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The polynomial learning with errors problem and the smearing condition

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...

DOAJ Open Access (DOAJ) DOI: 10.1515/jmc-2020-0035

Quantum-Enhanced Algorithmic Fairness and the Advancement of AI Integrity and Responsibility

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...

DOAJ Open Access (DOAJ) DOI: 10.3390/quantum7030036

Functional Matrices on Quantum Computing Simulation

Hernán Indíbil de la Cruz Calvo, Fernando Cuartero Gómez, José Javier Paulet González, Mauro Mezzini et al. • Mathematics (2023)

In simulating Quantum Computing by using the circuit model the size of the matrices to deal with, together with the number of products and additions required to apply every quantum gate becomes a really hard computational restriction. This ...

DOAJ Open Access (DOAJ) DOI: 10.3390/math11173742

Quantum Software Size: What Do We Measure, How and Why? A Systematic Literature Review

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...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2026.3700957

Continuous monitoring biosensors for advanced healthcare and environmental applications: challenges, material innovations and future directions

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...

DOAJ Open Access (DOAJ) DOI: 10.3389/fsens.2026.1968999

Quantum Security in Cyber Risk Analysis Through Fuzzy Analytic Hierarchy Process

Mahfooz Ahmad, Eram Fatima, Ankit Shukla, Neeta Bhusal et al. • Journal of Information Security and Cybercrimes Research (2024)

Quantum security is an evolving field that leverages principles of quantum physics to strengthen computing systems. Core concepts such as superposition and entanglement are foundation to this domain. However, current systems face significan...

DOAJ Open Access (DOAJ) DOI: 10.26735/FWSL8668

The Role and Application of Matrices in Artificial Intelligence: Foundations, Methods, and Advancements

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...

DOAJ Open Access (DOAJ) DOI: https://doi.org/10.59231/SARI7840

Bitcoin and quantum computing

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...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1711.04235

Quantum computing and hidden variables

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

Distributed quantum computing

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...

OPENALEX DOI: https://doi.org/10.1145/1412700.1412718

Quantum Computing and AI: Impacts & Possibilities

Bhupesh Rawat, Nidhi Mehra, Ankur Singh Bist, Muhamad Yusup et al. • ADI Journal on Recent Innovation (AJRI) (2022)

Quantum computing is one of the emerging technologies. Different communities and research organizations are working to bring quantum computing applications into reality. Artificial Intelligence is another emerging area and getting stable wi...

OPENALEX cc-by-nc-sa DOI: https://doi.org/10.34306/ajri.v3i2.656

Compiler Design for Distributed Quantum Computing

Davide Ferrari, Angela Sara Cacciapuoti, Michele Amoretti, Marcello Caleffi • IEEE Transactions on Quantum Engineering (2021)

In distributed quantum computing architectures, with the network and communications functionalities provided by the Quantum Internet, remote quantum processing units can communicate and cooperate for executing computational tasks that singl...

OPENALEX cc-by DOI: https://doi.org/10.1109/tqe.2021.3053921

CsPbBr3/graphene nanowall artificial optoelectronic synapses for controllable perceptual learning

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...

DOAJ Open Access (DOAJ) DOI: 10.1186/s43074-023-00082-8

Efficient GPU Implementation of the McMurchie–Davidson Method for Shell-Based ERI Computations

Haruto Fujii, Yasuaki Ito, Nobuya Yokogawa, Kanta Suzuki et al. • Applied Sciences (2025)

Quantum chemistry offers the formal machinery to derive molecular and physical properties arising from (sub)atomic interactions. However, as molecules of practical interest are largely polyatomic, contemporary approximation schemes such as ...

DOAJ Open Access (DOAJ) DOI: 10.3390/app15052572

Post-quantum distributed ledger technology: a systematic survey

Nikhil Kumar Parida, Chandrashekar Jatoth, V. Dinesh Reddy, Md. Muzakkir Hussain et al. • Scientific Reports (2023)

Abstract Blockchain technology finds widespread application across various fields due to its key features such as immutability, reduced costs, decentralization, and transparency. The security of blockchain relies on elements like hashing, d...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-023-47331-1

Molecular characterization and prognostic modeling associated with M2-like tumor-associated macrophages in breast cancer: revealing the immunosuppressive role of DLG3

Ziqiang Wang, Jing Zhang, Huili Chen, Xinyu Zhang et al. • Frontiers in Immunology (2025)

BackgroundM2-like tumor-associated macrophages (TAMs) promote an immunosuppressive microenvironment and contribute to tumor progression and metastasis. However, their molecular characterization and prognostic value have not been fully explo...

DOAJ Open Access (DOAJ) DOI: 10.3389/fimmu.2025.1650726

Towards Quantum Advantage in Financial Market Risk using Quantum Gradient Algorithms

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...

DOAJ Open Access (DOAJ) DOI: 10.22331/q-2022-07-20-770