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Academic Articles & Research Papers
Showing 20 of 34 academic articles
Javier Osca, Jiri Vala • SoftwareX
(2024)
Stochastic Optical Quantum Circuit Simulator (SOQCS) is a C++ and Python library which offers a framework to define, simulate and study quantum linear optical circuits in presence of various imperfections typically encountered in experiment...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.softx.2023.101603
Mr. M. Rajeshkumar Dr. R. Mariappan Mr. E.Janakiraman • Zenodo (CERN European Organization for Nuclear Research)
(2026)
Quantum Computing The twenty-first century has witnessed remarkable advancements in computing technologies, transforming every aspect of modern society. As conventional computing systems approach their physical and computational limits, the...
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DOI: https://doi.org/10.5281/zenodo.20696699
Mochamad Wahyudi, Solikhun Solikhun • Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
(2023)
The creation of quantum circuit architecture based on the quantum perceptron algorithm to classify marketing bank data is proposed in this work. A quantum circuit is a quantum gate made up of two quantum gates. Quantum bits are used in this...
DOAJ
Open Access (DOAJ)
DOI: 10.29207/resti.v7i1.4526
Amna Ikram, Azhar Imran • Informatics in Medicine Unlocked
(2026)
Diabetic Retinopathy (DR) is a major complication of diabetes that can result in irreversible vision loss if not detected early. Manual ophthalmologic screening is time-consuming and subject to subjectivity, underscoring the need for accura...
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Open Access (DOAJ)
DOI: 10.1016/j.imu.2026.101744
Ruizhe Zhang, Guoming Wang, Peter Johnson • Quantum
(2022)
Significant effort in applied quantum computing has been devoted to the problem of ground state energy estimation for molecules and materials. Yet, for many applications of practical value, additional properties of the ground state must be ...
DOAJ
Open Access (DOAJ)
DOI: 10.22331/q-2022-07-11-761
Claudio Sanavio, Simone Tibaldi, Edoardo Tignone, Elisa Ercolessi • IEEE Transactions on Quantum Engineering
(2024)
The imputation of missing data is a common procedure in data analysis that consists in predicting missing values of incomplete data points. In this work, we analyze a variational quantum circuit for the imputation of missing data. We constr...
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Open Access (DOAJ)
DOI: 10.1109/TQE.2024.3447875
Adrien Suau, Gabriel Staffelbach, Henri Calandra • ACM Transactions on Quantum Computing
(2021)
In the last few years, several quantum algorithms that try to address the problem of partial differential equation solving have been devised: on the one hand, “direct” quantum algorithms that aim at encoding the solution of the PDE by execu...
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Open Access
DOI: https://doi.org/10.1145/3430030
M. S. Godwin Premi, D. Susitra, Suja Cherukullapurath Mana, Ms. R. Velvizhi et al. (2025)
Quantum Computing represents a paradigm shift in computation, leveraging the principles of quantum mechanics to solve problems intractable for classical computers. This book provides a comprehensive exploration of quantum computing, encompa...
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Open Access
DOI: https://doi.org/10.47716/978-93-92090-62-2
Yong Kwon, Martino Bernard, Leonardo Limongi, Gioele Piccoli et al. • IEEE Access
(2024)
A software platform for quantum computing is required to run a complex algorithm on a real quantum device through automatically converting a quantum circuit level algorithm to a control sequence of target device. Moreover, the software plat...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3474014
Saravanan Paramasivam, J. Jenitha, S. Sanjana, Majid Haghparast • IEEE Access
(2023)
Quantum computing plays a vital role in the next generation computing platforms as researchers have achieved quantum supremacy by proving that quantum computers can outperform classical computers. These high performance computers will pose ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3289764
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
Chen Zhao, Xiao-Shan Gao • Quantum
(2021)
In this paper, we propose a general scheme to analyze the gradient vanishing phenomenon, also known as the barren plateau phenomenon, in training quantum neural networks with the ZX-calculus. More precisely, we extend the barren plateaus th...
DOAJ
Open Access (DOAJ)
DOI: 10.22331/q-2021-06-04-466
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41534-025-01034-9
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-024-51709-0
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
Petar Jurcevic • Zenodo (CERN European Organization for Nuclear Research)
(2022)
Abstract We improve the quality of quantum circuits on superconducting quantum computing systems, as measured by the quantum volume (QV), with a combination of dynamical decoupling, compiler optimizations, shorter two-qubit gates, and excit...
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DOI: https://doi.org/10.1088/2058-9565/abe519
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
John P T Stenger, C Stephen Hellberg, Daniel Gunlycke • New Journal of Physics
(2026)
We propose a hybrid variational quantum algorithm that has variational parameters used by both the quantum circuit and the subsequent classical optimization. Similar to the variational quantum eigensolver, this algorithm applies a parameter...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/1367-2630/aea2ba
Dan Cristian Marinescu, Gabriela M. Marinescu (2005)
1 Preface 2 Introduction 2.1 Computing and the Laws of Physics 2.2 Quantum Information 2.3 Quantum Computers 2.4 The Wave and the Corpuscular Nature of Light 2.5 Deterministic versus Probabilistic Photon Behavior 2.6 State Description, Supe...
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Carmen G. Almudéver, Lingling Lao, Xiang Fu, Nader Khammassi et al. • Design, Automation, and Test in Europe
(2017)
Quantum computers may revolutionize the field of computation by solving some complex problems that are intractable even for the most powerful current supercomputers. This paper first introduces the basic concepts of quantum computing and de...
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DOI: https://doi.org/10.23919/date.2017.7927104