AccelerQ, a machine-learning-based framework, aims to optimise quantum eigensolver hyperparameters for improved energy estimation.
-
Updated
Jun 9, 2026 - Jupyter Notebook
AccelerQ, a machine-learning-based framework, aims to optimise quantum eigensolver hyperparameters for improved energy estimation.
Run short code snippets inside game engines and other .NET / Python hosts: C# (Roslyn-version-agnostic) and Python, one contract, golden tests.
To associate your repository with the code-execution-optimisation topic, visit your repo's landing page and select "manage topics."