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Industry quantum computing applications

Andreas Bayerstadler, Guillaume Becquin, Julia Binder, Thierry Botter et al. • EPJ Quantum Technology (2021)

Abstract Quantum computing promises to overcome computational limitations with better and faster solutions for optimization, simulation, and machine learning problems. Europe and Germany are in the process of successfully establishing resea...

OPENALEX cc-by DOI: https://doi.org/10.1140/epjqt/s40507-021-00114-x

A Survey of Important Issues in Quantum Computing and Communications

Zebo Yang, Maede Zolanvari, Raj Kumar Jain • IEEE Communications Surveys & Tutorials (2023)

Driven by the rapid progress in quantum hardware, recent years have witnessed a furious race for quantum technologies in both academia and industry. Universal quantum computers have supported up to hundreds of qubits, while the scale of qua...

OPENALEX cc-by DOI: https://doi.org/10.1109/comst.2023.3254481

Quantum Computing for Finance: State-of-the-Art and Future Prospects

Daniel J. Egger, Claudio Gambella, Jakub Marecek, Scott McFaddin et al. • IEEE Transactions on Quantum Engineering (2020)

This article outlines our point of view regarding the applicability, state-of-the-art, and potential of quantum computing for problems in finance. We provide an introduction to quantum computing as well as a survey on problem classes in fin...

OPENALEX cc-by DOI: https://doi.org/10.1109/tqe.2020.3030314

Potential of quantum computing for drug discovery

Yudong Cao, Jonathan Romero, Alán Aspuru‐Guzik • IBM Journal of Research and Development (2018)

Quantum computing has rapidly advanced in recent years due to substantial development in both hardware and algorithms. These advances are carrying quantum computers closer to their impending commercial utility. Drug discovery is a promising...

OPENALEX DOI: https://doi.org/10.1147/jrd.2018.2888987

Quantum Computing in Medicine

James C. L. Chow • Medical Sciences (2024)

Quantum computing (QC) represents a paradigm shift in computational power, offering unique capabilities for addressing complex problems that are infeasible for classical computers. This review paper provides a detailed account of the curren...

OPENALEX cc-by DOI: https://doi.org/10.3390/medsci12040067 PMC: 11586987

Open source software in quantum computing

Mark Fingerhuth, Tomáš Babej, Péter Wittek • PLoS ONE (2018)

Open source software is becoming crucial in the design and testing of quantum algorithms. Many of the tools are backed by major commercial vendors with the goal to make it easier to develop quantum software: this mirrors how well-funded ope...

OPENALEX cc-by DOI: https://doi.org/10.1371/journal.pone.0208561 PMC: 6301779

A Survey of Quantum Computing for Finance

Dylan Herman, Cody Googin, Xiaoyuan Liu, Alexey Galda et al. • RePEc: Research Papers in Economics (2022)

Quantum computers are expected to surpass the computational capabilities of classical computers during this decade and have transformative impact on numerous industry sectors, particularly finance. In fact, finance is estimated to be the fi...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.2201.02773

Distributed Systems

Vivek S Kale • CRC Press eBooks (2018)

The origins of big data technologies come from database systems and distributed systems as well as data mining and machine learning algorithms that can process these vast amounts of data to extract the necessary knowledge. This chapter addr...

OPENALEX DOI: https://doi.org/10.1201/9780429453311-9

Blockchain in Cybersecurity

Akhil John Mampilly, Vijaya Kittu Manda, Chithirai Pon Selvan • Advances in information security, privacy, and ethics book series (2024)

Blockchain is a promising technology that can help organizations improve their cybersecurity. Blockchain has many inherent features that can help enhance data security, improve threat detection and response, strengthen authentication and au...

OPENALEX DOI: https://doi.org/10.4018/979-8-3693-9225-6.ch003

Explainable machine learning in cybersecurity: A survey

Feixue Yan, Sheng Wen, ‪Surya Nepal‬, Cécile L. Paris et al. • International Journal of Intelligent Systems (2022)

Machine learning (ML) techniques are increasingly important in cybersecurity, as they can quickly analyse and identify different types of threats from millions of events. In spite of the increasing number of possible applications of ML, suc...

OPENALEX cc-by-nc DOI: https://doi.org/10.1002/int.23088

Cybersecurity of Online Proctoring Systems

Ludwig Slusky • Journal of international technology and information management (2020)

The online proctored examinations are adopted exceedingly in all forms of academic education and professional training. AI with Machine Learning technology take the leading role in supporting authentication, authorization, and operational c...

OPENALEX Open Access DOI: https://doi.org/10.58729/1941-6679.1445

Toward a Sustainable Cybersecurity Ecosystem

Shahrin Sadik, Mohiuddin Ahmed, Leslie F. Sikos, A.K.M. Najmul Islam • Computers (2020)

Cybersecurity issues constitute a key concern of today’s technology-based economies. Cybersecurity has become a core need for providing a sustainable and safe society to online users in cyberspace. Considering the rapid increase of technolo...

OPENALEX cc-by DOI: https://doi.org/10.3390/computers9030074

Harnessing Artificial Intelligence Capabilities to Improve Cybersecurity

Sherali Zeadally, Erwin Adi, Zubair Ahmed Baig, Imran Ali Khan • IEEE Access (2020)

Cybersecurity is a fast-evolving discipline that is always in the news over the last decade, as the number of threats rises and cybercriminals constantly endeavor to stay a step ahead of law enforcement. Over the years, although the origina...

OPENALEX cc-by DOI: https://doi.org/10.1109/access.2020.2968045

Machine learning in cybersecurity: a comprehensive survey

Dipankar Dasgupta, Zahid Akhtar, Sajib Sen • The Journal of Defense Modeling and Simulation Applications Methodology Technology (2020)

Today’s world is highly network interconnected owing to the pervasiveness of small personal devices (e.g., smartphones) as well as large computing devices or services (e.g., cloud computing or online banking), and thereby each passing minut...

OPENALEX DOI: https://doi.org/10.1177/1548512920951275

Graph Mining for Cybersecurity: A Survey

Bo Yan, Cheng Hong Yang, Chuan Shi, Yong Fang et al. • ACM Transactions on Knowledge Discovery from Data (2023)

The explosive growth of cyber attacks today, such as malware, spam, and intrusions, has caused severe consequences on society. Securing cyberspace has become a great concern for organizations and governments. Traditional machine learning ba...

OPENALEX Open Access DOI: https://doi.org/10.1145/3610228

Cybersecurity

Patrice Seuwou • Routledge eBooks (2025)

In an increasingly digital business landscape, cybersecurity has evolved from a technical concern to a strategic imperative. As organisations shift operations online, the complexities and potential consequences of cyber threats have grown e...

OPENALEX DOI: https://doi.org/10.4324/9781032672458-10