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Academic Articles & Research Papers
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Nagwan Alqershi, Nagwan Alqershi, Ramayah Thurasamy, Ramayah Thurasamy et al. • Frontiers in Complex Systems
(2026)
This paper develops a dynamic framework for analyzing markets in which decision-making is increasingly delegated to adaptive algorithms. In contrast to classical approaches that treat equilibrium as the primitive object of analysis, the fra...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fcpxs.2026.1819789
Shriyank Somvanshi, Md Monzurul Islam, Sazzad Bin Bashar Polock, Gaurab Chhetri et al. • IEEE Transactions on Intelligent Transportation Systems
(2026)
Quantum computing introduces new computational methods that address complex optimization and machine learning challenges in transportation engineering. This literature survey reviews fundamental quantum principles, including qubits, superpo...
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Open Access
DOI: https://doi.org/10.1109/tits.2026.3662626
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....
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fphy.2021.546538
Pauline J. Ollitrault, Alexander Miessen, Ivano Tavernelli • Accounts of Chemical Research
(2021)
ConspectusSimulating molecular dynamics (MD) within a comprehensive quantum framework has been a long-standing challenge in computational chemistry. An exponential scaling of computational cost renders solving the time dependent Schrödinger...
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cc-by-nc-nd
DOI: https://doi.org/10.1021/acs.accounts.1c00514
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
Yudong Cao, Jonathan Romero, Alán Aspuru‐Guzik • IBM Journal of Research and Development
(2018)
Quantum computing has rapidly advanced in recent years due to substantial development in both hardware and algorithms. These advances are carrying quantum computers closer to their impending commercial utility. Drug discovery is a promising...
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DOI: https://doi.org/10.1147/jrd.2018.2888987
Carlos Gershenson, Carlos Gershenson, Carlos Gershenson • Frontiers in Robotics and AI
(2020)
Self-organization offers a promising approach for designing adaptive systems. Given the inherent complexity of most cyber-physical systems, adaptivity is desired, as predictability is limited. Here I summarize different concepts and approac...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frobt.2020.00041
Anindya Gupta, Philip John Harrison, Håkan Wieslander, Nicolas Pielawski et al. • Cytometry Part A
(2018)
Artificial intelligence, deep convolutional neural networks, and deep learning are all niche terms that are increasingly appearing in scientific presentations as well as in the general media. In this review, we focus on deep learning and ho...
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cc-by-nc
DOI: https://doi.org/10.1002/cyto.a.23701
PMC: 6590257
Ji Su Hwang, Seok Gi Kim, Tae Hwan Shin, Yong Eun Jang et al. • Pharmaceutics
(2022)
Cancer is a group of diseases causing abnormal cell growth, altering the genome, and invading or spreading to other parts of the body. Among therapeutic peptide drugs, anticancer peptides (ACPs) have been considered to target and kill cance...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/pharmaceutics14050997
Semonti Banik, Sajal Chandra Banik, Sarker Safat Mahmud • Engineering Reports
(2025)
ABSTRACT The essential factor in developing multi‐robot systems is the generation of an optimal path for task completion by multiple robots. To ensure effective path planning, this paper studies the recent publications and provides a detail...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/eng2.13035