Efficient tensor network simulation of IBM's largest quantum processors

Fuente: arXiv
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Autores principales: Patra, Siddhartha, Jahromi, Saeed S., Singh, Sukhbinder, Orus, Roman
Formato: Preprint
Publicado: 2023
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author Patra, Siddhartha
Jahromi, Saeed S.
Singh, Sukhbinder
Orus, Roman
author_facet Patra, Siddhartha
Jahromi, Saeed S.
Singh, Sukhbinder
Orus, Roman
contents We show how quantum-inspired 2d tensor networks can be used to efficiently and accurately simulate the largest quantum processors from IBM, namely Eagle (127 qubits), Osprey (433 qubits) and Condor (1121 qubits). We simulate the dynamics of a complex quantum many-body system -- specifically, the kicked Ising experiment considered recently by IBM in Nature 618, p. 500-505 (2023) -- using graph-based Projected Entangled Pair States (gPEPS), which was proposed by some of us in PRB 99, 195105 (2019). Our results show that simple tensor updates are already sufficient to achieve very large unprecedented accuracy with remarkably low computational resources for this model. Apart from simulating the original experiment for 127 qubits, we also extend our results to 433 and 1121 qubits, and for evolution times around 8 times longer, thus setting a benchmark for the newest IBM quantum machines. We also report accurate simulations for infinitely-many qubits. Our results show that gPEPS are a natural tool to efficiently simulate quantum computers with an underlying lattice-based qubit connectivity, such as all quantum processors based on superconducting qubits.
format Preprint
id arxiv_https___arxiv_org_abs_2309_15642
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Efficient tensor network simulation of IBM's largest quantum processors
Patra, Siddhartha
Jahromi, Saeed S.
Singh, Sukhbinder
Orus, Roman
Quantum Physics
Strongly Correlated Electrons
Computational Engineering, Finance, and Science
Machine Learning
We show how quantum-inspired 2d tensor networks can be used to efficiently and accurately simulate the largest quantum processors from IBM, namely Eagle (127 qubits), Osprey (433 qubits) and Condor (1121 qubits). We simulate the dynamics of a complex quantum many-body system -- specifically, the kicked Ising experiment considered recently by IBM in Nature 618, p. 500-505 (2023) -- using graph-based Projected Entangled Pair States (gPEPS), which was proposed by some of us in PRB 99, 195105 (2019). Our results show that simple tensor updates are already sufficient to achieve very large unprecedented accuracy with remarkably low computational resources for this model. Apart from simulating the original experiment for 127 qubits, we also extend our results to 433 and 1121 qubits, and for evolution times around 8 times longer, thus setting a benchmark for the newest IBM quantum machines. We also report accurate simulations for infinitely-many qubits. Our results show that gPEPS are a natural tool to efficiently simulate quantum computers with an underlying lattice-based qubit connectivity, such as all quantum processors based on superconducting qubits.
title Efficient tensor network simulation of IBM's largest quantum processors
topic Quantum Physics
Strongly Correlated Electrons
Computational Engineering, Finance, and Science
Machine Learning
url https://arxiv.org/abs/2309.15642