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Academic Articles & Research Papers
Showing 20 of 523 academic articles
Yao Yao, David Howard, Perla Maiolino • Advanced Intelligent Systems
(2026)
Task‐driven design of soft robots requires models that are physically accurate and computationally efficient, while remaining transferable across actuator designs and task scenarios. However, existing modeling approaches typically face a fu...
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Open Access (DOAJ)
DOI: 10.1002/aisy.70406
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
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...
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Open Access (DOAJ)
DOI: 10.1109/TQE.2024.3447875
Atiye Zeynali, Zahra Bakhshi • Scientific Reports
(2026)
Abstract Simulating open quantum system dynamics via exact density-matrix propagation faces exponential complexity, scaling as $$\mathcal{O}(4^n)$$ and becoming intractable beyond approximately 15 chromophores on classical hardware—despite ...
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Open Access (DOAJ)
DOI: 10.1038/s41598-026-60704-6
Muhammad Ismail, Chandreswar Mahata, Myounggon Kang, Sungjun Kim • Nanoscale Research Letters
(2022)
Abstract For neuromorphic computing and high-density data storage memory, memristive devices have recently gained a lot of interest. So far, memristive devices have suffered from switching parameter instability, such as distortions in resis...
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Open Access (DOAJ)
DOI: 10.1186/s11671-022-03699-z
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...
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Open Access
DOI: https://doi.org/10.1145/3430030
Matej Komelj, Vinko Sršan, Kristina Žužek, Sašo Šturm • Physical Review Research
(2025)
We diagonalize the quantum two-dimensional spin-1/2 Heisenberg model with Dzyaloshinsky-Moriya interaction (DMI) by applying the variational quantum eigensolver, running on a quantum-computer simulator, which turns out to be a more efficien...
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Open Access (DOAJ)
DOI: 10.1103/lq2d-s6zm
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. ...
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Open Access (DOAJ)
DOI: 10.1088/2632-2153/adaca2
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
Eugene Dumitrescu, Alex McCaskey, G. Hagen, G. R. Jansen et al. • Physical Review Letters
(2018)
We report a quantum simulation of the deuteron binding energy on quantum processors accessed via cloud servers. We use a Hamiltonian from pionless effective field theory at leading order. We design a low-depth version of the unitary coupled...
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Open Access
DOI: https://doi.org/10.1103/physrevlett.120.210501
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
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...
DOAJ
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
Karl Woldum Tordrup, Antonio Negretti, Klaus Mølmer • Physical Review Letters
(2008)
We propose to use a single mesoscopic ensemble of trapped polar molecules for quantum computing. A "holographic quantum register" with hundreds of qubits is encoded in collective excitations with definite spatial phase variations. Each phas...
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Open Access
DOI: https://doi.org/10.1103/physrevlett.101.040501
Abhinav Anand, Philipp Schleich, Sumner Alperin-Lea, Phillip W. K. Jensen et al. • Chemical Society Reviews
(2022)
We present a review of the Unitary Coupled Cluster (UCC) ansatz and related ansätze which are used to variationally solve the electronic structure problem on quantum computers. A brief history of coupled cluster (CC) methods is provided, fo...
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Open Access
DOI: https://doi.org/10.1039/d1cs00932j
Gilles Brassard, Isaac L. Chuang, Seth Lloyd, Christopher R. Monroe • Proceedings of the National Academy of Sciences
(1998)
Fast, low-cost, accurate detection of time-resolved dynamic nucleic acid conformational variation in response to small molecule binding: 1) enriches our understanding of nucleic acid structure, and regulation of structure by small molecules...
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Open Access
DOI: https://doi.org/10.1073/pnas.95.19.11032
PMC: 33891
Mohammad S. Jalali, Jessica Kaiser • Journal of Medical Internet Research
(2018)
BACKGROUND: Cybersecurity incidents are a growing threat to the health care industry in general and hospitals in particular. The health care industry has lagged behind other industries in protecting its main stakeholder (ie, patients), and ...
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cc-by
DOI: https://doi.org/10.2139/ssrn.3100364
PMC: 5996174
Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra • arXiv (Cornell University)
(2015)
We introduce a new, efficient, principled and backpropagation-compatible algorithm for learning a probability distribution on the weights of a neural network, called Bayes by Backprop. It regularises the weights by minimising a compression ...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1505.05424
Pooja Jain, Makarand Chintamani Deo • Ships and Offshore Structures
(2005)
The soft computing technique of neural network is being extensively used across all disciplines of ocean engineering, namely, offshore, coastal, and deep-ocean engineering including marine engineering. This paper takes a stock of the resear...
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DOI: https://doi.org/10.1533/saos.2004.0005
M.T. Hagan, H.B. Demuth • Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
(1999)
Provides a quick overview of neural networks and explains how they can be used in control systems. We introduce the multilayer perceptron neural network and describe how it can be used for function approximation. The backpropagation algorit...
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DOI: https://doi.org/10.1109/acc.1999.786109