Tequila
Tequila is an abstraction framework for (variational) quantum algorithms. It operates on abstract data structures allowing the formulation, combination, automatic differentiation and optimization of generalized objectives.
Closed bounties:
- $120 | optimized compiling for general QubitExcitations beyond single and double
closed by: jebernate - $80 | QASM 3
closed by: Roll249 - $100 | to_matrix for circuits
closed by: ACE07-Sev - $80 | DDSim/Quimb Backend Integration
closed by: jebernate - $120 | Chemistry: FCI Wavefunction to QubitWaveFunction
closed by: jebernate