SQMG introduces an atom-fixed, bond-reused variational quantum circuit for molecular graph generation that achieves linear qubit scaling and enables GPU-accelerated tensor-network simulation up to 40 heavy atoms.
Validating large-scale quantum ma- chine learning: Efficient simulation of quantum support vector machines using tensor networks,
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Scalable Quantum Molecular Generation via GPU-Accelerated Tensor-Network Simulation
SQMG introduces an atom-fixed, bond-reused variational quantum circuit for molecular graph generation that achieves linear qubit scaling and enables GPU-accelerated tensor-network simulation up to 40 heavy atoms.