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Academic Articles & Research Papers
Showing 20 of 188 academic articles
David K Ferry, Wolfgang Porod • Materials Research Express
(2023)
There has been much discussion for decades over the proper concepts of minimum dissipation per logic gate and what is required for computation, as well as early arguments over logically reversible machines. Here these arguments, and the the...
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Open Access (DOAJ)
DOI: 10.1088/2053-1591/acebba
Mark E. Saffman • National Science Review
(2018)
The power of quantum computation derives from algorithmic methods that exploit the availability of quantum superposition and entanglement to perform computations that are intractable with classical devices. The race is on to develop hardwar...
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DOI: https://doi.org/10.1093/nsr/nwy088
PMC: 8291449
Kyle Lee, Shuvro Chowdhury, Kerem Y. Camsari • Communications Physics
(2025)
Abstract Ising machines are hardware accelerators for combinatorial optimization and probabilistic sampling, using stochasticity to explore spin configurations and avoid local minima. We refine the previously proposed coupled chaotic bits (...
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Open Access (DOAJ)
DOI: 10.1038/s42005-025-01945-1
Ruofan Chen, Xiansong Xu, Chu Guo • New Journal of Physics
(2024)
Tensor-network-based methods are promising candidates to solve quantum impurity problems (QIP). They are free of sampling noises and the sign problem compared to state-of-the-art continuous-time quantum Monte Carlo methods. Recent progress ...
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Open Access (DOAJ)
DOI: 10.1088/1367-2630/ad19fa
Akihiko Sekine, Ryo Murakami, Yoshiyasu Doi • npj Nanophotonics
(2026)
Abstract The quantum transduction, or equivalently quantum frequency conversion, is vital for realizing, e.g., quantum networks and distributed quantum computing. The microwave-to-optical quantum transduction is of interest in the field of ...
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Open Access (DOAJ)
DOI: 10.1038/s44310-026-00130-8
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
PsiQuantum team, Koen Alexander, Avishai Benyamini, Dylan S. Black et al. • Nature
(2025)
Abstract Although holding great promise for low noise, ease of operation and networking 1 , useful photonic quantum computing has been precluded by the need for beyond-state-of-the-art components, manufactured by the millions 2–6 . Here we ...
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DOI: https://doi.org/10.1038/s41586-025-08820-7
PMC: 12095036
Muhammad Ali Shafique, Arslan Munir, Imran Latif • IEEE Access
(2024)
Quantum computing, a transformative field that emerged from quantum mechanics and computer science, has gained immense attention for its potential to revolutionize computation. This paper aims to address the fundamentals of quantum computin...
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DOI: https://doi.org/10.1109/access.2024.3362955
Young‐Seok Kim, Andrew Eddins, Sajant Anand, Ken Xuan Wei et al. • Nature
(2023)
Abstract Quantum computing promises to offer substantial speed-ups over its classical counterpart for certain problems. However, the greatest impediment to realizing its full potential is noise that is inherent to these systems. The widely ...
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DOI: https://doi.org/10.1038/s41586-023-06096-3
PMC: 10266970
John P. Preskill • Quantum
(2018)
Noisy Intermediate-Scale Quantum (NISQ) technology will be available in the near future. Quantum computers with 50-100 qubits may be able to perform tasks which surpass the capabilities of today's classical digital computers, but noise in q...
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DOI: https://doi.org/10.22331/q-2018-08-06-79
Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter • arXiv (Cornell University)
(2017)
Deep Learning has revolutionized vision via convolutional neural networks (CNNs) and natural language processing via recurrent neural networks (RNNs). However, success stories of Deep Learning with standard feed-forward neural networks (FNN...
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DOI: https://doi.org/10.48550/arxiv.1706.02515
Yogita K. Dubey, Milind M. Mushrif • Advances in Fuzzy Systems
(2016)
The study of brain disorders requires accurate tissue segmentation of magnetic resonance (MR) brain images which is very important for detecting tumors, edema, and necrotic tissues. Segmentation of brain images, especially into three main t...
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Open Access (DOAJ)
DOI: 10.1155/2016/3406406
Guang-Yuan Song, Zhen-Zhao Tao, Bo-Lun Huang, Bo Yu et al. • The Astronomical Journal
(2026)
The Five-hundred-meter Aperture Spherical Telescope (FAST) is the world’s largest single-dish radio telescope, and the search for extraterrestrial intelligence (SETI) is one of its five key science objectives. We conducted a targeted search...
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Open Access (DOAJ)
DOI: 10.3847/1538-3881/ae8516
E. Kocan, M. Pejanovic-Djurisic • Telfor Journal
(2012)
In this paper we present analytical performance evaluation of a dual-hop OFDM amplify-andforward (AF) variable gain (VG) relay system implementing ordered subcarrier mapping (SCM) at the relay station (R), considered to be a very interestin...
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Sapthak Mohajon Turjya, Mulham Fawakherji • IEEE Access
(2025)
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition whose diagnosis relies heavily on subjective behavioral assessments. Electroencephalography (EEG) provides an inexpensive and non-invasive method of objective biomarker detect...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3646589
Yaxin Wang, Linxiang Zhou, Tianfeng Feng, Hanlin Nie et al. • Communications Physics
(2026)
Abstract Noise fundamentally limits quantum communication capacity, completely preventing information transmission in fully depolarizing environments. While indefinite causal order theoretically circumvents this limitation, experimentally r...
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Open Access (DOAJ)
DOI: 10.1038/s42005-026-02698-1
Varun Srivastava, Abhinash Kumar Roy, Soumik Mahanti, Jasleen Kaur et al. • Physical Review Research
(2026)
Randomized benchmarking (RB) is a widely adopted protocol for estimating the average gate fidelity in quantum hardware. However, its standard formulation relies on the assumption of temporally uncorrelated noise, an assumption often violate...
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Open Access (DOAJ)
DOI: 10.1103/r1z5-ycqc
Sándor Imre, Ferenc Balázs • Wiley eBooks
(2004)
transmission of quantum states by using entanglement.Quantum error correction keeps the possibility of maintaining quantum coherence when an irreversible noise process exists.At present, the world is undergoing a new round of "quantum revol...
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DOI: https://doi.org/10.1002/9780470869048
Soumyadeep Ray, Pronaya Bhattacharya, Ebrahim A. Mattar, Abhishek Mukhopadhyay • Computational and Structural Biotechnology Journal
(2025)
This survey examines the convergence of Explainable Artificial Intelligence (XAI) and Quantum Computing (QC) toward precision medicine. We review developments from 2018 to 2025, summarizing quantum algorithms, quantum-machine-learning model...
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Open Access (DOAJ)
DOI: 10.1016/j.csbj.2025.11.031
Leonid V. Abdurakhimov, Imran Mahboob, Hiraku Toida, Kosuke Kakuyanagi et al. • PRX Quantum
(2022)
Parasitic two-level-system (TLS) defects are one of the major factors limiting the coherence times of superconducting qubits. Although there has been significant progress in characterizing basic parameters of TLS defects, exact mechanisms o...
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Open Access (DOAJ)
DOI: 10.1103/PRXQuantum.3.040332