Probing critical states of matter on a digital quantum computer

Fuente: arXiv
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Autores principales: Haghshenas, Reza, Chertkov, Eli, DeCross, Matthew, Gatterman, Thomas M., Gerber, Justin A., Gilmore, Kevin, Gresh, Dan, Hewitt, Nathan, Horst, Chandler V., Matheny, Mitchell, Mengle, Tanner, Neyenhuis, Brian, Hayes, David, Foss-Feig, Michael
Formato: Preprint
Publicado: 2023
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author Haghshenas, Reza
Chertkov, Eli
DeCross, Matthew
Gatterman, Thomas M.
Gerber, Justin A.
Gilmore, Kevin
Gresh, Dan
Hewitt, Nathan
Horst, Chandler V.
Matheny, Mitchell
Mengle, Tanner
Neyenhuis, Brian
Hayes, David
Foss-Feig, Michael
author_facet Haghshenas, Reza
Chertkov, Eli
DeCross, Matthew
Gatterman, Thomas M.
Gerber, Justin A.
Gilmore, Kevin
Gresh, Dan
Hewitt, Nathan
Horst, Chandler V.
Matheny, Mitchell
Mengle, Tanner
Neyenhuis, Brian
Hayes, David
Foss-Feig, Michael
contents Although quantum mechanics underpins the microscopic behavior of all materials, its effects are often obscured at the macroscopic level by thermal fluctuations. A notable exception is a zero-temperature phase transition, where scaling laws emerge entirely due to quantum correlations over a diverging length scale. The accurate description of such transitions is challenging for classical simulation methods of quantum systems, and is a natural application space for quantum simulation. These quantum simulations are, however, not without their own challenges \textemdash~representing quantum critical states on a quantum computer requires encoding entanglement of a large number of degrees of freedom, placing strict demands on the coherence and fidelity of the computer's operations. Using Quantinuum's H1-1 quantum computer, we address these challenges by employing hierarchical quantum tensor-network techniques, creating the ground state of the critical transverse-field Ising chain on 128-sites with sufficient fidelity to extract accurate critical properties of the model. Our results suggest a viable path to quantum-assisted tensor network contraction beyond the limits of classical methods.
format Preprint
id arxiv_https___arxiv_org_abs_2305_01650
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Probing critical states of matter on a digital quantum computer
Haghshenas, Reza
Chertkov, Eli
DeCross, Matthew
Gatterman, Thomas M.
Gerber, Justin A.
Gilmore, Kevin
Gresh, Dan
Hewitt, Nathan
Horst, Chandler V.
Matheny, Mitchell
Mengle, Tanner
Neyenhuis, Brian
Hayes, David
Foss-Feig, Michael
Quantum Physics
Statistical Mechanics
Strongly Correlated Electrons
Although quantum mechanics underpins the microscopic behavior of all materials, its effects are often obscured at the macroscopic level by thermal fluctuations. A notable exception is a zero-temperature phase transition, where scaling laws emerge entirely due to quantum correlations over a diverging length scale. The accurate description of such transitions is challenging for classical simulation methods of quantum systems, and is a natural application space for quantum simulation. These quantum simulations are, however, not without their own challenges \textemdash~representing quantum critical states on a quantum computer requires encoding entanglement of a large number of degrees of freedom, placing strict demands on the coherence and fidelity of the computer's operations. Using Quantinuum's H1-1 quantum computer, we address these challenges by employing hierarchical quantum tensor-network techniques, creating the ground state of the critical transverse-field Ising chain on 128-sites with sufficient fidelity to extract accurate critical properties of the model. Our results suggest a viable path to quantum-assisted tensor network contraction beyond the limits of classical methods.
title Probing critical states of matter on a digital quantum computer
topic Quantum Physics
Statistical Mechanics
Strongly Correlated Electrons
url https://arxiv.org/abs/2305.01650