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Academic Articles & Research Papers
Showing 20 of 24 academic articles
Shriyank Somvanshi, Md Monzurul Islam, Sazzad Bin Bashar Polock, Gaurab Chhetri et al. • IEEE Transactions on Intelligent Transportation Systems
(2026)
Quantum computing introduces new computational methods that address complex optimization and machine learning challenges in transportation engineering. This literature survey reviews fundamental quantum principles, including qubits, superpo...
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Open Access
DOI: https://doi.org/10.1109/tits.2026.3662626
Tawseef Ayoub Shaikh, Rashid Ali • IEEE International Conference on Computer and Information Technology (CIT)
(2016)
Big Data is a term which denotes data that is beyond storage capacity and processing capabilities of classical computer and getting some insight from large amount of data is a very big challenge at hand. Quantum Computing comes to rescue by...
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DOI: https://doi.org/10.1109/cit.2016.79
Mario Coccia, Saeed Roshani, Melika Mosleh • IEEE Transactions on Engineering Management
(2022)
Quantum computing is a vital research field in science and technology. One of the fundamental questions hardly known is how quantum computing research is developing to support scientific advances and the evolution of path-breaking technolog...
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DOI: https://doi.org/10.1109/tem.2022.3175633
Tobias Haug, Chris N Self, M S Kim • Machine Learning: Science and Technology
(2023)
Quantum computers promise to enhance machine learning for practical applications. Quantum machine learning for real-world data has to handle extensive amounts of high-dimensional data. However, conventional methods for measuring quantum ker...
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Open Access (DOAJ)
DOI: 10.1088/2632-2153/acb0b4
Nouf Ali AL Ajmi, Muhammad Shoaib • Applied Sciences
(2025)
This study presents a comprehensive comparison of multiple optimization algorithms applied to a quantum classification model, utilizing the Cleveland dataset. Specifically, the research focuses on three prominent optimizers—COBYLA, L-BFGS-B...
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Open Access (DOAJ)
DOI: 10.3390/app15084493
Román Orús, Samuel Mugel, Enrique Lizaso • Reviews in Physics
(2019)
We discuss how quantum computation can be applied to financial problems, providing an overview of current approaches and potential prospects. We review quantum optimization algorithms , and expose how quantum annealers can be used to optimi...
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DOI: https://doi.org/10.1016/j.revip.2019.100028
Valeria Cimini, Mandar M. Sohoni, Federico Presutti, Benjamin K. Malia et al. • npj Quantum Information
(2026)
Abstract A Gaussian boson sampler (GBS) is a special-purpose quantum computer that can be practically realized at a large scale in optics. Here we report on experiments in which we used a frequency-multiplexed GBS with > 400 modes as a quan...
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Open Access (DOAJ)
DOI: 10.1038/s41534-026-01251-w
Xiaoxuan Pan, Zhide Lu, Weiting Wang, Ziyue Hua et al. • Nature Communications
(2023)
Abstract Deep learning and quantum computing have achieved dramatic progresses in recent years. The interplay between these two fast-growing fields gives rise to a new research frontier of quantum machine learning. In this work, we report a...
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Open Access (DOAJ)
DOI: 10.1038/s41467-023-39785-8
Ronald de Wolf • arXiv (Cornell University)
(2019)
This is a set of lecture notes suitable for a Master's course on quantum computation and information from the perspective of theoretical computer science. The first version was written in 2011, with many extensions and improvements in subse...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1907.09415
Daniel Mills, Seyon Sivarajah, Travis L. Scholten, Ross Duncan • Quantum
(2021)
Quantum computing systems need to be benchmarked in terms of practical tasks they would be expected to do. Here, we propose 3 "application-motivated" circuit classes for benchmarking: deep (relevant for state preparation in the variational ...
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Open Access (DOAJ)
DOI: 10.22331/q-2021-03-22-415
Stefano Mangini, Francesco Tacchino, Dario Gerace, Daniele Bajoni et al. • Europhysics Letters (EPL)
(2021)
Abstract Neural networks are computing models that have been leading progress in Machine Learning (ML) and Artificial Intelligence (AI) applications. In parallel, the first small-scale quantum computing devices have become available in rece...
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Open Access
DOI: https://doi.org/10.1209/0295-5075/134/10002
Frederik F. Flöther • Research Directions Quantum Technologies
(2023)
Abstract Quantum computing hardware and software have made enormous strides over the last years1. Questions around quantum computing’s impact on research and society have changed from “if” to “when/how”. The 2020s have been described as the...
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DOI: https://doi.org/10.1017/qut.2023.4
Péter Wittek (2014)
Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved, it focuses on providing a synthesis that expla...
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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...
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DOI: https://doi.org/10.1109/comst.2023.3254481
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...
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DOI: https://doi.org/10.1147/jrd.2018.2888987
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...
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DOI: https://doi.org/10.3390/medsci12040067
PMC: 11586987
Salik Siddiqui, Justin Holzer, Joshua Malcarne, Galahad M. B. Wernsing et al. • IEEE Access
(2025)
While quantum computing is already being employed in different domains to solve large scale and highly complex optimization problems, the wireless communications community has only recently begun exploring the potential of Quantum Machine L...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3572416
Ivana Nikoloska, Osvaldo Simeone • Frontiers in Quantum Science and Technology
(2024)
Simulation is an indispensable tool in both engineering and the sciences. In simulation-based modeling, a parametric simulator is adopted as a mechanistic model of a physical system. The problem of designing algorithms that optimize the sim...
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Open Access (DOAJ)
DOI: 10.3389/frqst.2024.1394533
Dean Brand, Domenica Dibenedetto, Francesco Petruccione • Physical Review Research
(2026)
We present a theoretical framework for a quantized memristive Leaky Integrate-and-Fire (LIF) neuron, uniting principles from neuromorphic engineering and open quantum systems. Starting from a classical memristive LIF circuit, we apply canon...
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Open Access (DOAJ)
DOI: 10.1103/y61v-2bxf
salma mostafa ahmed helmy, Salsabil Amin, Abeer mahmoud, El-Sayed El-Horabty • International Journal of Intelligent Computing and Information Sciences
(2026)
The healthcare sector is undergoing rapid transformation driven by advances in artificial intelligence and machine learning, with quantum computing emerging as the next major breakthrough. This paper presents a comparative analysis of class...
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Open Access (DOAJ)
DOI: 10.21608/ijicis.2026.442636.1439