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Published in 2022 at "Macromolecular rapid communications"
DOI: 10.1002/marc.202200385
Abstract: Automated molecule design by computers has been an essential topic in materials informatics. Still, generating practical structures is not easy because of the difficulty in treating material stability, synthetic difficulty, mechanical properties, and other miscellaneous…
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Keywords:
automated design;
polymer;
design;
quantum inspired ... See more keywords
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Published in 2019 at "Medical physics"
DOI: 10.1002/mp.13840
Abstract: PURPOSE Modern inverse radiotherapy treatment planning requires non-convex, large-scale optimizations that must be solved within a clinically feasible timeframe. We have developed and tested a quantum-inspired, stochastic algorithm for intensity-modulated radiotherapy (IMRT): Quantum Tunnel Annealing…
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Keywords:
quantum inspired;
treatment planning;
radiotherapy;
qta ... See more keywords
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Published in 2024 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-023-10659-1
Abstract: Quantum algorithms, based on the principles of quantum mechanics, offer significant parallel processing capabilities with a wide range of applications. Nature-inspired stochastic optimization algorithms have long been a research hotspot. The fusion of quantum mechanics…
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Keywords:
inspired metaheuristic;
analysis quantum;
analysis;
research ... See more keywords
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Published in 2019 at "Applied Intelligence"
DOI: 10.1007/s10489-019-01476-7
Abstract: Fuzzy cognitive maps (FCMs) represent a graphical modeling technique based on the decision-making and reasoning rules and algorithms similar to those used by humans. The graph-like structure and the execution model of FCMs respectively allow…
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Keywords:
quantum;
quantum inspired;
analysis;
fuzzy cognitive ... See more keywords
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Published in 2017 at "International Journal of Theoretical Physics"
DOI: 10.1007/s10773-017-3371-1
Abstract: We address the problem of binary classification by using a quantum version of the Nearest Mean Classifier (NMC). Our proposal is indeed an advanced version of previous one (see Sergioli et al. 2017 that i)…
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Keywords:
version;
classification;
quantum inspired;
version classification ... See more keywords
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Published in 2024 at "Wireless Personal Communications"
DOI: 10.1007/s11277-024-11125-z
Abstract: Path planning is one of the most significant and challenging parts in the development of unmanned aerial vehicles. Over years many path-planning techniques are proposed and are being successfully used in various fields. Intelligent algorithms…
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Keywords:
inspired computing;
path planning;
decision making;
flying robot ... See more keywords
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Published in 2018 at "Memetic Computing"
DOI: 10.1007/s12293-017-0224-7
Abstract: In this paper, we present an approach to Large-Scale CARP called Quantum-Inspired Immune Clonal Algorithm (QICA-CARP). This algorithm combines the feature of artificial immune system and quantum computation ground on the qubit and the quantum…
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Keywords:
large scale;
inspired immune;
quantum inspired;
qica carp ... See more keywords
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Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-58636-w
Abstract: Designing efficient and secure cryptosystems has been a preoccupation for many scientists and engineers for a long time wherein they use chaotic systems to design new cryptosystems. While one dimensional (1-D) chaotic maps possess powerful…
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Keywords:
inspired cascaded;
quantum walks;
quantum inspired;
cryptographic applications ... See more keywords
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Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-82085-8
Abstract: Recent advances in Quantum Machine Learning (QML) have provided benefits to several computational processes, drastically reducing the time complexity. Another approach of combining quantum information theory with machine learning—without involving quantum computers—is known as Quantum-inspired…
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Keywords:
machine learning;
quantum inspired;
classifier clonogenic;
inspired classifier ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-024-84295-2
Abstract: We introduce efficient tensor network models for sequence processing motivated by correspondence to probabilistic graphical models, interpretability and resource compression. Inductive bias is introduced via network architecture as motivated by correlation and compositional structure in…
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Keywords:
quantum;
quantum inspired;
tensor;
sequence processing ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-22508-y
Abstract: We propose a quantum-inspired framework for modeling open distributed intelligence systems (DISs) comprising natural intelligence agents (NIAs) and artificial intelligence agents (AIAs) that interact with each other. Each NIA – AIA pair represents a user…
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Keywords:
social impact;
inspired modeling;
quantum inspired;
network ... See more keywords