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Open-source Python framework for hybrid quantum-classical ml learning
TensorFlow Quantum integrates with the Cirq quantumcomputing framework to define and manipulate quantum circuits, while leveraging TensorFlow’s infrastructure for optimization, automatic differentiation, and large-scale computation. The library also supports high-performance simulation of quantum circuits, enabling researchers to test and evaluate quantum models even without direct access to quantum hardware.
Tool for energy-efficient resource management in HPC clusters
...In the latest version, we leverage a more sophisticated and exhaustive model that covers a wider range of environmental aspects and balances service quality and power consumption with all indirect costs, including hardware failures and subsequent replacements, measured in both monetary units and carbon emissions.
This software has been developed by Quantum and High Performance Computing group (QHPC). See https://qhpc.uniovi.es/