Compression and dimensionality reduction techniques for Quantum Machnine Learning applications in High Energy Physics
- Panagiotis Barkoutsos
- Denis-Patrick Odagiu
- et al.
- 2022
- APS March Meeting 2022
Publications
Date
Featured collections
Popular topics
10 results for Jennifer Glick
Representation Learning via Quantum Neural Tangent Kernels
- Junyu Liu
- Francesco Tacchino
- et al.
- 2022
- APS March Meeting 2022
Covariant quantum kernels for data with group structure
- Jennifer Glick
- 2022
- APS March Meeting 2022
Circuit knitting toolbox and quantum serverless
- Iskandar Sitdikov
- Jennifer Glick
- et al.
- 2023
- APS March Meeting 2023
Automated cut finding and circuit knitting on large quantum circuits
- Ibrahim Shehzad
- Edwin Pednault
- et al.
- 2024
- QCE 2024
Simulating Larger Quantum Circuits with Circuit Cutting and Quantum Serverless
- Caleb Johnson
- Bryce Fuller
- et al.
- 2023
- SC 2023
Building Quantum Workflows using Composable Software within the Qiskit Patterns Framework
- Mariana Bernagozzi
- Bryce Fuller
- et al.
- 2024
- QCE 2024
Circuit cutting with Quantum Serverless
- Jim Garrison
- Caleb Johnson
- et al.
- 2023
- QCE 2023
Approximate Solutions of Combinatorial Problems via Quantum Relaxations
- Bryce Fuller
- Charles Hadfield
- et al.
- 2021
- arXiv
Quantum Algorithms for Mixed Binary Optimization Applied to Transaction Settlement
- Lee Braine
- Daniel Egger
- et al.
- 2021
- IEEE TQE