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Academic Articles & Research Papers
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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
Tuna Hacaloglu, Hassan Soubra, Pierre Bourque, Alain Abran • IEEE Access
(2026)
Rapid growth in quantum computing has created an urgent need to adapt traditional software engineering methodologies. Among these methodological challenges, software size measurement plays a central role in project estimation, quality assur...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3700957
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
Hiroomi Chono, Hayato Goto • APL Quantum
(2025)
Kerr parametric oscillators (KPOs), two-photon driven Kerr-nonlinear resonators, can stably hold coherent states with opposite-sign amplitudes and are promising devices for quantum computing. Recently, we have theoretically proposed a two-q...
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Open Access (DOAJ)
DOI: 10.1063/5.0241996
Adam Callison, Nicholas Chancellor, Florian Mintert, Viv Kendon • New Journal of Physics
(2019)
Quantum computation using continuous-time evolution under a natural hardware Hamiltonian is a promising near- and mid-term direction toward powerful quantum computing hardware. We investigate the performance of continuous-time quantum walks...
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Open Access (DOAJ)
DOI: 10.1088/1367-2630/ab5ca2
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 ...
OPENALEX
Open Access
DOI: https://doi.org/10.1103/physreva.71.032325
Hongbin Liu, Guang Hao Low, Damian S. Steiger, Thomas Häner et al. • Materials Theory
(2022)
Abstract Molecular science is governed by the dynamics of electrons and atomic nuclei, and by their interactions with electromagnetic fields. A faithful physicochemical understanding of these processes is crucial for the design and synthesi...
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DOI: https://doi.org/10.1186/s41313-021-00039-z
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
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
Kyle Lee, Shuvro Chowdhury, Kerem Y. Camsari • Communications Physics
(2025)
Abstract Ising machines are hardware accelerators for combinatorial optimization and probabilistic sampling, using stochasticity to explore spin configurations and avoid local minima. We refine the previously proposed coupled chaotic bits (...
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Open Access (DOAJ)
DOI: 10.1038/s42005-025-01945-1
Carles Serrat, Montserrat Corbera, John Afa • Applied Sciences
(2015)
We present a numerical solution for complete population inversion in a four-level ladder system obtained by using a full π-pulse illumination scheme with resonant ultrashort phase-locked Gaussian laser pulses. We find that a set of pulse ar...
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Open Access (DOAJ)
DOI: 10.3390/app5041484
Ruofan Chen, Xiansong Xu, Chu Guo • New Journal of Physics
(2024)
Tensor-network-based methods are promising candidates to solve quantum impurity problems (QIP). They are free of sampling noises and the sign problem compared to state-of-the-art continuous-time quantum Monte Carlo methods. Recent progress ...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/1367-2630/ad19fa
Nikitas Stamatopoulos, Guglielmo Mazzola, Stefan Woerner, William J. Zeng • Quantum
(2022)
We introduce a quantum algorithm to compute the market risk of financial derivatives. Previous work has shown that quantum amplitude estimation can accelerate derivative pricing quadratically in the target error and we extend this to a quad...
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Open Access (DOAJ)
DOI: 10.22331/q-2022-07-20-770
Jr-Shin Li, Justin Ruths, Steffen J. Glaser • Nature Communications
(2017)
Coherent control of two-level systems is crucial for achieving fidelity in spectroscopy and quantum computing, but inherent nonlinearities and parameter variation have, to date, required an approximate, numerical approach. Here, Li et al. s...
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Open Access (DOAJ)
DOI: 10.1038/s41467-017-00441-7
Daniel Mills, Seyon Sivarajah, Travis L. Scholten, Ross Duncan • Quantum
(2021)
Quantum computing systems need to be benchmarked in terms of practical tasks they would be expected to do. Here, we propose 3 "application-motivated" circuit classes for benchmarking: deep (relevant for state preparation in the variational ...
DOAJ
Open Access (DOAJ)
DOI: 10.22331/q-2021-03-22-415
Andrew S. Glassner • IEEE Computer Graphics and Applications
(2001)
For part 2, see ibid., September/October (2001). Every now and then surprising new theories appear on the scientific stage that hold the promise of dramatic new technologies. Quantum computing is one of these. The ideas in this field radica...
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DOI: https://doi.org/10.1109/38.969611
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...
OPENALEX
DOI: https://doi.org/10.4018/979-8-3693-1168-4.ch006