🍅 TorchQuantum

Closed bounties:

• $100 | add support for more quantum algorithms
  closed by: bopardikarsoham, Gopal-Dahale, YuNariai
• $100 | Pulse level simulation and variational circuits
  closed by: jinleic
• $100 | support more gradient estimation methods
  closed by: dtlics, Micheallscarn
• $100 | add supports for more basic operations and layers
  closed by: d-bharadwaj, pandey-tushar, bopardikarsoham
• $100 | enhance the documentations and tests
  closed by: MihirsinhChauhan, denvitko

TorchQuantum is a library for classical simulation of quantum circuit and training of variational quantum circuits. It has several 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