TorchQuantumDistributed

This addresses the problem of scalable quantum circuit simulation for researchers in quantum machine learning, though it appears incremental as it builds on existing PyTorch frameworks.

They tackled the challenge of simulating large-scale quantum circuits by developing TorchQuantumDistributed, a PyTorch-based library for accelerator-agnostic differentiable quantum state vector simulation, enabling study of parameterized quantum circuits with high qubit counts.