QuantumFlow v0.8.0: Automatic differentiation of quantum circuits and SGD training of quantum networks. Now with TensorFlow 2.0 backend.
Install the latest tensorflow 2.0 alpha with
pip install -U –pre tensorflow
and set the QUANTUMFLOW_BACKEND environment variable to tensorflow2.
QUANTUMFLOW_BACKEND=tensorflow2 make test
[ Documentation| Code]
Upcoming: 2024-03-20, U. Chicago, Computations in Science Seminar
We consider an alternative physics-based computing paradigm based on classical thermodynamics, to provide a near-term approach to accelerating linear algebra.
We consider an alternative physics-based computing paradigm based on classical thermodynamics, to provide a near-term approach to accelerating linear algebra.
We consider an alternative physics-based computing paradigm based on classical thermodynamics, to provide a near-term approach to accelerating linear algebra.
