REVIEW 1 major objections 191 references
A Survey on Security with Quantum Computing
T0 review · 1 major / 0 minor · reviewed 2026-06-30 · grok-4.3
Pith's one-line read Quantum computing creates both new security threats to classical systems and new defensive tools, as mapped in this survey.
desk verdict A survey on quantum security that organizes known material but whose strength depends on unshown literature selection. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The tripartite division into security issues inside quantum computers, threats quantum computers create for classical systems, and security mechanisms built for or with quantum systems, which structures the review of vulnerabilities, impacts, and solutions.
What would settle it
Discovery of a major recent advance in quantum hardware vulnerabilities, a widely used post-quantum scheme, or an application in cybersecurity that the survey omits and that changes the overall structure of challenges and mitigations presented.
Extended reading notes
Core claim
By examining security issues in quantum computers, security threats caused by quantum computers, and security mechanisms developed for quantum systems, the survey reviews hardware and software vulnerabilities, the impact of quantum computing on cryptographic infrastructures, post-quantum cryptography, quantum-safe communication protocols, quantum intrusion detection systems, quantum-aware software engineering, applications in malware and network detection plus IoT security, and quantum error mitigation and fault-tolerance methods, thereby supplying a structured overview that serves as a reference for secure and quantum-ready infrastructures.
Load-bearing premise
The papers and topics chosen for review give a complete and unbiased picture of the current state of quantum security research.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript is a survey on the intersection of quantum computing and cybersecurity. It reviews security challenges in quantum hardware and software, threats that quantum computers pose to classical cryptographic systems, and mitigation approaches including post-quantum cryptography, quantum-safe protocols, quantum intrusion detection, IoT security applications, and quantum error mitigation/fault tolerance techniques. The paper consolidates recent advances, open challenges, and future directions with the goal of serving as a reference for researchers and practitioners building quantum-resilient infrastructures.
Significance. If the literature selection proves representative, the survey could provide a useful structured overview of an emerging interdisciplinary area. Its potential value lies in mapping hardware vulnerabilities, post-quantum defenses, and quantum-enhanced security tools into one document; however, the absence of explicit selection criteria or coverage metrics limits its immediate utility as a definitive reference.
major comments (1)
- [Abstract] Abstract: the central claim that the survey 'consolidates recent advances' and 'serves as a reference' rests on an unstated assumption of comprehensive, unbiased literature coverage. No inclusion/exclusion criteria, search methodology, or quantitative coverage statistics (e.g., number of papers per sub-topic) are supplied, which directly undermines the assertion of representativeness across hardware threats, post-quantum crypto, IoT, and error mitigation.
Simulated Author's Rebuttal
We thank the referee for their constructive feedback highlighting the need for greater transparency in our literature selection process. We agree this is a valid point that can be addressed through revision and will strengthen the manuscript's value as a reference.
read point-by-point responses
-
Referee: [Abstract] Abstract: the central claim that the survey 'consolidates recent advances' and 'serves as a reference' rests on an unstated assumption of comprehensive, unbiased literature coverage. No inclusion/exclusion criteria, search methodology, or quantitative coverage statistics (e.g., number of papers per sub-topic) are supplied, which directly undermines the assertion of representativeness across hardware threats, post-quantum crypto, IoT, and error mitigation.
Authors: We acknowledge that the abstract's claims would be better supported by explicit methodology details, which are currently absent from the manuscript. While the survey draws from key literature in the field identified through standard academic searches, no formal selection criteria or statistics were documented. In the revised version, we will insert a new 'Survey Methodology' subsection (likely in Section 1 or as an appendix) that specifies: search databases (IEEE Xplore, ACM DL, arXiv, Google Scholar), keywords and time range (2015–2024), inclusion criteria (peer-reviewed works on quantum hardware/software security, post-quantum cryptography, quantum-enhanced security tools, and error mitigation), exclusion criteria (non-English papers, purely theoretical works without security focus), and approximate coverage (e.g., ~X papers on hardware threats, ~Y on PQC). This addition will directly address the concern about representativeness without altering the survey's scope or conclusions. revision: yes
Circularity Check
No circularity: literature survey with no derivations or fitted predictions
full rationale
This is a survey paper whose central claim is that it consolidates recent advances from the literature into a structured overview. No equations, predictions, fitted parameters, or derivation chains appear in the abstract or described content. The patterns of self-definitional claims, fitted inputs renamed as predictions, self-citation load-bearing uniqueness theorems, or ansatz smuggling are absent because the work performs no original derivation that could reduce to its own inputs. The selection of reviewed topics is an editorial choice whose representativeness is an external validity question, not a circular reduction within any claimed derivation. Therefore the paper is self-contained against the circularity criteria and receives score 0.
Assumptions & free parameters
Cite this review
Pith. "Pith review of A Survey on Security with Quantum Computing." pith.science (2026). https://pith.science/paper/I4OLEBES
@misc{pith2026260600058,
author = {Pith},
title = {Pith review of: A Survey on Security with Quantum Computing},
year = {2026},
howpublished = {\url{https://pith.science/paper/I4OLEBES}},
note = {Machine review of arXiv:2606.00058}
}
read the original abstract
Quantum computing has emerged as a transformative computing paradigm capable of solving problems that remain computationally infeasible for classical systems; however, its rapid advancement also introduces significant security, privacy, and reliability concerns. In this context, this survey presents a comprehensive review of security challenges and mitigation strategies associated with quantum computing, focusing on security issues in quantum computers, security threats caused by quantum computers, and security mechanisms developed for quantum systems. The paper examines vulnerabilities in quantum hardware and software, the impact of quantum computing on existing cryptographic infrastructures and cybersecurity mechanisms, and the development of quantum-resilient solutions such as post-quantum cryptography, quantum-safe communication protocols, quantum intrusion detection systems, and quantum-aware software engineering techniques. In addition, the survey discusses emerging applications of quantum technologies in cybersecurity domains, including malware detection, network intrusion detection, Internet of Things (IoT) security, and secure communication systems. Furthermore, the paper analyzes existing quantum error mitigation and fault-tolerance approaches designed to improve the robustness and trustworthiness of quantum computation under realistic noisy conditions. By consolidating recent advances, open research challenges, and future directions, this survey provides a structured overview of the evolving intersection between quantum computing and cybersecurity, while serving as a reference for researchers and practitioners working toward secure, resilient, and quantum-ready computing infrastructures.
Figures
Reference graph
Works this paper leans on
-
[1]
M. Steffen et al., Quantum computing: An ibm perspec- tive, IBM Journal of Research and Development 55 (5) (2011) 13–1
work page 2011
-
[2]
Courtland, Google aims for quantum computing supremacy [news], IEEE Spectrum 54 (6) (2017) 9–10
R. Courtland, Google aims for quantum computing supremacy [news], IEEE Spectrum 54 (6) (2017) 9–10
work page 2017
-
[3]
M. Aghaee et al., Interferometric single-shot parity mea- surement in InAs-Al hybrid devices, Nature 638 (8051) (2025) 651–655, epub 2025 Feb 19
work page 2025
-
[4]
B. Harper et al., Crosstalk attacks and defence in a shared quantum computing environment, in: arXiv preprint arXiv:2402.02735, 2024, accessed: 2025-06-02
-
[5]
L. Xie et al., Suppressing zz crosstalk of quantum com- puters through pulse and scheduling co-optimization, in: Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS ’22, Association for Computing Machinery, New York, NY , USA, 2022, p. 499–513
work page 2022
-
[6]
Mitigation of Crosstalk Errors in Quantum Measurements
S. Seo et al., Mitigation of crosstalk errors in a quantum measurement and its applications (Dec. 2021). arXiv: 2112.10651
work page Pith review arXiv 2021
-
[7]
S. Heng et al., Estimating the effect of crosstalk error on circuit fidelity using noisy intermediate-scale quantum devices (2024).arXiv:2402.06952
-
[8]
A. Ash-Saki et al., Analysis of crosstalk in nisq devices and security implications in multi-programming regime, in: Proceedings of the ACM/IEEE International Sympo- sium on Low Power Electronics and Design, ISLPED ’20, Association for Computing Machinery, New York, NY , USA, 2020, p. 25–30
work page 2020
Show all 191 references
-
[9]
S. Bajpayee et al., Analysis of the effects of crosstalk errors on various quantum circuits, in: 2024 37th Inter- national Conference on VLSI Design and 2024 23rd In- ternational Conference on Embedded Systems (VLSID), 2024, pp. 408–413
2024
-
[10]
H. Perrin et al., Mitigating crosstalk errors by randomized compiling: Simulation of the bcs model on a supercon- ducting quantum computer, Physical Review Research 6 (1) (2024) 013142
2024
-
[11]
Kosen et al., Signal crosstalk in a flip-chip quantum processor, PRX Quantum 5 (3) (2024) 030350
S. Kosen et al., Signal crosstalk in a flip-chip quantum processor, PRX Quantum 5 (3) (2024) 030350
2024
-
[12]
Feng et al., Realization of a crosstalk-avoided quantum network node using dual-type qubits of the same ion species, Nature Communications 15 (1) (2024) 204
L. Feng et al., Realization of a crosstalk-avoided quantum network node using dual-type qubits of the same ion species, Nature Communications 15 (1) (2024) 204
2024
-
[13]
C. Xu et al., Securing nisq quantum computer reset opera- tions against higher energy state attacks, in: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, CCS ’23, Association for Computing Machinery, New York, NY , USA, 2023, p. 594–607
2023
-
[14]
C. Xu et al., A thorough study of state leakage mitigation in quantum computing with one-time pad, in: 2024 IEEE International Symposium on Hardware Oriented Security and Trust (HOST), 2024, pp. 55–65
2024
-
[15]
F. Erata et al., Quantum circuit reconstruction from power side-channel attacks on quantum computer controllers, IACR Transactions on Cryptographic Hardware and Em- bedded Systems 2024 (2) (2024) 735–768
2024
-
[16]
Xu et al., Exploration of quantum computer power side-channels (Apr
C. Xu et al., Exploration of quantum computer power side-channels (Apr. 2023).arXiv:2304.03315
2023
-
[18]
A. A. Saki et al., Split compilation for security of quantum circuits, in: 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2021, pp. 1–7
2021
-
[19]
Mavroeidis et al., The impact of quantum computing on present cryptography, International Journal of Advanced Computer Science and Applications 9 (3) (2018)
V . Mavroeidis et al., The impact of quantum computing on present cryptography, International Journal of Advanced Computer Science and Applications 9 (3) (2018)
2018
-
[20]
N. Suryotrisongko et al., The quantum computer and the security of information systems, in: 2021 International Conference on Recent Advances in Mathematics and In- formatics (ICRAMI), 2021, pp. 1–9. 20
2021
-
[21]
B. Arslan et al., A study on the use of quantum computers, risk assessment and security problems, in: 2018 6th In- ternational Symposium on Digital Forensic and Security (ISDFS), 2018, pp. 1–6
2018
-
[23]
Raheman, The future of cybersecurity in the age of quantum computers, Future Internet 14 (11) (2022)
F. Raheman, The future of cybersecurity in the age of quantum computers, Future Internet 14 (11) (2022)
2022
-
[24]
Chen et al., Report on post-quantum cryptography, Tech
L. Chen et al., Report on post-quantum cryptography, Tech. Rep. NISTIR 8105, National Institute of Standards and Technology (NIST) (April 2016)
2016
-
[25]
Boneh et al., Secure signatures and chosen ciphertext security in a quantum computing world, in: R
D. Boneh et al., Secure signatures and chosen ciphertext security in a quantum computing world, in: R. Canetti et al. (Eds.), Advances in Cryptology – CRYPTO 2013, Springer Berlin Heidelberg, Berlin, Heidelberg, 2013, pp. 361–379
2013
-
[26]
Chen et al., Nisq quantum computing: A security- centric tutorial and survey [feature], IEEE Circuits and Systems Magazine 24 (1) (2024) 14–32
F. Chen et al., Nisq quantum computing: A security- centric tutorial and survey [feature], IEEE Circuits and Systems Magazine 24 (1) (2024) 14–32
2024
-
[27]
T. M. Fernández-Caramés, From pre-quantum to post- quantum iot security: A survey on quantum-resistant cryptosystems for the internet of things, IEEE Internet of Things Journal 7 (7) (2020) 6457–6480
2020
-
[28]
Gharavi et al., Post-quantum blockchain security for the internet of things: Survey and research directions, IEEE Communications Surveys & Tutorials 26 (3) (2024) 1748–1774
H. Gharavi et al., Post-quantum blockchain security for the internet of things: Survey and research directions, IEEE Communications Surveys & Tutorials 26 (3) (2024) 1748–1774
2024
-
[29]
H. Shekhawat et al., A survey on lattice-based security and authentication schemes for smart-grid networks in the post-quantum era, Concurrency and Computation: Practice and Experience 36 (14) (2024) e8080
2024
-
[30]
S. E. Bootsma et al., A survey on the quantum security of block cipher-based cryptography, IEEE Access 12 (2024) 194711–194727
2024
-
[31]
Glisic, Quantum vs post-quantum security for future networks: Survey, Cyber Security and Applications 2 (2024) 100039
S. Glisic, Quantum vs post-quantum security for future networks: Survey, Cyber Security and Applications 2 (2024) 100039
2024
-
[32]
Wicaksana, A survey on quantum-safe blockchain se- curity infrastructure, Computer Science Review 57 (2025) 100752
A. Wicaksana, A survey on quantum-safe blockchain se- curity infrastructure, Computer Science Review 57 (2025) 100752
2025
-
[33]
Coupel et al., Security vulnerabilities in quantum cloud systems: A survey on emerging threats (2025)
J. Coupel et al., Security vulnerabilities in quantum cloud systems: A survey on emerging threats (2025). arXiv: 2504.19064
2025
-
[34]
Karakaya et al., A survey on post-quantum based ap- proaches for edge computing security, WIREs Computa- tional Statistics 16 (1) (2024) e1644
A. Karakaya et al., A survey on post-quantum based ap- proaches for edge computing security, WIREs Computa- tional Statistics 16 (1) (2024) e1644
2024
-
[35]
Nguyen et al., Security in post-quantum era: A compre- hensive survey on lattice-based algorithms, IEEE Access 13 (2025) 89003–89024
H. Nguyen et al., Security in post-quantum era: A compre- hensive survey on lattice-based algorithms, IEEE Access 13 (2025) 89003–89024
2025
-
[36]
Stewart et al., Committing to quantum resistance: a slow defence for bitcoin against a fast quantum computing attack, Royal Society Open Science 5 (2018) 180410
I. Stewart et al., Committing to quantum resistance: a slow defence for bitcoin against a fast quantum computing attack, Royal Society Open Science 5 (2018) 180410
2018
-
[37]
A. S. Naik et al., From portfolio optimization to quantum blockchain and security: A systematic review of quantum computing in finance (2025)
2025
-
[38]
Shen et al., An efficient quantum-inspired comput- ing approach for intrusion detection system, in: 2024 IEEE 24th International Conference on Nanotechnology (NANO), IEEE, 2024, pp
J.-Y . Shen et al., An efficient quantum-inspired comput- ing approach for intrusion detection system, in: 2024 IEEE 24th International Conference on Nanotechnology (NANO), IEEE, 2024, pp. 306–310
2024
-
[39]
Abreu et al., Qml-ids: Quantum machine learning intrusion detection system, in: 2024 IEEE Symposium on Computers and Communications (ISCC), IEEE, 2024, pp
D. Abreu et al., Qml-ids: Quantum machine learning intrusion detection system, in: 2024 IEEE Symposium on Computers and Communications (ISCC), IEEE, 2024, pp. 1–6
2024
-
[40]
O. S. Soliman et al., A network intrusions detection sys- tem based on a quantum bio inspired algorithm, arXiv preprint arXiv:1405.1404 (2014)
2014 arXiv
-
[41]
Schöffel et al., Secure iot in the era of quantum computers—where are the bottlenecks?, Sensors 22 (7) (2022)
M. Schöffel et al., Secure iot in the era of quantum computers—where are the bottlenecks?, Sensors 22 (7) (2022)
2022
-
[42]
S. Issel et al., Towards classical software verification using quantum computers, in: 2025 International Con- ference on Quantum Communications, Networking, and Computing (QCNC), 2025, pp. 598–605
2025
-
[43]
A. P. Umejiaku et al., Rosecliffalgorithm: Making pass- words dynamic, Applied Sciences 14 (2) (2024)
2024
-
[44]
V olya et al., Towards secure classical-quantum sys- tems, in: 2023 IEEE International Symposium on Hard- ware Oriented Security and Trust (HOST), 2023, pp
D. V olya et al., Towards secure classical-quantum sys- tems, in: 2023 IEEE International Symposium on Hard- ware Oriented Security and Trust (HOST), 2023, pp. 283– 292
2023
-
[45]
Rieffel et al., An introduction to quantum computing for non-physicists, ACM Comput
E. Rieffel et al., An introduction to quantum computing for non-physicists, ACM Comput. Surv. 32 (3) (2000) 300–335
2000
-
[46]
Yung, Quantum supremacy: some fundamental concepts, National Science Review 6 (1) (2018) 22–23
M.-H. Yung, Quantum supremacy: some fundamental concepts, National Science Review 6 (1) (2018) 22–23
2018
-
[47]
Horodecki et al., Quantum entanglement, Rev
R. Horodecki et al., Quantum entanglement, Rev. Mod. Phys. 81 (2009) 865–942
2009
-
[48]
˙Zyczkowski et al., Dynamics of quantum entangle- ment, Phys
K. ˙Zyczkowski et al., Dynamics of quantum entangle- ment, Phys. Rev. A 65 (2001) 012101
2001
-
[49]
Mosca, Quantum Algorithms, Springer New York, New York, NY , 2009, pp
M. Mosca, Quantum Algorithms, Springer New York, New York, NY , 2009, pp. 7088–7118
2009
-
[50]
Xu et al., Classification of quantum computer fault injection attacks (2023).arXiv:2309.05478
C. Xu et al., Classification of quantum computer fault injection attacks (2023).arXiv:2309.05478. 21
2023
-
[51]
J. D. Guimarães et al., Towards a layered architecture for error mitigation in quantum computation, in: 2022 IEEE International Conference on Quantum Software (QSW), 2022, pp. 41–51
2022
-
[52]
T. Giurgica-Tiron et al., Digital zero noise extrapolation for quantum error mitigation, in: 2020 IEEE interna- tional conference on quantum computing and engineering (QCE), IEEE, 2020, pp. 306–316
2020
-
[53]
He et al., Zero-noise extrapolation for quantum-gate error mitigation with identity insertions, Physical Review A 102 (1) (2020) 012426
A. He et al., Zero-noise extrapolation for quantum-gate error mitigation with identity insertions, Physical Review A 102 (1) (2020) 012426
2020
-
[54]
P. P. Hofer, Quasi-probability distributions for observ- ables in dynamic systems, Quantum 1 (2017) 32
2017
-
[55]
Ferrie, Quasi-probability representations of quantum theory with applications to quantum information science, Reports on Progress in Physics 74 (11) (2011) 116001
C. Ferrie, Quasi-probability representations of quantum theory with applications to quantum information science, Reports on Progress in Physics 74 (11) (2011) 116001
2011
-
[56]
Zhang et al., Demonstrating quantum er- ror mitigation on logical qubits, arXiv preprint arXiv:2401.09079Accessed May 2025 (2025)
A. Zhang et al., Demonstrating quantum er- ror mitigation on logical qubits, arXiv preprint arXiv:2401.09079Accessed May 2025 (2025)
2025
-
[57]
Muqeet et al., Quiet: A tool for sampling-based quan- tum noise error mitigation, IEEE SoftwareSpecial Issue on Quantum Software and its Engineering (2024)
A. Muqeet et al., Quiet: A tool for sampling-based quan- tum noise error mitigation, IEEE SoftwareSpecial Issue on Quantum Software and its Engineering (2024)
2024
-
[58]
Liao et al., Noise-agnostic quantum error mitigation with data augmented neural models (Apr
M. Liao et al., Noise-agnostic quantum error mitigation with data augmented neural models (Apr. 2025). arXiv: 2311.01727
2025
-
[59]
T. B. Adeniyi et al., Adaptive neural network for quan- tum error mitigation, Quantum Machine Intelligence. 7 (2025) 01–14, received: 28 March 2024/Accepted: 28 December 2024
2025
-
[60]
Kwon et al., A hybrid quantum-classical approach to mitigating measurement errors in quantum algo- rithms, IEEE Transactions on Computers 70 (9) (2021) 1401–1411
H. Kwon et al., A hybrid quantum-classical approach to mitigating measurement errors in quantum algo- rithms, IEEE Transactions on Computers 70 (9) (2021) 1401–1411
2021
-
[61]
G. Ciaramella et al., Introducing quantum computing in mobile malware detection, in: Proceedings of the 17th International Conference on Availability, Reliability and Security, ARES ’22, Association for Computing Machin- ery, New York, NY , USA, 2022
2022
-
[62]
M. J. Biercuk et al., Optimized dynamical decoupling in a model quantum memory, Nature 458 (7241) (2009) 996–1000
2009
-
[63]
S. Upadhyay et al., Share: Secure hardware allocation and resource efficiency in quantum systems, in: 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), V ol. 1, IEEE, 2024, pp. 1109–1119
2024
-
[64]
Hashim et al., Randomized compiling for scalable quantum computing on a noisy superconducting quantum processor, arXiv preprint arXiv:2010.00215 (2020)
A. Hashim et al., Randomized compiling for scalable quantum computing on a noisy superconducting quantum processor, arXiv preprint arXiv:2010.00215 (2020)
2010
-
[65]
Bonet-Monroig et al., Low-cost error mitigation by symmetry verification, Physical Review A 98 (6) (2018) 062339
X. Bonet-Monroig et al., Low-cost error mitigation by symmetry verification, Physical Review A 98 (6) (2018) 062339
2018
-
[66]
Bravyi et al., Mitigating measurement errors in mul- tiqubit experiments, Physical Review A 103 (4) (2021) 042605
S. Bravyi et al., Mitigating measurement errors in mul- tiqubit experiments, Physical Review A 103 (4) (2021) 042605
2021
-
[67]
Funcke et al., Measurement error mitigation in quan- tum computers through classical bit-flip correction, Phys- ical Review A 105 (6) (2022) 062404
L. Funcke et al., Measurement error mitigation in quan- tum computers through classical bit-flip correction, Phys- ical Review A 105 (6) (2022) 062404
2022
-
[68]
Janardan et al., Analytical error analysis of clifford gates by the fault-path tracer method, Quantum Informa- tion Processing 15 (8) (2016) 3065–3079
S. Janardan et al., Analytical error analysis of clifford gates by the fault-path tracer method, Quantum Informa- tion Processing 15 (8) (2016) 3065–3079
2016
-
[69]
Ponsi et al., Mitigation of model error effects in neural network-based structural damage detection, Frontiers in Built Environment 8 (2023) 1109995
F. Ponsi et al., Mitigation of model error effects in neural network-based structural damage detection, Frontiers in Built Environment 8 (2023) 1109995
2023
-
[70]
C.-I. Popîrlan et al., Hybrid quantum-classical networks characteristics and optimization for error correction and noise mitigation, in: 2023 22nd RoEduNet Conference: Networking in Education and Research (RoEduNet), IEEE, 2023, pp. 1–7
2023
-
[71]
G. A. Paz-Silva et al., Optimally combining dynamical de- coupling and quantum error correction, Scientific reports 3 (1) (2013) 1530
2013
-
[72]
Khadirsharbiyani et al., Minimizing coherence errors via dynamic decoupling, in: Proceedings of the 38th ACM International Conference on Supercomputing, 2024, pp
S. Khadirsharbiyani et al., Minimizing coherence errors via dynamic decoupling, in: Proceedings of the 38th ACM International Conference on Supercomputing, 2024, pp. 164–175
2024
-
[73]
Goertzel, Efficient quantum-safe homomorphic en- cryption for quantum computer programs, arXiv preprint arXiv:2504.21235 (apr 2025)
B. Goertzel, Efficient quantum-safe homomorphic en- cryption for quantum computer programs, arXiv preprint arXiv:2504.21235 (apr 2025)
2025
-
[74]
Upadhyay et al., Quantum quandaries: Unraveling en- coding vulnerabilities in quantum neural networks, arXiv preprint arXiv:2502.01486 (Feb 2025)
S. Upadhyay et al., Quantum quandaries: Unraveling en- coding vulnerabilities in quantum neural networks, arXiv preprint arXiv:2502.01486 (Feb 2025)
2025
-
[75]
J. John et al., Quantum trojan insertion: Controlled ac- tivation for covert circuit manipulation, arXiv preprint arXiv:2502.08880Department of Electrical Engineering, University of California, Merced (2025)
2025
-
[76]
S. Das et al., Impact of error rate misreporting on re- source allocation in multi-tenant quantum computing and defense, arXiv preprint arXiv:2504.04285The Pennsylva- nia State University, State College, Pennsylvania, USA (2025)
2025
-
[77]
Kumar et al., Context switching for secure multi- programming of near-term quantum computers, arXiv preprint arXiv:2504.07048 (Apr 2025)
A. Kumar et al., Context switching for secure multi- programming of near-term quantum computers, arXiv preprint arXiv:2504.07048 (Apr 2025)
2025
-
[78]
Rehman et al., Opaque: Obfuscating phase in quan- tum circuit compilation for efficient ip protection, arXiv preprint arXiv:2502.16065 (2025)
A. Rehman et al., Opaque: Obfuscating phase in quan- tum circuit compilation for efficient ip protection, arXiv preprint arXiv:2502.16065 (2025). 22
2025
-
[79]
Bartake et al., Obfusqate: Unveiling the first quan- tum program obfuscation framework, arXiv preprint arXiv:2503.23785 (2025)
N. Bartake et al., Obfusqate: Unveiling the first quan- tum program obfuscation framework, arXiv preprint arXiv:2503.23785 (2025)
2025
-
[80]
Blakeley et al., Toward a quantum information system cybersecurity taxonomy and testbed: Exploiting a unique opportunity for early impact (Apr
B. Blakeley et al., Toward a quantum information system cybersecurity taxonomy and testbed: Exploiting a unique opportunity for early impact (Apr. 2024). arXiv:2404. 12465
2024
-
[81]
Das et al., Secure quantum circuit compilation method- ology for untrusted compilers, PreprintResearch Square (2024)
S. Das et al., Secure quantum circuit compilation method- ology for untrusted compilers, PreprintResearch Square (2024)
2024
-
[82]
Kundu et al., Stiq: Safeguarding training and inferenc- ing of quantum neural networks from untrusted cloud, arXiv preprint arXiv:2405.18746v2 (nov 2024)
S. Kundu et al., Stiq: Safeguarding training and inferenc- ing of quantum neural networks from untrusted cloud, arXiv preprint arXiv:2405.18746v2 (nov 2024)
2024
-
[83]
Upadhyay et al., Trustworthy and reliable computing using untrusted and unreliable quantum hardware, Fron- tiers in Computer Science V olume 6 - 2024 (2024)
S. Upadhyay et al., Trustworthy and reliable computing using untrusted and unreliable quantum hardware, Fron- tiers in Computer Science V olume 6 - 2024 (2024)
2024
-
[84]
Wang et al., Tetrislock: Quantum circuit split compilation with interlocking patterns, arXiv preprint arXiv:2503.11897v1 (2025)
Q. Wang et al., Tetrislock: Quantum circuit split compilation with interlocking patterns, arXiv preprint arXiv:2503.11897v1 (2025)
2025
-
[85]
Upadhyay et al., Quantum data breach: Reusing train- ing dataset by untrusted quantum clouds, arXiv preprint arXiv:2407.14687 (2024)
S. Upadhyay et al., Quantum data breach: Reusing train- ing dataset by untrusted quantum clouds, arXiv preprint arXiv:2407.14687 (2024)
2024
-
[86]
Zhou et al., Quantum crosstalk robust quantum control, Phys
Z. Zhou et al., Quantum crosstalk robust quantum control, Phys. Rev. Lett. 131 (2023) 210802
2023
-
[88]
Ash-Saki et al., Experimental characterization, mod- eling, and analysis of crosstalk in a quantum computer, IEEE Transactions on Quantum Engineering 1 (2020) 1–6
A. Ash-Saki et al., Experimental characterization, mod- eling, and analysis of crosstalk in a quantum computer, IEEE Transactions on Quantum Engineering 1 (2020) 1–6
2020
-
[89]
Blume-Kohout et al., Idle tomography: Efficient gate characterization for N-qubit processors, in: APS March Meeting Abstracts, V ol
R. Blume-Kohout et al., Idle tomography: Efficient gate characterization for N-qubit processors, in: APS March Meeting Abstracts, V ol. 2019 of APS Meeting Abstracts, 2019, p. P35.006
2019
-
[90]
Sapatnekar, Capturing the effect of crosstalk on delay, in: VLSI Design 2000
S. Sapatnekar, Capturing the effect of crosstalk on delay, in: VLSI Design 2000. Wireless and Digital Imaging in the Millennium. Proceedings of 13th International Con- ference on VLSI Design, 2000, pp. 364–369
2000
-
[91]
Zhao et al., Quantum crosstalk analysis for simulta- neous gate operations on superconducting qubits, PRX Quantum 3 (2022) 020301
P. Zhao et al., Quantum crosstalk analysis for simulta- neous gate operations on superconducting qubits, PRX Quantum 3 (2022) 020301
2022
-
[92]
Marquer et al., A piece of qaiccc: Towards a coun- termeasure against crosstalk attacks in quantum servers, arXiv preprint arXiv:2504.10931Submitted on 14 Apr 2025 (2025)
Y . Marquer et al., A piece of qaiccc: Towards a coun- termeasure against crosstalk attacks in quantum servers, arXiv preprint arXiv:2504.10931Submitted on 14 Apr 2025 (2025)
2025
-
[93]
Jirovec et al., Exchange cross-talk mitiga- tion in dense quantum dot arrays, arXiv preprint arXiv:2503.23846Submitted on 31 Mar 2025 (2025)
D. Jirovec et al., Exchange cross-talk mitiga- tion in dense quantum dot arrays, arXiv preprint arXiv:2503.23846Submitted on 31 Mar 2025 (2025)
2025
-
[95]
Zhong et al., Cycle-aware zz crosstalk mitigation on quantum hardware, arXiv preprint arXiv:2503.13204 (mar 2025)
J. Zhong et al., Cycle-aware zz crosstalk mitigation on quantum hardware, arXiv preprint arXiv:2503.13204 (mar 2025)
2025
-
[96]
Liu et al., Performance analysis for crosstalk errors between parallel entangling gates in trapped ion quantum error correction, arXiv preprint arXiv:2501.09554 (jan 2025)
F. Liu et al., Performance analysis for crosstalk errors between parallel entangling gates in trapped ion quantum error correction, arXiv preprint arXiv:2501.09554 (jan 2025)
2025
-
[97]
Kang et al., Time-adaptive single-shot crosstalk detec- tor on superconducting quantum computer, arXiv preprint arXiv:2502.14225 (feb 2025)
H. Kang et al., Time-adaptive single-shot crosstalk detec- tor on superconducting quantum computer, arXiv preprint arXiv:2502.14225 (feb 2025)
2025
-
[98]
Taravati, Space-time-coupled qubits for enhanced superconducting quantum computing, arXiv preprint arXiv:2501.16872 (jan 2025)
S. Taravati, Space-time-coupled qubits for enhanced superconducting quantum computing, arXiv preprint arXiv:2501.16872 (jan 2025)
2025
-
[99]
Phalak et al., Quantum puf for security and trust in quantum computing, IEEE Journal on Emerging and Se- lected Topics in Circuits and Systems 11 (2) (2021) 333– 342
K. Phalak et al., Quantum puf for security and trust in quantum computing, IEEE Journal on Emerging and Se- lected Topics in Circuits and Systems 11 (2) (2021) 333– 342
2021
-
[100]
Neethu et al., Securing data privacy and integrity in cloud computing using blockchain and quantum cryptog- raphy, Metallurgical and Materials Engineering 31 (4) (2025) 137–145
V . Neethu et al., Securing data privacy and integrity in cloud computing using blockchain and quantum cryptog- raphy, Metallurgical and Materials Engineering 31 (4) (2025) 137–145
2025
-
[101]
C. H. Bennett et al., Experimental quantum cryptography, Journal of Cryptology 5 (1) (1992) 3–28
1992
-
[102]
Gisin et al., Quantum cryptography, Rev
N. Gisin et al., Quantum cryptography, Rev. Mod. Phys. 74 (2002) 145–195
2002
-
[103]
A. I. Nurhadi et al., Quantum key distribution (qkd) pro- tocols: A survey, in: 2018 4th International Conference on Wireless and Telematics (ICWT), 2018, pp. 1–5
2018
-
[104]
Lee et al., Eavesdropping detection in bb84 quantum key distribution protocols, IEEE Transactions on Network and Service Management 19 (3) (2022) 2689–2701
C. Lee et al., Eavesdropping detection in bb84 quantum key distribution protocols, IEEE Transactions on Network and Service Management 19 (3) (2022) 2689–2701
2022
-
[105]
F. Raheman, Futureproofing blockchain & cryptocurren- cies against growing vulnerabilities & q-day threat with quantum-safe ledger technology (qlt), Journal of Com- puter and Communications 12 (7) (2024) 59–77
2024
-
[106]
Lv et al., Quantum-inspired sensitive data measure- ment and secure transmission in 5g-enabled healthcare systems, Tsinghua Science and Technology 30 (1) (2025) 456–478
X. Lv et al., Quantum-inspired sensitive data measure- ment and secure transmission in 5g-enabled healthcare systems, Tsinghua Science and Technology 30 (1) (2025) 456–478
2025
-
[107]
M. A. Akbar et al., Role of quantum computing in shaping the future of 6 g technology, Information and Software Technology 170 (2024) 107454. 23
2024
-
[108]
Saad et al., Quantum-resistant blockchain solutions for future information security challenges, Preprint, preprint, February 2025 (February 2025)
Y . Saad et al., Quantum-resistant blockchain solutions for future information security challenges, Preprint, preprint, February 2025 (February 2025)
2025
-
[109]
Zhou, Quantum finance: Exploring the implications of quantum computing on financial models, Computational Economics (2025)
J. Zhou, Quantum finance: Exploring the implications of quantum computing on financial models, Computational Economics (2025)
2025
-
[110]
Tessler et al., Bitcoin and quantum computing (2017)
L. Tessler et al., Bitcoin and quantum computing (2017)
2017
-
[111]
Saeed et al., Blockchain and quantum computing: Se- curing digital assets in the age of advanced cyber threats, Preprint, february 2025 (2025)
R. Saeed et al., Blockchain and quantum computing: Se- curing digital assets in the age of advanced cyber threats, Preprint, february 2025 (2025)
2025
-
[112]
A. M. Adam et al., The impact of quantum computing on blockchain security: Challenges and solutions, Journal of Advanced Technological Innovations 1 (4) (2025) 137– 148
2025
-
[113]
Carrascal et al., Differential evolution vqe for crypto- currency arbitrage
G. Carrascal et al., Differential evolution vqe for crypto- currency arbitrage. quantum optimization with many local minima, Digital Signal Processing 148 (2024) 104464
2024
-
[114]
Wiebe et al., Quantum deep learning (2015)
N. Wiebe et al., Quantum deep learning (2015). arXiv: 1412.3489
2015 arXiv
-
[115]
Bikku et al., Enhancing real-time malware analysis with quantum neural networks, Journal of Intelligent Sys- tems and Internet of Things 12 (01) (2024) 57–69
T. Bikku et al., Enhancing real-time malware analysis with quantum neural networks, Journal of Intelligent Sys- tems and Internet of Things 12 (01) (2024) 57–69
2024
-
[116]
Azeez et al., Developing intelligent cyber threat detec- tion systems through quantum computing, International Journal of Science and Research Archive 12 (02) (2024) 1297–1307
M. Azeez et al., Developing intelligent cyber threat detec- tion systems through quantum computing, International Journal of Science and Research Archive 12 (02) (2024) 1297–1307
2024
-
[117]
Caiulo, Development of machine learning models for malware detection with the support of quantum comput- ing (07 2024)
F. Caiulo, Development of machine learning models for malware detection with the support of quantum comput- ing (07 2024)
2024
-
[119]
D. Andreev et al., Applying quantum machine learning approach for detecting chaotically generated fake user- names of accounts, in: 13th International Conference for Internet Technology and Secured Transactions (ICITST – 2018), Cambridge, United Kingdom, 2018, laboratoire des ...
2018
-
[121]
A. R. Akash et al., Quantum convolutional neural network-based online malware file detection for smart grid devices, in: 2023 IEEE Design Methodologies Con- ference (DMC), ieeeexplore, 2023, pp. 1–5
2023
-
[122]
Al-Hawawreh et al., Quantum-powered extended visi- bility for zero-trust-based ransomware detection in smart grids, IEEE Internet of Things Journal 12 (6) (2025) 6721– 6733
M. Al-Hawawreh et al., Quantum-powered extended visi- bility for zero-trust-based ransomware detection in smart grids, IEEE Internet of Things Journal 12 (6) (2025) 6721– 6733
2025
-
[123]
D. Gibert et al., The rise of machine learning for detection and classification of malware: Research developments, trends and challenges, Journal of Network and Computer Applications 153 (2020) 102526
2020
-
[124]
E. D. Payares et al., Quantum machine learning for in- trusion detection of distributed denial of service attacks: a comparative overview, in: P. R. Hemmer et al. (Eds.), Quantum Computing, Communication, and Simulation, V ol. 11699, International Society for Optics and Photon...
2021
-
[125]
I et al., Ransomware detection using quantum neural networks, in: 2024 International Conference on System, Computation, Automation and Networking (ICSCAN), ieeeexplore, 2024, pp
V . I et al., Ransomware detection using quantum neural networks, in: 2024 International Conference on System, Computation, Automation and Networking (ICSCAN), ieeeexplore, 2024, pp. 1–6
2024
-
[126]
Nyári, The impact of quantum computing on it security, Safety and Security Sciences Review 3 (4) (2021) 25–34
N. Nyári, The impact of quantum computing on it security, Safety and Security Sciences Review 3 (4) (2021) 25–34
2021
-
[127]
Alyami et al., The evaluation of software security through quantum computing techniques: A durability perspective, Applied Sciences 11 (24) (2021)
H. Alyami et al., The evaluation of software security through quantum computing techniques: A durability perspective, Applied Sciences 11 (24) (2021)
2021
-
[128]
Ali et al., When software engineering meets quantum computing, Commun
S. Ali et al., When software engineering meets quantum computing, Commun. ACM 65 (4) (2022) 84–88
2022
-
[129]
Piattini et al., Quantum computing: A new software engineering golden age, SIGSOFT Softw
M. Piattini et al., Quantum computing: A new software engineering golden age, SIGSOFT Softw. Eng. Notes 45 (3) (2020) 12–14
2020
-
[130]
Mousa et al., An investigation of privacy and software engineering in the context of quantum computing, ICSeB ’24, Association for Computing Machinery, New York, NY , USA, 2025, p
N. Mousa et al., An investigation of privacy and software engineering in the context of quantum computing, ICSeB ’24, Association for Computing Machinery, New York, NY , USA, 2025, p. 64–69
2025
-
[131]
Awan et al., Quantum computing challenges in the soft- ware industry
U. Awan et al., Quantum computing challenges in the soft- ware industry. a fuzzy ahp-based approach, Information and Software Technology 147 (2022) 106896
2022
-
[132]
Alyami et al., Analyzing the Data of Software Se- curity Life-Span: Quantum Computing Era, Intelligent Automation & Soft Computing 31 (2) (2022) 707–716
H. Alyami et al., Analyzing the Data of Software Se- curity Life-Span: Quantum Computing Era, Intelligent Automation & Soft Computing 31 (2) (2022) 707–716
2022
-
[133]
M. R. Nosouhi et al., Towards quantum-secure software defined networks, IET Quantum Communication 5 (1) (2024) 66–71
2024
-
[134]
Coronado, On the security and the efficiency of the merkle signature scheme, Cryptology ePrint Archive, Pa- per 2005/192 (2005)
C. Coronado, On the security and the efficiency of the merkle signature scheme, Cryptology ePrint Archive, Pa- per 2005/192 (2005)
2005
-
[135]
Repka et al., Overview of the mceliece cryptosystem and its security, Tatra Mountains Mathematical Publica- tions 60 (1) (2014) 57–83
M. Repka et al., Overview of the mceliece cryptosystem and its security, Tatra Mountains Mathematical Publica- tions 60 (1) (2014) 57–83. 24
2014
-
[136]
Nadeem et al., Evaluating software security in the era of quantum computer by using fuzzy topsis, preprint, not peer-reviewed (Oct
M. Nadeem et al., Evaluating software security in the era of quantum computer by using fuzzy topsis, preprint, not peer-reviewed (Oct. 2022)
2022
-
[137]
D. B. Salvakkam et al., Enhanced quantum-secure en- semble intrusion detection techniques for cloud based on deep learning, Cognitive Computation 15 (5) (2023) 1593–1612
2023
-
[138]
T. M. Fernández-Caramés, temsfrom pre-quantum to post- quantum iot security: A survey on quantum-resistant cryp- tosys for the internet of things, IEEE Internet of Things Journal 7 (7) (2020) 6457–6480
2020
-
[139]
Mansoor et al., Securing the future: exploring post- quantum cryptography for authentication and user privacy in iot devices, Cluster Computing 28 (2) (Nov
K. Mansoor et al., Securing the future: exploring post- quantum cryptography for authentication and user privacy in iot devices, Cluster Computing 28 (2) (Nov. 2024)
2024
-
[140]
Xiong et al., Enhancing iot security in smart grids with quantum-resistant hybrid encryption, Scientific Reports 15 (1) (2025) 3
J. Xiong et al., Enhancing iot security in smart grids with quantum-resistant hybrid encryption, Scientific Reports 15 (1) (2025) 3
2025
-
[141]
S. F. Ahmad et al., Enhancing security in the industrial iot sector using quantum computing, in: 2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS), 2021, pp. 1–5
2021
-
[142]
D. Chawla et al., A survey on quantum computing for in- ternet of things security, Procedia Computer Science 218 (2023) 2191–2200, international Conference on Machine Learning and Data Engineering
2023
-
[143]
Safak et al., Post-quantum security measures for the internet of things, Encyclopedia of Information Science and Technology, Sixth Edition (2024) 1–44
I. Safak et al., Post-quantum security measures for the internet of things, Encyclopedia of Information Science and Technology, Sixth Edition (2024) 1–44
2024
-
[144]
M. A. Khan et al., Quantum guard: Pioneering quantum- based malware defense for iot devices, in: 2024 IEEE Conference on Dependable and Secure Computing (DSC), IEEE, 2024, pp. 94–99
2024
-
[145]
Cheng et al., Securing the internet of things in a quantum world, IEEE Communications Magazine 55 (2) (2017) 116–120
C. Cheng et al., Securing the internet of things in a quantum world, IEEE Communications Magazine 55 (2) (2017) 116–120
2017
-
[146]
M. S. Rahman et al., Quantum iot: A quantum approach in iot security maintenance, in: 2019 International Confer- ence on Robotics,Electrical and Signal Processing Tech- niques (ICREST), 2019, pp. 269–272
2019
-
[147]
S. K. Routray et al., Quantum cryptography for iot: Aper- spective, in: 2017 International Conference on IoT and Application (ICIOT), 2017, pp. 1–4
2017
-
[148]
Alhakami, Enhancing iot security: Quantum-level re- silience against threats, Computers, Materials & Continua 78 (1) (2024) 329–356
H. Alhakami, Enhancing iot security: Quantum-level re- silience against threats, Computers, Materials & Continua 78 (1) (2024) 329–356
2024
-
[149]
A. A. A. El-Latif et al., Providing end-to-end security using quantum walks in iot networks, IEEE Access 8 (2020) 92687–92696
2020
-
[150]
Veer et al., Ethical hacking in the era of quantum computing and ai-driven cyber security (12 2024)
B. Veer et al., Ethical hacking in the era of quantum computing and ai-driven cyber security (12 2024)
2024
-
[151]
A. Bounceur, Distributed brute-force password recovery with a partitioned quantum grover’s algorithm, in: 2024 International Conference on Computational Intelligence and Network Systems (CINS), IEEE, 2024, pp. 1–6
2024
-
[152]
Zhang et al., A lattice-based anti-quantum privacy- preserving scheme for smart meter, International Jour- nal of Electrical Power and Energy Systems 166 (2025) 110502
S. Zhang et al., A lattice-based anti-quantum privacy- preserving scheme for smart meter, International Jour- nal of Electrical Power and Energy Systems 166 (2025) 110502
2025
-
[153]
Azeez et al., Developing intelligent cyber threat detec- tion systems through quantum computing, International Journal of Science and Research Archive 12 (2) (2024) 1297–1307
M. Azeez et al., Developing intelligent cyber threat detec- tion systems through quantum computing, International Journal of Science and Research Archive 12 (2) (2024) 1297–1307
2024
-
[154]
Azeez et al., Developing intelligent cyber threat detec- tion systems through quantum computing, International Journal of Science and Research Archive 12 (09 2024)
M. Azeez et al., Developing intelligent cyber threat detec- tion systems through quantum computing, International Journal of Science and Research Archive 12 (09 2024)
2024
-
[155]
Tripathi et al., A quantum lstm-based approach to cyber threat detection in virtual environment, The Journal of Supercomputing 81 (1) (2025) 142
S. Tripathi et al., A quantum lstm-based approach to cyber threat detection in virtual environment, The Journal of Supercomputing 81 (1) (2025) 142
2025
-
[156]
M. J. Hossain Faruk et al., A review of quantum cyber- security: Threats, risks and opportunities, in: 2022 1st International Conference on AI in Cybersecurity (ICAIC), 2022, pp. 1–8
2022
-
[157]
H. Suryotrisongko et al., Evaluating hybrid quantum- classical deep learning for cybersecurity botnet dga de- tection, Procedia Computer Science 197 (2022) 223– 229, sixth Information Systems International Conference (ISICO 2021)
2022
-
[158]
Yang et al., K-pake: post quantum password authentica- tion key exchange protocol for satellite networks, Cluster Computing 28 (02 2025)
Y . Yang et al., K-pake: post quantum password authentica- tion key exchange protocol for satellite networks, Cluster Computing 28 (02 2025)
2025
-
[159]
Mafi et al., Quantum broadcasting of the generalized ghz state: quantum noise analysis using quantum state tomography via ibmq simulation, Physica Scripta 99 (8) (2024) 085124
Y . Mafi et al., Quantum broadcasting of the generalized ghz state: quantum noise analysis using quantum state tomography via ibmq simulation, Physica Scripta 99 (8) (2024) 085124
2024
-
[160]
Abouelela, Quantum simulation of the schrodinger equation using ibm’s quantum computers (2020)
M. Abouelela, Quantum simulation of the schrodinger equation using ibm’s quantum computers (2020)
2020
-
[161]
K. S. Shenoy et al., Demonstration of a measurement- based adaptation protocol with quantum reinforcement learning on the ibm q experience platform, Quantum In- formation Processing 19 (5) (2020) 161
2020
-
[162]
H. Yeti¸ s et al., An analysis of computational performance of different quantum circuits on different ibmq backends: Case study, in: 2023 4th International Conference on Data Analytics for Business and Industry (ICDABI), 2023, pp. 623–627. 25
2023
-
[163]
A. W. Shaffar et al., Experimental benchmarking between ibm quantum computing systems, Proceedings of the Ko- rean Institute of Communications and Information Sci- ences Conference (2022) 924–925
2022
-
[164]
Ji et al., Calibration-aware transpilation for variational quantum optimization, in: 2022 IEEE International Con- ference on Quantum Computing and Engineering (QCE), 2022, pp
Y . Ji et al., Calibration-aware transpilation for variational quantum optimization, in: 2022 IEEE International Con- ference on Quantum Computing and Engineering (QCE), 2022, pp. 204–214
2022
-
[165]
Baheri et al., Pinpointing the system reliability degra- dation in nisq machines, in: 2022 IEEE International Con- ference on Quantum Computing and Engineering (QCE), 2022, pp
B. Baheri et al., Pinpointing the system reliability degra- dation in nisq machines, in: 2022 IEEE International Con- ference on Quantum Computing and Engineering (QCE), 2022, pp. 646–652
2022
-
[166]
Ikeda, First realization of quantum energy teleportation on quantum hardware (2023)
K. Ikeda, First realization of quantum energy teleportation on quantum hardware (2023)
2023
-
[167]
E. T. Escudero et al., Assessing the impact of noise on quantum neural networks: An experimental analy- sis, in: P. García Bringas et al. (Eds.), Hybrid Artificial Intelligent Systems, Springer Nature Switzerland, Cham, 2023, pp. 314–325
2023
-
[168]
Das et al., Adapt: Mitigating idling errors in qubits via adaptive dynamical decoupling, in: MICRO-54: 54th Annual IEEE/ACM International Symposium on Microar- chitecture, 2021, pp
P. Das et al., Adapt: Mitigating idling errors in qubits via adaptive dynamical decoupling, in: MICRO-54: 54th Annual IEEE/ACM International Symposium on Microar- chitecture, 2021, pp. 950–962
2021
-
[169]
Consiglio et al., Variational gibbs state preparation on noisy intermediate-scale quantum devices, Physical Review A 110 (1) (2024) 012445
M. Consiglio et al., Variational gibbs state preparation on noisy intermediate-scale quantum devices, Physical Review A 110 (1) (2024) 012445
2024
-
[170]
Shi et al., Error-mitigated quantum routing on noisy devices, in: GLOBECOM 2023-2023 IEEE Global Com- munications Conference, IEEE, 2023, pp
W. Shi et al., Error-mitigated quantum routing on noisy devices, in: GLOBECOM 2023-2023 IEEE Global Com- munications Conference, IEEE, 2023, pp. 5475–5480
2023
-
[171]
Zaman et al., Interaction free measurement on ibmq, Department of Electronic Engineering, Kyung Hee Uni- versity (2023)
F. Zaman et al., Interaction free measurement on ibmq, Department of Electronic Engineering, Kyung Hee Uni- versity (2023)
2023
-
[172]
A. A. Saki et al., Impact of noise on the resilience and the security of quantum computing, in: 2021 22nd Interna- tional Symposium on Quality Electronic Design (ISQED), 2021, pp. 186–191
2021
-
[173]
D. A. Fedorov et al., Ab initio molecular dynamics on quantum computers, The Journal of Chemical Physics 154 (16) (2021) 164103
2021
-
[174]
Deshpande et al., Design of quantum computer an- tivirus, in: 2023 IEEE International Symposium on Hard- ware Oriented Security and Trust (HOST), 2023, pp
S. Deshpande et al., Design of quantum computer an- tivirus, in: 2023 IEEE International Symposium on Hard- ware Oriented Security and Trust (HOST), 2023, pp. 260– 270
2023
-
[175]
M. R. Geller et al., Toward efficient correction of multi- qubit measurement errors: pair correlation method, Quan- tum Science and Technology 6 (2) (2021) 025009
2021
-
[176]
Moradi et al., Clinical data classification with noisy intermediate scale quantum computers, Scientific reports 12 (1) (2022) 1851
S. Moradi et al., Clinical data classification with noisy intermediate scale quantum computers, Scientific reports 12 (1) (2022) 1851
2022
-
[177]
Kuzmak et al., Preparation and study of the en- tanglement of the schr \" odinger cat state on the ibmq-melbourne quantum computer, arXiv preprint arXiv:2101.05089 (2021)
A. Kuzmak et al., Preparation and study of the en- tanglement of the schr \" odinger cat state on the ibmq-melbourne quantum computer, arXiv preprint arXiv:2101.05089 (2021)
2021
-
[178]
Jo et al., Simulating open quantum many-body sys- tems using optimised circuits in digital quantum simula- tion, arXiv preprint arXiv:2203.14295 (2022)
M. Jo et al., Simulating open quantum many-body sys- tems using optimised circuits in digital quantum simula- tion, arXiv preprint arXiv:2203.14295 (2022)
2022
-
[179]
R. A. Oancea et al., Optimizing initial qubit mappings under fixed gate error rates using deep reinforcement learning, in: International Conference on Innovations for Community Services, Springer, 2025, pp. 189–208
2025
-
[180]
Das et al., Foresight: Reducing swaps in nisq programs via adaptive multi-candidate evaluations, arXiv preprint arXiv:2204.13142 (2022)
P. Das et al., Foresight: Reducing swaps in nisq programs via adaptive multi-candidate evaluations, arXiv preprint arXiv:2204.13142 (2022)
2022
-
[181]
Ye et al., A mutual-influence-aware heuristic method for quantum circuit mapping, IEEE Transactions on Com- puters (2024)
K. Ye et al., A mutual-influence-aware heuristic method for quantum circuit mapping, IEEE Transactions on Com- puters (2024)
2024
-
[182]
Garberoglio et al., Enhanced compressive threshold quantum state tomography for qudit systems, Physical Review A 111 (3) (2025) 032436
G. Garberoglio et al., Enhanced compressive threshold quantum state tomography for qudit systems, Physical Review A 111 (3) (2025) 032436
2025
-
[183]
Deshpande et al., Towards an antivirus for quantum computers, in: 2022 IEEE International Symposium on Hardware Oriented Security and Trust (HOST), 2022, pp
S. Deshpande et al., Towards an antivirus for quantum computers, in: 2022 IEEE International Symposium on Hardware Oriented Security and Trust (HOST), 2022, pp. 37–40
2022
-
[184]
Mena López et al., Protectability of ibmq qubits by dy- namical decoupling technique, Symmetry 15 (1) (2023)
A. Mena López et al., Protectability of ibmq qubits by dy- namical decoupling technique, Symmetry 15 (1) (2023)
2023
-
[185]
H. Wang et al., Quantumnat: quantum noise-aware train- ing with noise injection, quantization and normalization, in: Proceedings of the 59th ACM/IEEE Design Automa- tion Conference, DAC ’22, Association for Computing Machinery, New York, NY , USA, 2022, p. 1–6
2022
-
[186]
Seo et al., Measurement crosstalk errors in cloud-based quantum computing, IEEE Internet Computing 26 (1) (2022) 26–33
S. Seo et al., Measurement crosstalk errors in cloud-based quantum computing, IEEE Internet Computing 26 (1) (2022) 26–33
2022
-
[187]
M. H. Akmal Zulfaizal Fadillah et al., Impact of various ibm quantum architectures with different properties on grover’s algorithm, in: 2021 International Conference on Electrical Engineering and Informatics (ICEEI), 2021, pp. 1–6
2021
-
[188]
Javanmard et al., Quantum simulation of dynamical phase transitions in noisy quantum devices, arXiv preprint arXiv:2211.08318 (2022)
Y . Javanmard et al., Quantum simulation of dynamical phase transitions in noisy quantum devices, arXiv preprint arXiv:2211.08318 (2022)
2022 arXiv
-
[189]
T. Khare et al., Parallelizing quantum-classical workloads: Profiling the impact of splitting techniques, in: 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), V ol. 1, IEEE, 2023, pp. 990–1000. 26
2023
-
[190]
I. B. Slimen et al., Discrete-time quantum walk on circular graph: Simulations and effect of gate depth and errors, International Journal of Quantum Information 19 (02) (2021) 2150008
2021
-
[191]
Coggins et al., A software method for mitigating single qubit errors on superconducting quantum devices (2020)
M. Coggins et al., A software method for mitigating single qubit errors on superconducting quantum devices (2020)
2020
-
[192]
Ovaskainen et al., Quantum software security chal- lenges within shared quantum computing environments (2025).arXiv:2507.17712
S. Ovaskainen et al., Quantum software security chal- lenges within shared quantum computing environments (2025).arXiv:2507.17712
2025
-
[193]
Perelshtein et al., Large-scale quantum hybrid so- lution for linear systems of equations, arXiv preprint arXiv:2003.12770 (2020)
M. Perelshtein et al., Large-scale quantum hybrid so- lution for linear systems of equations, arXiv preprint arXiv:2003.12770 (2020)
2003
-
[194]
Dhaulakhandi et al., Factorization of large tetra and penta prime numbers on ibm quantum processor, APL Quantum 1 (2) (2024) 026113
R. Dhaulakhandi et al., Factorization of large tetra and penta prime numbers on ibm quantum processor, APL Quantum 1 (2) (2024) 026113
2024
-
[195]
S. S. Pandey et al., Quantum circuit for advanced en- cryption standard and its experimental realisation, press (2022)
2022
-
[196]
Li et al., Qust: Optimizing quantum neural network against spatial and temporal noise biases, IEEE Transac- tions on Computer-Aided Design of Integrated Circuits and Systems (2024)
T. Li et al., Qust: Optimizing quantum neural network against spatial and temporal noise biases, IEEE Transac- tions on Computer-Aided Design of Integrated Circuits and Systems (2024)
2024
-
[197]
S. Singhal et al., Performance comparison for quantum approximate optimization algorithm (qaoa) across noise- less simulation, experimentally benchmarked noisy sim- ulation, and experimental hardware platforms, in: 2024 8th IEEE Electron Devices Technology & Manufacturing Conf...
2024
Reviewed June 30, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.