GitHub / qBraid / qbraid-lab-demo
Notebooks demonstrating how to use qBraid Lab to streamline quantum workflows, connect to quantum hardware, and leverage GPU-enabled scalable compute for hybrid algorithms.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/qBraid%2Fqbraid-lab-demo
Stars: 36
Forks: 15
Open issues: 2
License: apache-2.0
Language: Jupyter Notebook
Size: 4.07 MB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: about 2 months ago
Pushed at: about 2 months ago
Last synced at: about 1 month ago
Topics: ipython, quantum, quantum-algorithms, quantum-circuit, quantum-computing
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