Efficient Circuit Wire Cutting Based on Commuting Groups

Current quantum devices face challenges when dealing with large circuits due to error rates as circuit size and the number of qubits increase. The circuit wire-cutting technique addresses this issue by breaking down a large circuit into smaller, more manageable subcircuits. However, the exponential increase in the number of subcircuits and the complexity of reconstruction as more cuts are made poses a great practical challenge. Inspired by ancilla-assisted quantum process tomography and the MUBs-based grouping technique for simultaneous measurement, we propose a new approach that can reduce subcircuit running overhead. The approach first uses ancillary qubits to transform all quantum input initializations into quantum output measurements. These output measurements are then organized into commuting groups for the purpose of simultaneous measurement, based on MUBs-based grouping. This approach significantly reduces the number of necessary subcircuits as well as the total number of shots. Lastly, we provide numerical experiments to demonstrate the complexity reduction.

Authors

Institutions

Publication Details

Published
2024-09-15
DOI
https://doi.org/10.1109/qce60285.2024.00023
Citations
4
Primary Topic
Assembly Line Balancing Optimization
Type
article
Field-Weighted Citation Impact
1.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficient Circuit Wire Cutting Based on Commuting Groups

Vipin Chaudhary, Daniel T. Chen, Shuai Xu, Vinooth Kulkarni et al.
4 citations
Assembly Line Balancing Optimization
1.40
article

Efficient Circuit Wire Cutting Based on Commuting Groups

Vipin Chaudhary, Daniel T. Chen, Shuai Xu, Vinooth Kulkarni, Ning Xie, Xinpeng Li, Qiang Guan, Weiwen Jiang
article en
4 citations

Abstract

Current quantum devices face challenges when dealing with large circuits due to error rates as circuit size and the number of qubits increase. The circuit wire-cutting technique addresses this issue by breaking down a large circuit into smaller, more manageable subcircuits. However, the exponential increase in the number of subcircuits and the complexity of reconstruction as more cuts are made poses a great practical challenge. Inspired by ancilla-assisted quantum process tomography and the MUBs-based grouping technique for simultaneous measurement, we propose a new approach that can reduce subcircuit running overhead. The approach first uses ancillary qubits to transform all quantum input initializations into quantum output measurements. These output measurements are then organized into commuting groups for the purpose of simultaneous measurement, based on MUBs-based grouping. This approach significantly reduces the number of necessary subcircuits as well as the total number of shots. Lastly, we provide numerical experiments to demonstrate the complexity reduction.

Kent State University (US), George Mason University (US), Florida International University (US), Brown University (US), Case Western Reserve University (US)
Affordable and clean energy
Openalex Percentile: Top 15%
Assembly Line Balancing Optimization
1.40
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 Circuit Wire Cutting Based on Commuting Groups — Vipin Chaudhary, Daniel T. Chen, et al. · (2024) | TGRS Research Map | TGRS