: A Conjecture, Phys. Rev. D 55
1997
Earlier work this paper cites.
R. B. Lehoucq, D. C. Sorensen, and C. Yang, Arpack users guide: Solution of large scale eigenvalue problems by implicitly restarted arnoldi methods. (1997)
1997
Earlier work this paper cites.
J. M. Maldacena, The Large N limit of superconformal field theories and supergravity, Adv. Theor. Math. Phys. 2
1998
Earlier work this paper cites.
N. Itzhaki, J. M. Maldacena, J. Sonnenschein, and S. Yankielowicz, Supergravity and the large N limit of theories with sixteen supercharges, Phys. Rev. D 58
1998
Earlier work this paper cites.
2001
Earlier work this paper cites.
2004
Earlier work this paper cites.
J. Liu and Y. Xin, Quantum simulation of quantum field theories as quantum chemistry, JHEP 12
2004
Earlier work this paper cites.
2005
Earlier work this paper cites.
T. Byrnes and Y. Yamamoto, Simulating lattice gauge theories on a quantum computer, Phys. Rev. A 73
2006
Earlier work this paper cites.
N. Kim and J.-H. Park, Massive super Yang-Mills quantum mechanics: Classification and the relation to supermembrane, Nucl. Phys. B 759
2006
Earlier work this paper cites.
I. Buluta and F. Nori, Quantum simulators, Science 326
2009
Earlier work this paper cites.
I. Buluta, S. Ashhab, and F. Nori, Natural and artificial atoms for quantum computation, Reports on Progress in Physics 74
2011
Cited alongside, same era.
2011
Cited alongside, same era.
2011
Cited alongside, same era.
J. R. Johansson, P. D. Nation, and F. Nori, Qutip: An open-source python framework for the dynamics of open quantum systems, Computer Physics Communications 183
2012
Cited alongside, same era.
S. P. Jordan, K. S. Lee, and J. Preskill, Quantum Algorithms for Quantum Field Theories, Science 336
G. Carleo, Y. Nomura, and M. Imada, Constructing exact representations of quantum many-body systems with deep neural networks, Nature Communications 9
2018
Later among the works it cites.
C. Kane and M. McGuigan, Visualizing effective potentials and using the ibm-q to study quantum field theory models in 0+1 dimensions, in 2018 New York Scientific Data Summit (NYSDS) (2018) pp. 1–6
2018
Later among the works it cites.
M. Hanada, Markov Chain Monte Carlo for Dummies, (2018), arXiv:1808.08490 [hep-th]
2018
Later among the works it cites.
Z. Jia, B. Yi, R. Zhai, Y. Wu, G. Guo, and G. Guo, Quantum neural network states: A brief review of methods and applications, Advanced Quantum Technologies 2
2019
Later among the works it cites.
N. Klco and M. J. Savage, Digitization of scalar fields for quantum computing, Phys. Rev. A 99
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2012
Cited alongside, same era.
2012
Cited alongside, same era.
J. R. Johansson, P. D. Nation, and F. Nori, Qutip 2: A python framework for the dynamics of open quantum systems, Computer Physics Communications 184
2013
Cited alongside, same era.
I. M. Georgescu, S. Ashhab, and F. Nori, Quantum simulation, Rev. Mod. Phys. 86
2014
Cited alongside, same era.
2014
Cited alongside, same era.
2014
Cited alongside, same era.
2015
Cited alongside, same era.
J. R. Johansson, Numerical Python: A Practical Techniques Approach for Industry (Apress, 2015) pp. 1–487
2015
Cited alongside, same era.
2019
Later among the works it cites.
H. R. Grimsley, S. E. Economou, E. Barnes, and N. J. Mayhall, An adaptive variational algorithm for exact molecular simulations on a quantum computer, Nature Communications 10
2019
Later among the works it cites.
2019
Later among the works it cites.
J. Hermann, Z. Schätzle, and F. Noé, Deep-neural-network solution of the electronic schrödinger equation, Nature Chemistry 12
2020
Later among the works it cites.
K. Choo, A. Mezzacapo, and G. Carleo, Fermionic neural-network states for ab-initio electronic structure, Nature Communications 11
2020
Later among the works it cites.
2021
Closest in time.
M. Hanada, Bulk geometry in gauge/gravity duality and color degrees of freedom, Phys. Rev. D 103
2021
Closest in time.
S. Endo, Z. Cai, S. C. Benjamin, and X. Yuan, Hybrid quantum-classical algorithms and quantum error mitigation, Journal of the Physical Society of Japan 90
2021
Closest in time.
N. Yoshioka, W. Mizukami, and F. Nori, Solving quasiparticle band spectra of real solids using neural-network quantum states, Communications Physics 4
2021
Closest in time.
2021
Closest in time.
2021
Closest in time.
M. Treinish, J. Gambetta, P. Nation, P. Kassebaum, qiskit bot, D. M. Rodríguez, S. de la Puente González, S. Hu, K. Krsulich, L. Zdanski, J. Yu, J. Gacon, D. McKay, J. Gomez, L. Capelluto, Travis-S-IBM, A. Panigrahi, lerongil, R. I. Rahman, S. Wood, L. Bello, D. Singh, Drew, J. Schwarm, M. GEORGE, M. Marques, O. C. Hamido, RohitMidha23, S. Dague, and S. Garion, Qiskit/qiskit: Qiskit 0.29.0 (2021)
2021
Closest in time.
P. Lepage and C. Gohlke, gplepage/lsqfit: lsqfit version 11.8 10.5281/zenodo.4568470 (2021)
2021
Closest in time.
2021
Closest in time.
C.-W. Huang, D. Krueger, A. Lacoste, and A. Courville, Neural autoregressive flows, in International Conference on Machine Learning (PMLR, 2018) pp. 2078–2087
2087
Closest in time.