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Thomas Lubinski, Sonika Johri, Paul Varosy, Jeremiah Coleman et al. • IEEE Transactions on Quantum Engineering
(2023)
In this work we introduce an open source suite of quantum application-oriented performance benchmarks that is designed to measure the effectiveness of quantum computing hardware at executing quantum applications. These benchmarks probe a qu...
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DOI: https://doi.org/10.1109/tqe.2023.3253761
Phani Sekhar Emmanni • Journal of Mathematical & Computer Applications
(2023)
The advent of quantum computing heralds a transformative shift in the computational landscape, offering unparalleled processing power that promises to solve complex problems far beyond the reach of classical computing. This quantum leap als...
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DOI: https://doi.org/10.47363/jmca/2023(2)140
Mritunjay Shall Peelam, Anjaney Asreet Rout, Vinay Chamola • IET Quantum Communication
(2023)
Abstract The rapidly developing discipline of quantum computing (QC) employs ideas from quantum physics to improve the performance of traditional computers and other devices. Because of the dramatically improved speed at which it processes ...
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DOI: https://doi.org/10.1049/qtc2.12079
Sascha Wilkens, Joe Moorhouse • Quantum Information Processing
(2023)
Abstract Quantum computing allows a significant speed-up over traditional CPU- and GPU-based algorithms when applied to particular mathematical challenges such as optimisation and simulation. Despite promising advances and extensive researc...
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DOI: https://doi.org/10.1007/s11128-022-03777-2
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
Jiang Guo, Junichiro Shiomi • Next Energy
(2024)
Materials informatics has emerged as a powerful tool for the discovery, design, and optimization of materials with tailored thermal radiative properties. This perspective review highlights the recent advances in optimization algorithms, inc...
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Open Access (DOAJ)
DOI: 10.1016/j.nxener.2023.100078
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
Kelvin Leong, Anna Sung • Journal of Interdisciplinary Sciences
(2022)
Business management requires rapid reactions to the changes of business environment
effectively. Given quantum computing’s game-changing power will bring huge transformation,
therefore managers should be aware of how to take the advantage...
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Diogo A. Gálico, Emille M. Rodrigues, Ilias Halimi, Juho Toivola et al. • Nature Communications
(2024)
Abstract Molecular systems known as single-molecule magnets (SMMs) exhibit magnet-like behaviour of slow relaxation of the magnetisation and magnetic hysteresis and have potential application in high-density memory storage or quantum comput...
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DOI: 10.1038/s41467-024-47682-x
Jiawei Yong, Sihai Tang • Entropy
(2026)
Solving Bayesian inverse problems efficiently stands as a major bottleneck in scientific computing. Although Bayesian Physics-Informed Neural Networks (B-PINNs) have introduced a robust way to quantify uncertainty, the high-dimensional para...
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Open Access (DOAJ)
DOI: 10.3390/e28020156
Sergey V. Uchaikin, Boris I. Ivanov, Arjan F. van Loo, Yasunobu Nakamura et al. • Physical Sciences Forum
(2025)
We present the development of two complementary amplifier architectures for axion haloscope experiments, based on two types of Josephson Parametric Amplifiers (JPAs). The first employs a multi-chip module of flux-driven JPAs in a parallel–s...
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Open Access (DOAJ)
DOI: 10.3390/psf2025011005
A. Y. Matsuura • ACM International Conference on Computing Frontiers (CF)
(2021)
Quantum computing offers the potential for compelling performance improvement on important high performance computing applications such as the simulation of materials and chemical systems. In constructing a full-stack quantum computing syst...
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DOI: https://doi.org/10.1145/3457388.3460817
Diksha Chawla, Pawan Singh Mehra • Procedia Computer Science
(2023)
Quantum computing, based on quantum mechanical principle, can potentially provide significant advantages over classical computing. This advantage of quantum computing provides solutions to many previously unsolvable problems in secure commu...
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DOI: https://doi.org/10.1016/j.procs.2023.01.195
Urmila Pilania, Manoj Kumar, Sanjay Singh, Subhash Chandra et al. • Advances in computational intelligence and robotics book series
(2025)
Quantum computing is an emerging field that utilizes quantum mechanics to process information in ways other than classical computers. First, this chapter provides an overview of the fundamental definitions and concepts for quantum computing...
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DOI: https://doi.org/10.4018/979-8-3373-1419-8.ch011
David E. Bernal, Akshay Ajagekar, Stuart M. Harwood, Spencer T. Stober et al. • AIChE Journal
(2022)
Abstract Quantum computing has been attracting public attention recently. This interest is driven by the advancements in hardware, software, and algorithms required for its successful usage and the promise that it entails the potential acce...
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DOI: https://doi.org/10.1002/aic.17651
M. S. Godwin Premi, D. Susitra, Suja Cherukullapurath Mana, Ms. R. Velvizhi et al. (2025)
Quantum Computing represents a paradigm shift in computation, leveraging the principles of quantum mechanics to solve problems intractable for classical computers. This book provides a comprehensive exploration of quantum computing, encompa...
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Open Access
DOI: https://doi.org/10.47716/978-93-92090-62-2
Razia Abdul Majid Qureshi, Altaf Ur Rahman, Altaf Ur Rahman, Muhammad Sajjad et al. • Frontiers in Chemistry
(2026)
Recent advances in the precise control of electromagnetic and transport properties, and the miniaturization of electronic devices, have introduced new prospects in the development of practical quantum computing. Double perovskites have gain...
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DOI: 10.3389/fchem.2026.1814481
Huihui Zhu, Tian Chen, Haoran Ma, Zichao Zhao et al. • npj Nanophotonics
(2026)
Abstract Recent years have witnessed significant progress in quantum computing and its applications, driven by the emergence of integrated quantum photonic chips. These chips offer significant advantages of scalability, stability, and low-c...
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DOI: 10.1038/s44310-026-00114-8
Maxwell Aifer, Sebastian Deffner • New Journal of Physics
(2022)
While recent breakthroughs in quantum computing promise the nascence of the quantum information age, quantum states remain delicate to control. Moreover, the required energy budget for large scale quantum applications has only sparely been ...
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Open Access (DOAJ)
DOI: 10.1088/1367-2630/ac6821
Jihong Ma • Small Science
(2023)
Phononic crystals (PnCs) and acoustic metamaterials (AMMs) are artificially architected materials endowed with the capabilities of wave manipulation. This review specifically covers the theoretical fundamentals and recent development of PnC...
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DOI: 10.1002/smsc.202200052