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Variational quantum algorithm for unconstrained black box binary optimization: Application to feature selection [PDF]
Quantum, 2023 We introduce a variational quantum algorithm to solve unconstrained black box binary optimization problems, i.e., problems in which the objective function is given as black box.
Christa Zoufal +8 more
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Scalable imaginary time evolution with neural network quantum states
SciPost Physics, 2023 The representation of a quantum wave function as a neural network quantum state (NQS) provides a powerful variational ansatz for finding the ground states of many-body quantum systems.
Eimantas Ledinauskas, Egidijus Anisimovas
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Journal of Function Spaces, 2022 A literature review revealed that the general variational inequalities, fixed-point problems, and Winner–Hopf equations are equivalent. In this study, general variational inequality and fixed-point problem are considered.
Kubra Sanaullah +4 more
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Fast quantum circuit cutting with randomized measurements [PDF]
Quantum, 2023 We propose a new method to extend the size of a quantum computation beyond the number of physical qubits available on a single device. This is accomplished by randomly inserting measure-and-prepare channels to express the output state of a large circuit ...
Angus Lowe +6 more
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A Hybrid Neural Network Model for Short-Term Wind Speed Forecasting
Energies, 2023 This study proposes an effective wind speed forecasting model combining a data processing strategy, neural network predictor, and parameter optimization method.
Shengxiang Lv, Lin Wang, Sirui Wang
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Modeling Photo-Bleaching Kinetics to Create High Resolution Maps of Rod Rhodopsin in the Human Retina. [PDF]
PLoS ONE, 2015 We introduce and describe a novel non-invasive in-vivo method for mapping local rod rhodopsin distribution in the human retina over a 30-degree field. Our approach is based on analyzing the brightening of detected lipofuscin autofluorescence within small
Martin Ehler +6 more
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Push-pull optimization of quantum controls
Physical Review Research, 2020 Optimization of quantum controls to achieve a target process is centered around an objective function comparing the realized process with the target. We propose an objective function that incorporates not only the target operator but also a set of its ...
Priya Batra +2 more
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Error-Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence Analysis
IEEE Transactions on Quantum Engineering, 2022 Variational quantum algorithms (VQAs) offer the most promising path to obtaining quantum advantages via noisy intermediate-scale quantum (NISQ) processors.
Sharu Theresa Jose, Osvaldo Simeone
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Fast and Adaptive Boosting Techniques for Variational Based Image Restoration
IEEE Access, 2019 Variational based problems are an important class of problems and have a space of improvement in image processing. Boosting techniques have been shown capable of improving many image restoration algorithms.
Samad Wali +6 more
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Frontiers in Psychiatry, 2022 Artificial intelligence (AI) advancements have radically altered human production and daily living. When it comes to AI's quick rise, it facilitates the growth of China's citizens, and at the same moment, a lack of intelligence has led to several ...
Hao Liu
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