Comprehensive Library of Variational LSE Solvers
April 15, 2024 Β· Declared Dead Β· π International Conference on Quantum Computing and Engineering
"No code URL or promise found in abstract"
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Authors
Nico Meyer, Martin RΓΆhn, Jakob Murauer, Axel Plinge, Christopher Mutschler, Daniel D. Scherer
arXiv ID
2404.09916
Category
quant-ph: Quantum Computing
Cross-listed
cs.LG,
cs.SE
Citations
2
Venue
International Conference on Quantum Computing and Engineering
Last Checked
5 months ago
Abstract
Linear systems of equations can be found in various mathematical domains, as well as in the field of machine learning. By employing noisy intermediate-scale quantum devices, variational solvers promise to accelerate finding solutions for large systems. Although there is a wealth of theoretical research on these algorithms, only fragmentary implementations exist. To fill this gap, we have developed the variational-lse-solver framework, which realizes existing approaches in literature, and introduces several enhancements. The user-friendly interface is designed for researchers that work at the abstraction level of identifying and developing end-to-end applications.
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