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Showing 20 of 1,495 academic articles
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
Zihni Kaan Baykara, Daniel Robbins, Savdeep Sethi • SciPost Physics
(2023)
We construct non-supersymmetric $AdS_3$ solutions of the $\mathrm O(16)× \mathrm O(16)$ heterotic string. Most of the backgrounds have a classical worldsheet definition but are quantum string vacua in the sense that string loop corrections ...
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Open Access (DOAJ)
DOI: 10.21468/SciPostPhys.15.6.224
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
Kiran Kumar Amireddy, P. V. R. Ravindra Reddy, C. Nagendranatha Reddy, P. Prabhakar Reddy • Frontiers in Sensors
(2026)
This review critically discusses the development of continuous monitoring biosensors and the technological developments that have facilitated the transition from one-off or periodic measurement sensors to longer-term, connected and autonomo...
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Open Access (DOAJ)
DOI: 10.3389/fsens.2026.1968999
Raviraju Balappa D, Gautam Kumar Rajput • Shodh Sari
(2025)
Matrices are foundational to artificial intelligence (AI), serving as critical tools for data representation, manipulation, and transformation across various applications. From machine learning algorithms to neural network architectures, ma...
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Open Access (DOAJ)
DOI: https://doi.org/10.59231/SARI7840
Runze Li, Yibo Dong, Fengsong Qian, Yiyang Xie et al. • PhotoniX
(2023)
Abstract The rapid development of neuromorphic computing has stimulated extensive research interest in artificial synapses. Optoelectronic artificial synapses using laser beams as stimulus signals have the advantages of broadband, fast resp...
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Open Access (DOAJ)
DOI: 10.1186/s43074-023-00082-8
Haruto Fujii, Yasuaki Ito, Nobuya Yokogawa, Kanta Suzuki et al. • Applied Sciences
(2025)
Quantum chemistry offers the formal machinery to derive molecular and physical properties arising from (sub)atomic interactions. However, as molecules of practical interest are largely polyatomic, contemporary approximation schemes such as ...
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Open Access (DOAJ)
DOI: 10.3390/app15052572
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
Siva Subramanian R, B. Maheswari, T. Nithya, P. Girija et al. • Advances in computer and electrical engineering book series
(2024)
Quantum computing overcomes computer limitations using quantum mechanics. This overview covers quantum computing's basics, technology, architecture, and industrial applications. The introduction reveals quantum computing's unique history an...
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DOI: https://doi.org/10.4018/979-8-3693-1168-4.ch006
Cristian S. Calude, Michael J. Dinneen, Karl Svozil • Complexity
(2000)
In this rather speculative note three problems pertaining to the power and limits of quantum computing are posed and partially answered: (a) when are quantum speedups possible? (b) is fixed-point computing a better model for quantum computi...
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DOI: https://doi.org/10.1002/1099-0526(200009/10)6:1<35::aid-cplx1005>3.0.co;2-t
Md Habib Ullah, Rozhin Eskandarpour, Honghao Zheng, Amin Khodaei • IET Generation Transmission & Distribution
(2022)
Abstract Computational complexities in modern power systems are reportedly increasing daily, and it is anticipated that traditional computers might be inadequate to provide the computation prerequisite in future complex power grids. In that...
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DOI: https://doi.org/10.1049/gtd2.12602
Colin Bruzewicz, John Chiaverini, Robert McConnell, Jeremy Sage • Applied Physics Reviews
(2019)
Trapped ions are among the most promising systems for practical quantum computing (QC). The basic requirements for universal QC have all been demonstrated with ions, and quantum algorithms using few-ion-qubit systems have been implemented. ...
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Open Access
DOI: https://doi.org/10.1063/1.5088164
Mário Motta, Julia E. Rice • Wiley Interdisciplinary Reviews Computational Molecular Science
(2021)
Abstract Digital quantum computers provide a computational framework for solving the Schrödinger equation for a variety of many‐particle systems. Quantum computing algorithms for the quantum simulation of these systems have recently witness...
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Open Access
DOI: https://doi.org/10.1002/wcms.1580
Nathalie P. de Leon, Kohei M. Itoh, Dohun Kim, Karan K. Mehta et al. • Science
(2021)
Quantum computing hardware technologies have advanced during the past two decades, with the goal of building systems that can solve problems that are intractable on classical computers. The ability to realize large-scale systems depends on ...
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DOI: https://doi.org/10.1126/science.abb2823
David Barral, F. Javier Cardama, Guillermo Díaz-Camacho, Daniel Faílde et al. • Computer Science Review
(2025)
The emerging field of quantum computing has shown it might change how we process information by using the unique principles of quantum mechanics . As researchers continue to push the boundaries of quantum technologies to unprecedented level...
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DOI: https://doi.org/10.1016/j.cosrev.2025.100747
Daniel Bochen Tan, Jason Cong (2020)
Recent years have witnessed the fast development of quantum computing. Researchers around the world are eager to run larger and larger quantum algorithms that promise speedups impossible to any classical algorithm. However, the available qu...
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DOI: https://doi.org/10.1145/3400302.3415620
Carlos Outeiral, Martin Strahm, Jiye Shi, Garrett M. Morris et al. • Wiley Interdisciplinary Reviews Computational Molecular Science
(2020)
Abstract Quantum computers can in principle solve certain problems exponentially more quickly than their classical counterparts. We have not yet reached the advent of useful quantum computation, but when we do, it will affect nearly all sci...
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DOI: https://doi.org/10.1002/wcms.1481
Surya Teja Marella, Hemanth Sai Kumar Parisa • IntechOpen eBooks
(2020)
Quantum computing is a modern way of computing that is based on the science of quantum mechanics and its unbelievable phenomena. It is a beautiful combination of physics, mathematics, computer science and information theory. It provides hig...
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DOI: https://doi.org/10.5772/intechopen.94103
Jasmeet Singh, Mohit Singh • International Conference on System Modeling & Advancement in Research Trends (SMART)
(2016)
With the skyrocketing needs of rapid processing speed and miniaturization, classical computers are not able to keep up the pace with these few necessary parameters. As classical computers work on classical mechanics there expansion is at ze...
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DOI: https://doi.org/10.1109/sysmart.2016.7894533