Quantum Process Tomography with Digital Twins of Error Matrices

Accurate and robust quantum process tomography (QPT) is crucial for verifying quantum gates and diagnosing implementation faults in experiments aimed at building universal quantum computers. However, the reliability of QPT protocols is often compromised by faulty probes, particularly state preparation and measurement (SPAM) errors, which introduce fundamental inconsistencies in traditional QPT algorithms. We propose and investigate enhanced QPT for multiqubit systems by integrating the error matrix in a digital twin of the identity process matrix, enabling statistical refinement of SPAM error learning and improving QPT precision. Through numerical simulations, we demonstrate that our approach enables highly accurate and faithful process characterization. We further validate our method experimentally in superconducting quantum processors, achieving at least an order-of-magnitude fidelity improvement over standard QPT. Our results provide a practical and precise method for assessing quantum gate fidelity and enhancing QPT on a given hardware.

Authors

Institutions

Publication Details

Journal
Physical Review Letters
Published
2025-11-13
DOI
https://doi.org/10.1103/dpgy-rtxr
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Quantum Process Tomography with Digital Twins of Error Matrices

Akshay Gaikwad, Ilya N. Moskalenko, Mamta Dahiya, Jonas Bylander et al.
Physical Review Letters
Quantum Computing Algorithms and Architecture
article

Quantum Process Tomography with Digital Twins of Error Matrices

Akshay Gaikwad, Ilya N. Moskalenko, Mamta Dahiya, Jonas Bylander, G. S. Paraoanu, Andreas Nylander, Irshad Ahmad, Tangyou Huang, Ognjen Stanisavljević, Janka Biznárová, Giovanna Tancredi, Anton Frisk Kockum, Tahereh Abad, Amr Osman, Marko Kuzmanović, Christopher Warren, Yu‐Han Chang, Marcus Rommel, Liangyu Chen, Anuj Aggarwal, Emil Hogedal, Anita Fadavi Rousari
article en

Abstract

Accurate and robust quantum process tomography (QPT) is crucial for verifying quantum gates and diagnosing implementation faults in experiments aimed at building universal quantum computers. However, the reliability of QPT protocols is often compromised by faulty probes, particularly state preparation and measurement (SPAM) errors, which introduce fundamental inconsistencies in traditional QPT algorithms. We propose and investigate enhanced QPT for multiqubit systems by integrating the error matrix in a digital twin of the identity process matrix, enabling statistical refinement of SPAM error learning and improving QPT precision. Through numerical simulations, we demonstrate that our approach enables highly accurate and faithful process characterization. We further validate our method experimentally in superconducting quantum processors, achieving at least an order-of-magnitude fidelity improvement over standard QPT. Our results provide a practical and precise method for assessing quantum gate fidelity and enhancing QPT on a given hardware.

Physical Review LettersVol. 135(23)
Chalmers University of Technology (SE), Aalto University (FI)
Stiftelsen för Strategisk Forskning, Aalto-Yliopisto, Wallenberg Center for Quantum Technology, Chalmers University of Technology
Openalex Percentile: Top 80%
Quantum Computing Algorithms and Architecture
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.