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Published in 2022 at "Physical Review A"
DOI: 10.1103/physreva.105.012423
Abstract: Variational quantum algorithms have found success in the NISQ era owing to their hybrid quantum-classical approach which mitigate the problems of noise in quantum computers. In our study we introduce the dynamic ansatz in the…
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Keywords:
dynamic ansatz;
linear solver;
quantum linear;
quantum ... See more keywords
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2
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3164071
Abstract: A linear system can be solved more efficiently by quantum computing. However, previously known quantum algorithms provide only a quantum state as the solution; consequently, we cannot obtain the value of each component of the…
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Keywords:
system;
quantum linear;
mimo detections;
linear system ... See more keywords
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Published in 2020 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2019.2946234
Abstract: The purpose of this article is to study the structure of quantum linear systems in terms of their Kalman canonical form, which was proposed in a recent paper. The spectral structure of quantum linear systems…
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Keywords:
action evading;
form;
back action;
structure ... See more keywords
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1
Published in 2022 at "Entropy"
DOI: 10.3390/e24070893
Abstract: Solving linear systems of equations is one of the most common and basic problems in classical identification systems. Given a coefficient matrix A and a vector b, the ultimate task is to find the solution…
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Keywords:
system;
quantum linear;
algorithm general;
identification ... See more keywords
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Published in 2023 at "Entropy"
DOI: 10.3390/e25040580
Abstract: Finite-element methods are industry standards for finding numerical solutions to partial differential equations. However, the application scale remains pivotal to the practical use of these methods, even for modern-day supercomputers. Large, multi-scale applications, for example,…
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Keywords:
quantum linear;
quantum;
linear solver;
finite element ... See more keywords