⚛️🔥 pyqtorch

pyqtorch is a PyTorch-based state vector simulator designed for quantum machine learning.
It acts as the main backend for Qadence, a digital-analog quantum programming interface.
pyqtorch allows for writing fully differentiable quantum programs using both digital and analog operations; enabled via a intuitive, torch-based syntax.

Open bounties:

• $100 | [Feature] Support ConcretizedCallable as parameter type for parametric gates with adjoint differentiation mode

Closed bounties:

• $100 | [Feature] Add two-qubit digital noise
  closed by: d-bharadwaj
• $100 | [Feature] Optimize Krylov solver for batched calculations
  closed by: cburdine
• $100 | [Testing] Test reembedding of params in HamiltonianEvolution
  closed by: Kitsunp
• $100 | [Testing] Expand embedding tests for all operators
  closed by: Kitsunp