Quantum linear solvers for scientific computing: a comparison of VQLS, HHL and quantum annealing on time-fractional diffusion problems [PDF]
Scientific ReportsTime-fractional diffusion equations have emerged as powerful models for describing anomalous transport phenomena in physics, biology and engineering. To address the computational challenges arising from their non-local operators, we employ the WEB-spline
Amir Hossein Salehi Shayegan
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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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Preconditioning for Allen-Cahn variational inequalities with non-local constraints [PDF]
, 2010 The solution of Allen-Cahn variational inequalities with mass constraints is of interest in many applications. This problem can be solved both in its scalar and vector-valued form as a PDE-constrained optimization problem by means of a primal-dual active
Blank, Luise +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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