Crosstalk Attacks and Defence in a Shared Quantum Computing Environment

Abstract Quantum computing has the potential to provide solutions to problems that are intractable on classical computers, but the accuracy of the current generation of quantum computers suffer from the impact of noise or errors such as leakage, crosstalk, dephasing, and amplitude damping among others. As the access to quantum computers is almost exclusively in a shared environment through cloud‐based services, it is possible that an adversary can exploit crosstalk noise to disrupt quantum computations on nearby qubits, even carefully designing quantum circuits to purposely lead to wrong answers. In this study, the extent and characteristics of crosstalk noise are studied through tomography conducted on IBM Quantum computers, leading to an enhanced crosstalk simulation model. These results indicate that crosstalk noise is a significant source of errors on IBM quantum hardware, making crosstalk based attack a viable threat to quantum computing in a shared environment. Based on the crosstalk simulator benchmarked against IBM hardware, the impact of crosstalk attacks and develop strategies are assessed for mitigating crosstalk effects. Through a systematic set of simulations, the effectiveness of three crosstalk attack mitigation strategies is assessed, namely circuit separation, qubit allocation optimization via reinforcement learning, and the use of spectator qubits, and show that they all overcome crosstalk attack risk with varying degrees of success and help to secure quantum computing in a shared platform.

Authors

Institutions

Publication Details

Journal
Advanced Quantum Technologies
Published
2025-08-03
DOI
https://doi.org/10.1002/qute.202500009
Citations
8
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
19.85

Funders

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

Crosstalk Attacks and Defence in a Shared Quantum Computing Environment

Muhammad Usman, M. E. Sevior, Behnam Tonekaboni, Benjamin Harper et al.
8 citations
Advanced Quantum Technologies
Quantum Computing Algorithms and Architecture
19.85
article

Crosstalk Attacks and Defence in a Shared Quantum Computing Environment

Muhammad Usman, M. E. Sevior, Behnam Tonekaboni, Benjamin Harper, Bahar Goldozian
article en
8 citations

Abstract

Abstract Quantum computing has the potential to provide solutions to problems that are intractable on classical computers, but the accuracy of the current generation of quantum computers suffer from the impact of noise or errors such as leakage, crosstalk, dephasing, and amplitude damping among others. As the access to quantum computers is almost exclusively in a shared environment through cloud‐based services, it is possible that an adversary can exploit crosstalk noise to disrupt quantum computations on nearby qubits, even carefully designing quantum circuits to purposely lead to wrong answers. In this study, the extent and characteristics of crosstalk noise are studied through tomography conducted on IBM Quantum computers, leading to an enhanced crosstalk simulation model. These results indicate that crosstalk noise is a significant source of errors on IBM quantum hardware, making crosstalk based attack a viable threat to quantum computing in a shared environment. Based on the crosstalk simulator benchmarked against IBM hardware, the impact of crosstalk attacks and develop strategies are assessed for mitigating crosstalk effects. Through a systematic set of simulations, the effectiveness of three crosstalk attack mitigation strategies is assessed, namely circuit separation, qubit allocation optimization via reinforcement learning, and the use of spectator qubits, and show that they all overcome crosstalk attack risk with varying degrees of success and help to secure quantum computing in a shared platform.

Advanced Quantum TechnologiesVol. 8(10)
The University of Melbourne (AU), CSIRO Manufacturing (AU), Data61 (AU)
Commonwealth Scientific and Industrial Research Organisation, University of Melbourne
Openalex Percentile: Top 1%
Quantum Computing Algorithms and Architecture
19.85
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.