Performance analysis of a filtering variational quantum algorithm
Even a minor boost in solving combinatorial optimization problems can greatly benefit multiple industries. Quantum computers, with their unique information processing capabilities, hold promise for delivering such enhancements. The filtering variational quantum eigensolver (F-VQE) is a variational h...
Saved in:
| Main Authors: | Gabriel Marin-Sanchez, David Amaro |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
|
| Series: | New Journal of Physics |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1367-2630/add365 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Inductive Construction of Variational Quantum Circuit for Constrained Combinatorial Optimization
by: Hyakka Nakada, et al.
Published: (2025-01-01) -
An integrated strategy based on radiomics and quantum machine learning: diagnosis and clinical interpretation of pulmonary ground-glass nodules
by: Xianzhi Huang, et al.
Published: (2025-07-01) -
Quantum optimization algorithms for CT image segmentation from X-ray data
by: Kyungtaek Jun, et al.
Published: (2025-07-01) -
Post-variational classical quantum transfer learning for binary classification
by: Kavitha Yogaraj, et al.
Published: (2025-07-01) -
Quantum Selection for Genetic Algorithms Applied to Electromagnetic Design Problems
by: Gabriel F. Martinez, et al.
Published: (2025-07-01)