GitHub / munich-quantum-toolkit / predictor
MQT Predictor - A Tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/munich-quantum-toolkit%2Fpredictor
PURL: pkg:github/munich-quantum-toolkit/predictor
Stars: 70
Forks: 17
Open issues: 7
License: mit
Language: Python
Size: 80.5 MB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: 6 days ago
Pushed at: 5 days ago
Last synced at: 5 days ago
Commit Stats
Commits: 463
Authors: 6
Mean commits per author: 77.17
Development Distribution Score: 0.313
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/munich-quantum-toolkit/predictor
Topics: quantum-circuit, quantum-compiler, reinforcement-learning, supervised-machine-learning