modules.solvers.qaoa

Functions

`circuit`(params, device, n_qubits, ising)	Function to return the full QAOA circuit; depends on device as ZZ implementation depends on gate set of backend.
`cost_circuit`(gamma, ising, device)	Returns circuit for evolution with cost Hamiltonian.
`driver`(beta, n_qubits)	Returns circuit for driver Hamiltonian U(Hb, beta).
`objective_function`(params, device, ising, ...)	Objective function takes a list of variational parameters as input, and returns the cost associated with those parameters.
`train`(device, options, p, ising, n_qubits, ...)	Function to run QAOA algorithm for given, fixed circuit depth p.
`zz_gate`(q1, q2, gamma)	Function that returns a circuit implementing exp(-i gamma Z_i Z_j) using CNOT gates if ZZ not supported.

Classes