Holographic quantum simulation of entanglement renormalization circuits

Fuente: arXiv
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Main Authors: Anand, Sajant, Hauschild, Johannes, Zhang, Yuxuan, Potter, Andrew C., Zaletel, Michael P.
Format: Preprint
Published: 2022
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author Anand, Sajant
Hauschild, Johannes
Zhang, Yuxuan
Potter, Andrew C.
Zaletel, Michael P.
author_facet Anand, Sajant
Hauschild, Johannes
Zhang, Yuxuan
Potter, Andrew C.
Zaletel, Michael P.
contents While standard approaches to quantum simulation require a number of qubits proportional to the number of simulated particles, current noisy quantum computers are limited to tens of qubits. With the technique of holographic quantum simulation, a $D$-dimensional system can be simulated with a $D{\rm -}1$-dimensional subset of qubits, enabling the study of systems significantly larger than current quantum computers. Using circuits derived from the multiscale entanglement renormalization ansatz (MERA), we accurately prepare the ground state of an $L=32$ critical, non-integrable perturbed Ising model and measure long-range correlations on the 10 qubit Quantinuum trapped ion computer. We introduce generalized MERA (gMERA) networks that interpolate between MERA and matrix product state networks and demonstrate that gMERA can capture far longer correlations than a MERA with the same number of qubits, at the expense of greater circuit depth. Finally, we perform noisy simulations of these two network ansätze and find that the optimal choice of network depends on noise level, available qubits, and the state to be represented.
format Preprint
id arxiv_https___arxiv_org_abs_2203_00886
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Holographic quantum simulation of entanglement renormalization circuits
Anand, Sajant
Hauschild, Johannes
Zhang, Yuxuan
Potter, Andrew C.
Zaletel, Michael P.
Quantum Physics
Strongly Correlated Electrons
While standard approaches to quantum simulation require a number of qubits proportional to the number of simulated particles, current noisy quantum computers are limited to tens of qubits. With the technique of holographic quantum simulation, a $D$-dimensional system can be simulated with a $D{\rm -}1$-dimensional subset of qubits, enabling the study of systems significantly larger than current quantum computers. Using circuits derived from the multiscale entanglement renormalization ansatz (MERA), we accurately prepare the ground state of an $L=32$ critical, non-integrable perturbed Ising model and measure long-range correlations on the 10 qubit Quantinuum trapped ion computer. We introduce generalized MERA (gMERA) networks that interpolate between MERA and matrix product state networks and demonstrate that gMERA can capture far longer correlations than a MERA with the same number of qubits, at the expense of greater circuit depth. Finally, we perform noisy simulations of these two network ansätze and find that the optimal choice of network depends on noise level, available qubits, and the state to be represented.
title Holographic quantum simulation of entanglement renormalization circuits
topic Quantum Physics
Strongly Correlated Electrons
url https://arxiv.org/abs/2203.00886