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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
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...
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Open Access (DOAJ)
DOI: 10.3390/e22101175
Meng‐Cheng Yen, Yung‐Chi Yao, Chia‐Jung Lee, Shi‐Hui Huang et al. • Advanced Science
(2025)
Abstract This study demonstrates that optical absorption of the CsPbBr3 quantum dots can be significantly enhanced through monolithic integration with the Tamm plasmon (TP) structure. This integration enables the resulting TP photodetector ...
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Open Access (DOAJ)
DOI: 10.1002/advs.202503464
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
Anup Basnet Chetry, Keisuke Ohto • Journal of Cheminformatics
(2025)
Abstract Chemoinformatics is a rapidly advancing field that integrates chemistry, computer science, and data analysis to enhance the study and application of chemical systems. This interdisciplinary approach leverages computational tools an...
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Open Access (DOAJ)
DOI: 10.1186/s13321-025-00978-6
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...
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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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DOI: 10.1038/s41534-025-01034-9
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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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
Himanshu Sahu, Kallol Sen • Scientific Reports
(2024)
Abstract In quantum computing, the quantum walk search algorithm is designed for locating fixed marked nodes within a graph. However, when multiple marked nodes exist, the conventional search algorithm lacks the capacity to simultaneously a...
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Open Access (DOAJ)
DOI: 10.1038/s41598-024-51709-0
Jonte R Hance • Journal of Physics Communications
(2024)
We show that the ability to consider counterfactual situations is a necessary assumption of Bell’s theorem, and that, to allow Bell inequality violations while maintaining all other assumptions, we just require certain measurement choices b...
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Open Access (DOAJ)
DOI: 10.1088/2399-6528/ad9b6d
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
Kuldeep Singh Kaswan, Jagjit Singh Dhatterwal, Anupam Baliyan, Shalli Rani • Wiley eBooks
(2023)
QUANTUM COMPUTING A helpful introduction to all aspects of quantum computing Quantum computing is a field combining quantum mechanics—the physical science of nature at the scale of atoms and subatomic particles—and information science. Wher...
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DOI: https://doi.org/10.1002/9781394157846
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
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
Eric C. Rowell, Zhenghan Wang • Bulletin of the American Mathematical Society
(2018)
In topological quantum computing, information is encoded in “knotted” quantum states of topological phases of matter, thus being locked into topology to prevent decay. Topological precision has been confirmed in quantum Hall liquids by expe...
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Open Access
DOI: https://doi.org/10.1090/bull/1605
R Vinutha, V Haripriya • International Journal of Advanced Research in Science Communication and Technology
(2024)
In order to solve challenging optimization issues, analyze data effectively, and improve the capabilities of current machine learning algorithms, quantum computing has the potential to revolutionize the area of machine learning. The propose...
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Open Access
DOI: https://doi.org/10.48175/ijarsct-15955
Mandeep Singh, Albert H. Carlson • The Cyber Defense Review
(2024)
Winning is much easier if you have an edge, whether that be better personnel, strategy, and/or technology. Quantum Information Science (QIS) - which includes quantum sensing, networking, communications, and computing - provides a technology...
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Open Access (DOAJ)
DOI: 10.55682/cdr/1t1j-9naj
Shuai-Peng Wang, Alberto Mercurio, Alessandro Ridolfo, Yuqing Wang et al. • Nature Communications
(2025)
Abstract The realization of strong nonlinear coupling between single photons has been a long-standing goal in quantum optics and quantum information science, promising wide impact applications, such as all-optical deterministic quantum logi...
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Open Access (DOAJ)
DOI: 10.1038/s41467-025-63783-7
Gabriele Amante, Judit E. Sponer, Jiri Sponer, Franz Saija et al. • Entropy
(2022)
The search for the chemical origins of life represents a long-standing and continuously debated enigma. Despite its exceptional complexity, in the last decades the field has experienced a revival, also owing to the exponential growth of the...
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Open Access (DOAJ)
DOI: 10.3390/e24081012