Predicting Expressibility of Parameterized Quantum Circuits using Graph Neural Network
- New Mexico State University
- Los Alamos National Laboratory
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE Laboratory Directed Research and Development (LDRD) Program
- DOE Contract Number:
- 89233218CNA000001
- OSTI ID:
- 2229690
- Report Number(s):
- LA-UR-23-28303
- Resource Relation:
- Conference: IEEE International Conference on Quantum Computing and Engineering ; 2023-09-16 - 2023-09-22 ;
- Country of Publication:
- United States
- Language:
- English
Kullback-Leibler Divergence
|
book | January 2011 |
Barren plateaus in quantum neural network training landscapes
|
journal | November 2018 |
Expressibility and Entangling Capability of Parameterized Quantum Circuits for Hybrid Quantum‐Classical Algorithms
|
journal | October 2019 |
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