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Academic Articles & Research Papers
Showing 20 of 2,365 academic articles
Jiannis K. Pachos, Paolo Zanardi • International Journal of Modern Physics B
(2001)
Holonomic Quantum Computation (HQC) is an all-geometrical approach to quantum information processing. In the HQC strategy information is encoded in degenerate eigen-spaces of a parametric family of Hamiltonians. The computational network of...
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Open Access
DOI: https://doi.org/10.1142/s0217979201004836
Irati Alonso Calafell, Joel D. Cox, Milan Radonjić, J. R. M. Saavedra et al. • npj Quantum Information
(2019)
Abstract Among the various approaches to quantum computing, all-optical architectures are especially promising due to the robustness and mobility of single photons. However, the creation of the two-photon quantum logic gates required for un...
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DOI: https://doi.org/10.1038/s41534-019-0150-2
Robert Alicki, Michał Horodecki, Paweł Horodecki, Ryszard Horodecki • Physical Review A
(2002)
We develop a dynamical non-Markovian description of quantum computing in the weak-coupling limit, in the lowest-order approximation. We show that the long-range memory of the quantum reservoir (such as the ${1/t}^{4}$ one exhibited by elect...
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Open Access
DOI: https://doi.org/10.1103/physreva.65.062101
Yapeng Wang, Yongcheng Ding, Jianan Wang, Xi Chen • Entropy
(2020)
Geometric phases are used to construct quantum gates since it naturally resists local noises, acting as the modularized units of geometric quantum computing. Meanwhile, fast nonadiabatic geometric gates are required for reducing the informa...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e22101175
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
Zhihui Song, Xin Zhou, Jinchen Xu, Xiaodong Ding et al. • Scientific Reports
(2024)
Abstract In recent years, deep learning has been widely used in vulnerability detection with remarkable results. These studies often apply natural language processing (NLP) technologies due to the natural similarity between code and languag...
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Open Access (DOAJ)
DOI: 10.1038/s41598-024-63021-y
Anuththara Hettiarachchi, Amila Nuwan Senarathne, Kapila Dissanayaka • IEEE Access
(2026)
The rapid advancement of quantum computing, exemplified by Shor’s and Grover’s algorithms, poses an existential threat to the Rivest-Shamir-Adleman algorithm, elliptic curve cryptography, and symmetric encryption. This paper p...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3716526
Tanuwijaya Randy Stefan, Liang Hong, Xi Jiawei, Wong Wai Chun et al. • Nanophotonics
(2024)
Metasurfaces have recently opened up applications in the quantum regime, including quantum tomography and the generation of quantum entangled states. With their capability to store a vast amount of information by utilizing the various geome...
DOAJ
Open Access (DOAJ)
DOI: 10.1515/nanoph-2023-0844
Shihui Zhang, Zibo Miao, Yu Pan, Sibo Tao et al. • npj Quantum Information
(2025)
Abstract Achieving high-fidelity quantum gates is crucial for reliable quantum computing. However, decoherence and control pulse imperfections pose significant challenges in realizing the theoretical fidelity of quantum gates in practical s...
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Open Access (DOAJ)
DOI: 10.1038/s41534-025-01034-9
Peter Nimbe, Benjamin Asubam Weyori, Adebayo Felix Adekoya • Quantum Information Processing
(2021)
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DOI: https://doi.org/10.1007/s11128-021-03021-3
Andrew J. Daley, Martin M. Boyd, Jun Ye, P. Zoller • Physical Review Letters
(2008)
We present a complete scheme for quantum information processing using the unique features of alkaline-earth-metal atoms. We show how two completely independent lattices can be formed for the 1S0 and 3P0 states, with one used as a storage la...
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Open Access
DOI: https://doi.org/10.1103/physrevlett.101.170504
Vikas Hassija, Vinay Chamola, Adit Goyal, Salil S. Kanhere et al. • IET Quantum Communication
(2020)
We all have been using classical computers for a long time. Quantum computing uses the phenomena of quantum mechanics like superposition and entanglement. Quantum computations can help achieve for the breakthroughs we have been looking for ...
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cc-by-nc
DOI: https://doi.org/10.1049/iet-qtc.2020.0026
P. M. Platzman, M. I. Dykman • Science
(1999)
A quasi-two-dimensional set of electrons (1 < N < 10(9)) in vacuum, trapped in one-dimensional hydrogenic levels above a micrometer-thick film of liquid helium, is proposed as an easily manipulated strongly interacting set of quantum bits. ...
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DOI: https://doi.org/10.1126/science.284.5422.1967
С.П. Євсєєв, С.С. Погасій, В.С. Хвостенко • Системи обробки інформації
(2021)
The development of computing technologies has made it possible not only to expand the range of mobile communication services, but also to significantly increase computing capabilities. The emergence of mobile Internet, 4G, 5G technologies m...
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Open Access (DOAJ)
DOI: 10.30748/soi.2021.166.03
Jieshan Huang, Xudong Li, Xiaojiong Chen, Chonghao Zhai et al. • Nature Communications
(2024)
Abstract Complex entangled states are the key resources for measurement-based quantum computations, which is realised by performing a sequence of measurements on initially entangled qubits. Executable quantum algorithms in the graph-state q...
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Open Access (DOAJ)
DOI: 10.1038/s41467-024-46830-7
Tomoki KANDA, Hiroshi YABUNO • Mechanical Engineering Journal
(2026)
In quantum information processing, control of quantum entanglement is of central importance, particularly for applications in quantum computing. One established method for generating entanglement is squeezing, which exploits the uncertainty...
DOAJ
Open Access (DOAJ)
DOI: 10.1299/mej.26-00260
Hocheol Lim, Hyeon-Nae Jeon, June-Koo Rhee, Byungdu Oh et al. • Scientific Reports
(2022)
Abstract Quantum computing is expected to play an important role in solving the problem of huge computational costs in various applications by utilizing the collective properties of quantum states, including superposition, interference, and...
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Open Access (DOAJ)
DOI: 10.1038/s41598-022-11537-6
Thomas Spriggs, Arash Ahmadi, Bokai Chen, Eliska Greplova • Machine Learning: Science and Technology
(2025)
Variational techniques have long been at the heart of atomic, solid-state, and many-body physics. They have recently extended to quantum and classical machine learning, providing a basis for representing quantum states via neural networks. ...
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Open Access (DOAJ)
DOI: 10.1088/2632-2153/adaca2
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/2053-1591/acebba