TorchQuantum

What it is doing

Simulate quantum computations on classical hardware using PyTorch. It supports statevector simulation and pulse simulation on GPUs. It can scale up to the simulation of 30+ qubits with multiple GPUs.

Who will benefit

Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, quantum neural networks.

Features

• Easy construction and simulation of quantum circuits in PyTorch

• Dynamic computation graph for easy debugging

• Gradient support via autograd

• Batch mode inference and training on CPU/GPU

• Easy deployment on real quantum devices such as IBMQ

• Easy hybrid classical-quantum model construction

• pulse-level simulation