Abstract: The Quantum Approximate Optimization Algorithm (QAOA) is a leading candidate for solving combinatorial optimization problems on near-term quantum hardware. However, its practical deployment ...
Abstract: This work explores the use of variational quantum algorithms to optimize energy distribution among users in energy communities, using real data from a community lab. This requires ...
Note that current implementation requires significant amounts of RAM (~5GB) as it loads the entire dataset into memory. Linux and macOS are currently supported. pip ...
It is easiest to install QuantumFlow's requirements using conda. git clone https://github.com/rigetti/quantumflow.git cd quantumflow conda install -c conda-forge ...
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