Related papers: A Survey and Tutorial on Security and Resilience of Quantum Computing

Related papers

A Survey on Security with Quantum Computing [5.346950522909353]
Quantum computing has emerged as a transformative computing paradigm capable of solving problems that remain computationally infeasible for classical systems.<n>This survey focuses on security issues in quantum computers, security threats caused by quantum computers, and security mechanisms developed for quantum systems.<n>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.
arXiv Detail & Related papers (2026-05-19T11:11:46Z)
Quantum-enhanced Computer Vision: Going Beyond Classical Algorithms [50.573955644831386]
Quantum-enhanced Computer Vision (QeCV) is a new research field at the intersection of computer vision, machine learning and quantum computing.<n>It has high potential to transform how visual signals are processed and interpreted with the help of quantum computing.<n>This survey contributes to the existing literature on QeCV with a holistic review of this research field.
arXiv Detail & Related papers (2025-10-08T17:59:51Z)
Digital quantum simulation of many-body systems: Making the most of intermediate-scale, noisy quantum computers [51.56484100374058]
This thesis is centered around simulating quantum dynamics on quantum devices.<n>We present an overview of the most relevant quantum algorithms for quantum dynamics.<n>We identify relevant problems within quantum dynamics that could benefit from quantum simulation in the near future.
arXiv Detail & Related papers (2025-08-29T10:37:19Z)
Quantum Software Security Challenges within Shared Quantum Computing Environments [2.4742581572364126]
The number of qubits in quantum computers keeps growing, but most quantum programs remain relatively small because of the noisy nature of the underlying quantum hardware.<n>This article explores and reports the key challenges identified in quantum software security within shared quantum computing environments.
arXiv Detail & Related papers (2025-07-23T17:23:34Z)
Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses [2.089191490381739]
Quantum Machine Learning (QML) integrates quantum computing with classical machine learning to solve classification, regression and generative tasks.<n>This chapter examines adversarial threats unique to QML systems, focusing on vulnerabilities in cloud-based deployments, hybrid architectures, and quantum generative models.
arXiv Detail & Related papers (2025-06-27T01:19:49Z)
Quantum-Accelerated Wireless Communications: Concepts, Connections, and Implications [59.0413662882849]
Quantum computing is poised to redefine the algorithmic foundations of communication systems.<n>This article outlines the fundamentals of quantum computing in a style familiar to the communications society.<n>We highlight a mathematical harmony between quantum and wireless systems, which makes the topic more enticing to wireless researchers.
arXiv Detail & Related papers (2025-06-25T22:25:47Z)
Security Vulnerabilities in Quantum Cloud Systems: A Survey on Emerging Threats [0.0]
Quantum computing is becoming increasingly widespread due to the potential and capabilities to solve complex problems beyond the scope of classical computers. However, the inherent vulnerabilities of these environments pose significant security concerns. This survey delivers a comprehensive analysis of the security challenges that emerged in quantum cloud systems.
arXiv Detail & Related papers (2025-04-27T01:01:36Z)
Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection Systems [42.184783937646806]
We investigate the potential impact of quantum computing and machine learning (QML) on cybersecurity applications of traditional ML. First, we explore the potential advantages of quantum computing in machine learning problems specifically related to cybersecurity. Then, we describe a methodology to quantify the future impact of fault-tolerant QML algorithms on real-world problems.
arXiv Detail & Related papers (2025-02-16T15:49:25Z)
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits [82.50620782471485]
QuantumSEA is an in-time sparse exploration for noise-adaptive quantum circuits. It aims to achieve two key objectives: (1) implicit circuits capacity during training and (2) noise robustness. Our method establishes state-of-the-art results with only half the number of quantum gates and 2x time saving of circuit executions.
arXiv Detail & Related papers (2024-01-10T22:33:00Z)
Tuning Quantum Computing Privacy through Quantum Error Correction [12.475140331375666]
We propose to leverage quantum error correction techniques to reduce quantum computing errors. We show that QEC is a feasible way to regulate the degree of privacy protection in quantum computing.
arXiv Detail & Related papers (2023-12-22T08:35:23Z)
The Evolution of Quantum Secure Direct Communication: On the Road to the Qinternet [49.8449750761258]
Quantum secure direct communication (QSDC) is provably secure and overcomes the threat of quantum computing. We will detail the associated point-to-point communication protocols and show how information is protected and transmitted.
arXiv Detail & Related papers (2023-11-23T12:40:47Z)
Towards Quantum-Native Communication Systems: New Developments, Trends, and Challenges [63.67245855948243]
The survey examines technologies such as quantum-domain (QD) multi-input multi-output (MIMO), QD non-orthogonal multiple access (NOMA), quantum secure direct communication (QSDC) The current status of quantum sensing, quantum radar, and quantum timing is briefly reviewed in support of future applications.
arXiv Detail & Related papers (2023-11-09T09:45:52Z)
A First Order Survey of Quantum Supply Dynamics and Threat Landscapes [2.348041867134616]
This paper is a first attempt to explore the quantum computing ecosystem from a security perspective. By investigating the publicly disclosed information from industry front runners like IBM, Google, Honeywell and more, we piece together various components of quantum computing supply chain. We uncover some potential vulnerabilities and attack models and suggest defenses.
arXiv Detail & Related papers (2023-08-18T18:48:37Z)
Reliable AI: Does the Next Generation Require Quantum Computing? [71.84486326350338]
We show that digital hardware is inherently constrained in solving problems about optimization, deep learning, or differential equations. In contrast, analog computing models, such as the Blum-Shub-Smale machine, exhibit the potential to surmount these limitations.
arXiv Detail & Related papers (2023-07-03T19:10:45Z)
A Primer on Security of Quantum Computing [5.510992382274774]
Quantum computing can potentially transform several application areas by solving intractable problems from classical domain. Quantum computing stack may contain sensitive Intellectual Properties (IP) that requires protection. Quantum computers suffer from crosstalk that couples two programs in a multi-tenant setting to facilitate traditionally known fault injection attacks.
arXiv Detail & Related papers (2023-05-04T02:30:27Z)
Near-Term Quantum Computing Techniques: Variational Quantum Algorithms, Error Mitigation, Circuit Compilation, Benchmarking and Classical Simulation [5.381727213688375]
We are still a long way from reaching the maturity of a full-fledged quantum computer. An outstanding challenge is to come up with an application that can reliably carry out a nontrivial task. Several near-term quantum computing techniques have been proposed to characterize and mitigate errors.
arXiv Detail & Related papers (2022-11-16T07:53:15Z)
Optimal Stochastic Resource Allocation for Distributed Quantum Computing [50.809738453571015]
We propose a resource allocation scheme for distributed quantum computing (DQC) based on programming to minimize the total deployment cost for quantum resources. The evaluation demonstrates the effectiveness and ability of the proposed scheme to balance the utilization of quantum computers and on-demand quantum computers.
arXiv Detail & Related papers (2022-09-16T02:37:32Z)
Cybersecurity for Quantum Computing [3.867124349164785]
Quantum computing companies, institutions and research groups may become targets of nation-state actors, cybercriminals and hacktivists. This paper discusses the status quo of quantum computing technologies and the quantum threat associated with it. We propose recommendations on how to proactively reduce the cyberattack surface through threat intelligence and by ensuring security by design of quantum software and hardware components.
arXiv Detail & Related papers (2021-10-27T18:41:30Z)
An Application of Quantum Annealing Computing to Seismic Inversion [55.41644538483948]
We apply a quantum algorithm to a D-Wave quantum annealer to solve a small scale seismic inversions problem. The accuracy achieved by the quantum computer is at least as good as that of the classical computer.
arXiv Detail & Related papers (2020-05-06T14:18:44Z)
Quantum noise protects quantum classifiers against adversaries [120.08771960032033]
Noise in quantum information processing is often viewed as a disruptive and difficult-to-avoid feature, especially in near-term quantum technologies. We show that by taking advantage of depolarisation noise in quantum circuits for classification, a robustness bound against adversaries can be derived. This is the first quantum protocol that can be used against the most general adversaries.
arXiv Detail & Related papers (2020-03-20T17:56:14Z)

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