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QUANTUM HOLONOMIES FOR QUANTUM COMPUTING

Jiannis K. Pachos, Paolo Zanardi • International Journal of Modern Physics B (2001)

Holonomic Quantum Computation (HQC) is an all-geometrical approach to quantum information processing. In the HQC strategy information is encoded in degenerate eigen-spaces of a parametric family of Hamiltonians. The computational network of...

OPENALEX Open Access DOI: https://doi.org/10.1142/s0217979201004836

Quantum computing with graphene plasmons

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...

OPENALEX cc-by DOI: https://doi.org/10.1038/s41534-019-0150-2

Dynamical description of quantum computing: Generic nonlocality of quantum noise

Robert Alicki, Michał Horodecki, Paweł Horodecki, Ryszard Horodecki • Physical Review A (2002)

We develop a dynamical non-Markovian description of quantum computing in the weak-coupling limit, in the lowest-order approximation. We show that the long-range memory of the quantum reservoir (such as the ${1/t}^{4}$ one exhibited by elect...

OPENALEX Open Access DOI: https://doi.org/10.1103/physreva.65.062101

Large-scale quantum reservoir computing using a Gaussian Boson Sampler

Valeria Cimini, Mandar M. Sohoni, Federico Presutti, Benjamin K. Malia et al. • npj Quantum Information (2026)

Abstract A Gaussian boson sampler (GBS) is a special-purpose quantum computer that can be practically realized at a large scale in optics. Here we report on experiments in which we used a frequency-multiplexed GBS with > 400 modes as a quan...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41534-026-01251-w

Recurrent quantum embedding neural network and its application in vulnerability detection

Zhihui Song, Xin Zhou, Jinchen Xu, Xiaodong Ding et al. • Scientific Reports (2024)

Abstract In recent years, deep learning has been widely used in vulnerability detection with remarkable results. These studies often apply natural language processing (NLP) technologies due to the natural similarity between code and languag...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-024-63021-y

Quantum Paradox: Redefining Secure Communication With Quantum and Post-Quantum Cryptographic Breakthroughs

Anuththara Hettiarachchi, Amila Nuwan Senarathne, Kapila Dissanayaka • IEEE Access (2026)

The rapid advancement of quantum computing, exemplified by Shor’s and Grover’s algorithms, poses an existential threat to the Rivest-Shamir-Adleman algorithm, elliptic curve cryptography, and symmetric encryption. This paper p...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2026.3716526

Metasurface for programmable quantum algorithms with classical and quantum light

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...

DOAJ Open Access (DOAJ) DOI: 10.1515/nanoph-2023-0844

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

Quantum Computing with Alkaline-Earth-Metal Atoms

Andrew J. Daley, Martin M. Boyd, Jun Ye, P. Zoller • Physical Review Letters (2008)

We present a complete scheme for quantum information processing using the unique features of alkaline-earth-metal atoms. We show how two completely independent lattices can be formed for the 1S0 and 3P0 states, with one used as a storage la...

OPENALEX Open Access DOI: https://doi.org/10.1103/physrevlett.101.170504

Forthcoming applications of quantum computing: peeking into the future

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 ...

OPENALEX cc-by-nc DOI: https://doi.org/10.1049/iet-qtc.2020.0026

Development of a protocol for a closed mobile internet channel based on post-quantum algorithms

С.П. Євсєєв, С.С. Погасій, В.С. Хвостенко • Системи обробки інформації (2021)

The development of computing technologies has made it possible not only to expand the range of mobile communication services, but also to significantly increase computing capabilities. The emergence of mobile Internet, 4G, 5G technologies m...

DOAJ Open Access (DOAJ) DOI: 10.30748/soi.2021.166.03

Effect of Duffing nonlinearity on squeezing in a classical parametric amplifier in the unstable regime

Tomoki KANDA, Hiroshi YABUNO • Mechanical Engineering Journal (2026)

In quantum information processing, control of quantum entanglement is of central importance, particularly for applications in quantum computing. One established method for generating entanglement is squeezing, which exploits the uncertainty...

DOAJ Open Access (DOAJ) DOI: 10.1299/mej.26-00260

Quantum computational study of chloride attack on chloromethane for chemical accuracy and quantum noise effects with UCCSD and k-UpCCGSD ansatzes

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...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-022-11537-6

Quantum resources of quantum and classical variational methods

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. ...

DOAJ Open Access (DOAJ) DOI: 10.1088/2632-2153/adaca2

Dissipation and irreversibility in computing

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...

DOAJ Open Access (DOAJ) DOI: 10.1088/2053-1591/acebba