PyClifford

Open bounties:

• $150 | [UnitaryHack] Implementing state expectation in parallel for a given batch of stabilizer states
• $150 | [UnitaryHack] Mixed state unitary evolution and expectations
• $50 | [UnitaryHack] Benchmarking and profiling the speed of pyclifford and torchclifford
• $150 | [unitaryHack] Intermediate representation of circuits and link to `stim` package for quantum error correction

This is a python based clifford circuit simulation package which not only offers the fast simulation but also supports analytical level manipulation of pauli operators and stabilizer states. And we are working on quantum circuit (strong/weak) simulations that include a few T-gates. To get started, in PyClifford Jupyter Book, we have made several jupyter notebooks to illustrate the basics of PyClifford.