Efficient quantum state estimation with low-rank matrix completion

This paper introduces a novel and efficient technique for quantum state estimation, coined as low-rank matrix-completion quantum state tomography for characterizing pure quantum states, as it requires only non-entangling bases and $2n + 1$ local Pauli operators. This significantly reduces the complexity of the process and increases the accuracy of the state estimation, as it eliminates the need for the entangling bases, which are experimentally difficult to implement on quantum devices. The required minimal post-processing, improved accuracy and efficacy of this matrix-completion-based method make it an ideal benchmarking tool for investigating the properties of quantum systems, enabling researchers to verify the accuracy of quantum devices, characterize their performance, and explore the underlying physics of quantum phenomena. Our numerical results demonstrate that this method outperforms contemporary techniques in its ability to accurately reconstruct multi-qubit quantum states on real quantum devices, making it an invaluable contribution to the field of quantum state characterization and an essential step toward the reliable deployment of intermediate- and large-scale quantum devices.

Authors

Institutions

Publication Details

Journal
EPJ Quantum Technology
Published
2024-08-05
DOI
https://doi.org/10.1140/epjqt/s40507-024-00261-x
Citations
3
Primary Topic
Quantum Information and Cryptography
Type
article
Field-Weighted Citation Impact
1.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficient quantum state estimation with low-rank matrix completion

Hyundong Shin, Shehbaz Tariq, Trung Q. Duong, Junaid ur Rehman et al.
3 citations
EPJ Quantum Technology
Quantum Information and Cryptography
1.04
article

Efficient quantum state estimation with low-rank matrix completion

Hyundong Shin, Shehbaz Tariq, Trung Q. Duong, Junaid ur Rehman, Ahmad Farooq
article en
3 citations

Abstract

This paper introduces a novel and efficient technique for quantum state estimation, coined as low-rank matrix-completion quantum state tomography for characterizing pure quantum states, as it requires only non-entangling bases and $2n + 1$ local Pauli operators. This significantly reduces the complexity of the process and increases the accuracy of the state estimation, as it eliminates the need for the entangling bases, which are experimentally difficult to implement on quantum devices. The required minimal post-processing, improved accuracy and efficacy of this matrix-completion-based method make it an ideal benchmarking tool for investigating the properties of quantum systems, enabling researchers to verify the accuracy of quantum devices, characterize their performance, and explore the underlying physics of quantum phenomena. Our numerical results demonstrate that this method outperforms contemporary techniques in its ability to accurately reconstruct multi-qubit quantum states on real quantum devices, making it an invaluable contribution to the field of quantum state characterization and an essential step toward the reliable deployment of intermediate- and large-scale quantum devices.

EPJ Quantum TechnologyVol. 11(1)
Memorial University of Newfoundland (CA), University of Luxembourg (LU), Kyung Hee University (KR), Aalto University (FI)
National Research Foundation, National Research Foundation of Korea, Iran Telecommunication Research Center, Ministry of Science and ICT, South Korea, Institute for Information and Communications Technology Promotion
Openalex Percentile: Top 20%
Quantum Information and Cryptography
1.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Efficient quantum state estimation with low-rank matrix completion — Hyundong Shin, Shehbaz Tariq, et al. · EPJ Quantum Technology (2024) | TGRS Research Map | TGRS