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Showing 20 of 1,215 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
Xiangyu Li, Xiaolong Yin, Nathan Wiebe, Jaehun Chun et al. • Physical Review Research
(2025)
Numerical simulation of turbulent fluid dynamics needs to either parametrize turbulence—which introduces large uncertainties—or explicitly resolve the smallest scales—which is prohibitively expensive. Here, we provide evidence through analy...
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Open Access (DOAJ)
DOI: 10.1103/PhysRevResearch.7.013036
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
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
Jun Yang, James Brown, James Daniel Whitfield • Frontiers in Physics
(2021)
Quantum algorithms are touted as a way around some classically intractable problems such as the simulation of quantum mechanics. At the end of all quantum algorithms is a quantum measurement whereby classical data is extracted and utilized....
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Open Access (DOAJ)
DOI: 10.3389/fphy.2021.546538
Pauline J. Ollitrault, Alexander Miessen, Ivano Tavernelli • Accounts of Chemical Research
(2021)
ConspectusSimulating molecular dynamics (MD) within a comprehensive quantum framework has been a long-standing challenge in computational chemistry. An exponential scaling of computational cost renders solving the time dependent Schrödinger...
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DOI: https://doi.org/10.1021/acs.accounts.1c00514
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
Siddhartha Kasivajhula • ACM Southeast Regional Conference (ACMSE)
(2006)
Computers today become faster by becoming smaller. By reducing the size of transistors, engineers are able to fit more of them on a given size microprocessor, thus increasing the processor's computational power. This process cannot continue...
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DOI: https://doi.org/10.1145/1185448.1185504
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
Eugene Dumitrescu, Alex McCaskey, G. Hagen, G. R. Jansen et al. • Physical Review Letters
(2018)
We report a quantum simulation of the deuteron binding energy on quantum processors accessed via cloud servers. We use a Hamiltonian from pionless effective field theory at leading order. We design a low-depth version of the unitary coupled...
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Open Access
DOI: https://doi.org/10.1103/physrevlett.120.210501
Babinkostova Liljana, Chin Ariana, Kirtland Aaron, Nazarchuk Vladyslav et al. • Journal of Mathematical Cryptology
(2022)
As quantum computing advances rapidly, guaranteeing the security of cryptographic protocols resistant to quantum attacks is paramount. Some leading candidate cryptosystems use the learning with errors (LWE) problem, attractive for its simpl...
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Open Access (DOAJ)
DOI: 10.1515/jmc-2020-0035
Akhil Chintalapati, Khashbat Enkhbat, Ramanathan Annamalai, Geraldine Bessie Amali et al. • Quantum Reports
(2025)
In the evolving digital landscape, the pervasive influence of artificial intelligence (AI) on social media platforms reveals a compelling paradox: the capability to provide personalized experiences juxtaposed with inherent biases reminiscen...
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Open Access (DOAJ)
DOI: 10.3390/quantum7030036
YU Xuan,LU Xin,XI Jun,SHAO Peinan • Jisuanji gongcheng
(2018)
Superconducting quantum computers have the advantages of mature chip processing technology,high system integration,and good scalability.However,superconducting quantum computing needs to increase the quantum integration of chips and ensure ...
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Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0051917
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
Louis Tessler, Tim Byrnes • arXiv (Cornell University)
(2017)
Bitcoin is a digital currency and payment system based on classical cryptographic technologies which works without a central administrator such as in traditional currencies. It has long been questioned what the impact of quantum computing w...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1711.04235
Scott Aaronson • Physical Review A
(2005)
This paper initiates the study of hidden variables from a quantum computing perspective. For us, a hidden-variable theory is simply a way to convert a unitary matrix that maps one quantum state to another into a stochastic matrix that maps ...
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Open Access
DOI: https://doi.org/10.1103/physreva.71.032325
Vasil S. Denchev, Gopal Pandurangan • ACM SIGACT News
(2008)
Quantum computing and distributed systems may enter a mutually beneficial partnership in the future. On the one hand, it is much easier to build a number of small quantum computers rather than a single large one. On the other hand, the best...
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DOI: https://doi.org/10.1145/1412700.1412718