EFFICIENCY OF APPLICATION OF VARIATION QUANTUM ALGORITHMS
Journal Title: International scientific journal Science and Innovation - Year 2023, Vol 2, Issue 9
Abstract
The main feature of all algorithms of the type of variational quantum algorithms is the calculation of the cost function that must be minimized. In optimization and logistics and efficient solution problems, the cost function is simply the quantity to be minimized and must include constraints. In quantum chemistry, the cost function is often the energy of the molecule under study. Many machine learning problems require the optimization of a loss function that measures the quality of the prediction. In the variational quantum algorithm, the cost function is mapped to a quantum circuit with adjustable parameters. Designing a quantum circuit for a given cost function is challenging, but several existing circuit architectures are being improved. This paper explores "Problem-Dependent" architectures and focuses on improving problem-specific architectures based on quantum algorithms
Authors and Affiliations
Himmatov Ibodilla Qudratovich, Istamov Ismoilzoda Uktamovich
Keywords
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- EP ID EP721516
- DOI 10.5281/zenodo.8395077
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