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

Closed bounties:

• $100 | Enhance the Pulse-Level Simulation
  closed by: AbdullahKazi500
• $100 | Develop the TorchQuantum Testing Suite
  closed by: SaashaJoshi
• $100 | Make TQ Compatible with Qiskit ≥1.0.0
  closed by: king-p3nguin
• $100 | Supporting Additional Features for tq2qiskit and qiskit2tq
  closed by: king-p3nguin
• $100 | Adding new examples and algorithms for TQ
  closed by: Gopal-Dahale, AbdullahKazi500