Abstract
Simulating correlated electron systems

Correlated electron systems are generally difficult to simulate because of limited capabilities of computational resources. Harris
et al.
used a D-Wave chip based on a large array of superconducting elements to simulate the phases of a complex magnetic system. They tuned the amount of frustration within the lattice and varied the effective transverse magnetic field, which revealed phase transitions between a paramagnetic, an ordered antiferromagnetic, and a spin-glass phase. The results compare well to theory for this spin-glass problem, validating the approach for simulating problems in materials physics.


Science
, this issue p.
162
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References
44
[1]
Simulating physics with computers

Richard P. Feynman

International Journal of Theoretical Physics 10.1007/bf02650179
[10]
S. Suzuki J.-I. Inoue B. K. Chakrabarti Quantum Ising Phases and Transitions in Transverse Ising Models (Springer 2012). 10.1007/978-3-642-33039-1
[13]
M. Suzuki ed. Quantum Monte Carlo Methods (Springer 1986).
[16]
C. Domb M. Green eds. Phase Transitions and Critical Phenomena (Academic 1974).
[23]
V. Privman ed. Finite Size Scaling and Numerical Simulations of Statistical Systems (World Scientific 1990). 10.1142/1011
[27]
Theory of spin glasses

S F Edwards, P W Anderson

Journal of Physics F: Metal Physics 10.1088/0305-4608/5/5/017
[28]
H. Nishimori Statistical Physics of Spin Glasses and Information Processing: An Introduction (Oxford Science Publications 2001). 10.1093/acprof:oso/9780198509417.001.0001
Cited By
219
Beyond-classical computation in quantum simulation

Andrew D. King, Alberto Nocera · 2025

Science
Physical Review Applied
Quantum convolutional neural networks

Iris Cong, Soonwon Choi · 2019

Nature Physics
Metrics
219
Citations
44
References
Details
Published
Jul 13, 2018
Vol/Issue
361(6398)
Pages
162-165
Authors
Cite This Article
R. Harris, A. J. Berkley, M. Reis, et al. (2018). Phase transitions in a programmable quantum spin glass simulator. Science, 361(6398), 162-165. https://doi.org/10.1126/science.aat2025
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