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Quantum Computing

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...

OPENALEX cc-by DOI: https://doi.org/10.5281/zenodo.20696699

Fundus imaging based quantum computing: Grading of severity of vision threatening diabetic retinopathy

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...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.imu.2026.101744

Quantum Circuit for Imputation of Missing Data

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...

DOAJ Open Access (DOAJ) DOI: 10.1109/TQE.2024.3447875

Practical Quantum Computing

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...

OPENALEX Open Access DOI: https://doi.org/10.1145/3430030

QUANTUM COMPUTING

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...

OPENALEX Open Access DOI: https://doi.org/10.47716/978-93-92090-62-2

Compact Quantum Circuit Design of PUFFIN and PRINT Lightweight Ciphers for Quantum Key Recovery Attack

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

Meta-learning assisted robust control of universal quantum gates with uncertainties

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

Demonstration of quantum volume 64 on a superconducting quantum computing system

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...

OPENALEX cc-by DOI: https://doi.org/10.1088/2058-9565/abe519

Quantum Computing in Machine Learning - The Future of Quantum Computing

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...

OPENALEX Open Access DOI: https://doi.org/10.48175/ijarsct-15955

Approaching quantum computing

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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The engineering challenges in quantum computing

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...

OPENALEX DOI: https://doi.org/10.23919/date.2017.7927104

Evidence for the utility of quantum computing before fault tolerance

Young‐Seok Kim, Andrew Eddins, Sajant Anand, Ken Xuan Wei et al. • Nature (2023)

Abstract Quantum computing promises to offer substantial speed-ups over its classical counterpart for certain problems. However, the greatest impediment to realizing its full potential is noise that is inherent to these systems. The widely ...

OPENALEX cc-by DOI: https://doi.org/10.1038/s41586-023-06096-3 PMC: 10266970

Quantum Computing in the NISQ era and beyond

John P. Preskill • Quantum (2018)

Noisy Intermediate-Scale Quantum (NISQ) technology will be available in the near future. Quantum computers with 50-100 qubits may be able to perform tasks which surpass the capabilities of today's classical digital computers, but noise in q...

OPENALEX cc-by DOI: https://doi.org/10.22331/q-2018-08-06-79

On the Challenges of Quantum Circuit Encoding Using Deep and Reinforcement Learning

Patrick Selig, Niall Murphy, David Redmond, Simon Caton • IEEE Access (2025)

Quantum computers may solve some computing tasks more efficiently than classical com- puters, but to do so requires the design of appropriate quantum circuits. However, it is hard to design even simple quantum programs. Recent results have ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3564392

Expressibility and trainability of parametrized analog quantum systems for machine learning applications

Jirawat Tangpanitanon, Supanut Thanasilp, Ninnat Dangniam, Marc-Antoine Lemonde et al. • Physical Review Research (2020)

Parametrized quantum evolution is the main ingredient in variational quantum algorithms for near-term quantum devices. In digital quantum computing, it has been shown that random parametrized quantum circuits are able to express complex dis...

DOAJ Open Access (DOAJ) DOI: 10.1103/PhysRevResearch.2.043364