Cyber Protection Applications of Quantum Computing: A Review

• URL: http://arxiv.org/abs/2406.13259v3
• Date: Tue, 17 Sep 2024 09:03:38 GMT
• Title: Cyber Protection Applications of Quantum Computing: A Review
• Authors: Ummar Ahmed, Tuomo Sipola, Jari Hautamäki,
• Abstract summary: scoping review was conducted by considering 815 papers. Numerous quantum computing applications for cyber protection and a number of techniques to protect our data and privacy were identified.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Quantum computing is a cutting-edge field of information technology that harnesses the principles of quantum mechanics to perform computations. It has major implications for the cyber security industry. Existing cyber protection applications are working well, but there are still challenges and vulnerabilities in computer networks. Sometimes data and privacy are also compromised. These complications lead to research questions asking what kind of cyber protection applications of quantum computing are there and what potential methods or techniques can be used for cyber protection? These questions will reveal how much power quantum computing has and to what extent it can outperform the conventional computing systems. This scoping review was conducted by considering 815 papers. It showed the possibilities that can be achievedif quantum technologies are implemented in cyber environments. This scoping review discusses various domains such as algorithms and applications, bioinformatics, cloud and edge computing, the organization of complex systems, application areas focused on security and threats, and the broader quantum computing ecosystem. In each of these areas, there is significant scope for quantum computing to be implemented and to revolutionize the working environment. Numerous quantum computing applications for cyber protection and a number of techniques to protect our data and privacy were identified. The results are not limited to network security but also include data security. This paper also discusses societal aspects, e.g., the applications of quantum computing in the social sciences. This scoping review discusses how to enhance the efficiency and security of quantum computing in various cyber security domains. Additionally, it encourages the reader to think about what kind of techniques and methods can be deployed to secure the cyber world.

Related papers

• The curse of random quantum data [62.24825255497622]
  We quantify the performances of quantum machine learning in the landscape of quantum data. We find that the training efficiency and generalization capabilities in quantum machine learning will be exponentially suppressed with the increase in qubits. Our findings apply to both the quantum kernel method and the large-width limit of quantum neural networks.
  arXiv  Detail & Related papers  (2024-08-19T12:18:07Z)
• Cybersecurity in the Quantum Era: Assessing the Impact of Quantum Computing on Infrastructure [0.04096453902709291]
  This analysis explores the impact of quantum computing on critical infrastructure and cloud services. We advocate for proactive security strategies and collaboration between sectors to develop and implement quantum-resistant cryptography. This blueprint strengthens each area's defenses against potential quantum-induced cyber threats.
  arXiv  Detail & Related papers  (2024-04-16T15:36:23Z)
• Assessing the Benefits and Risks of Quantum Computers [0.7224497621488283]
  We review what is currently known on the potential uses and risks of quantum computers. We identify 2 large-scale trends -- new approximate methods and the commercial exploration of business-relevant quantum applications. We conclude there is a credible expectation that quantum computers will be capable of performing computations which are economically-impactful.
  arXiv  Detail & Related papers  (2024-01-29T17:21:31Z)
• 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)
• Quantum Machine Learning: from physics to software engineering [58.720142291102135]
  We show how classical machine learning approach can help improve the facilities of quantum computers. We discuss how quantum algorithms and quantum computers may be useful for solving classical machine learning tasks.
  arXiv  Detail & Related papers  (2023-01-04T23:37:45Z)
• Quantum Computing and the Future Internet [0.0]
  The advancement in quantum computing has the potential to revolutionize our daily lives, but it can also break down the Internet as we know it. This article discusses quantum computing key concepts, with a special focus on quantum Internet, quantum key distribution, and related challenges.
  arXiv  Detail & Related papers  (2022-03-14T11:20:37Z)
• 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)
• The Computational and Latency Advantage of Quantum Communication Networks [70.01340727637825]
  This article summarises the current status of classical communication networks. It identifies some critical open research challenges that can only be solved by leveraging quantum technologies.
  arXiv  Detail & Related papers  (2021-06-07T06:31:02Z)
• Dos and Don'ts of Machine Learning in Computer Security [74.1816306998445]
  Despite great potential, machine learning in security is prone to subtle pitfalls that undermine its performance. We identify common pitfalls in the design, implementation, and evaluation of learning-based security systems. We propose actionable recommendations to support researchers in avoiding or mitigating the pitfalls where possible.
  arXiv  Detail & Related papers  (2020-10-19T13:09:31Z)
• 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)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.