FermionCircuitSolver¶

class FermionCircuitSolver(shots=None, seed=None, num_species=1)[source]¶

Numerically simulate fermionic systems by exactly computing the time evolution under unitary operations generated by fermionic Hamiltonians.

Parameters:

shots (Optional[int]) – amount of shots for the measurement simulation; if not None, measurements are performed
seed (Optional[int]) – seed for the RNG for the measurement simulation
num_species (int) – number of different fermionic species, defaults to 1 for a single type of (spinless) fermions, 2 for spin-1/2 fermions etc. If > 1, the solver will check for conservation of the particle number per fermionic species in order to reduce the Hilbert space dimension of the simulation

Attributes

`FermionCircuitSolver.basis`	Return the basis of fermionic occupation number states.
`FermionCircuitSolver.dim`	Return the dimension set by the last quantum circuit on which the solver was called.
`FermionCircuitSolver.ignore_barriers`	Boolean flag that defines how barrier instructions in the circuit are handled.
`FermionCircuitSolver.max_dimension`	The maximal Hilbert space dimension of the simulation.
`FermionCircuitSolver.seed`	The seed for the random number generator of the measurement simulation.

Methods

`FermionCircuitSolver.__call__`(circuit)	Performs the simulation of the circuit: Each operator is converted into a sparse matrix over the basis and is then exponentiated to get the unitary of the gate.
`FermionCircuitSolver.draw_shots`(...)	Helper function to draw counts from a given distribution of measurement outcomes.
`FermionCircuitSolver.get_initial_state`(circuit)	Return the initial state of the quantum circuit as a sparse column vector.
`FermionCircuitSolver.operator_to_mat`(operator)	Convert the fermionic operator to a sparse matrix.
`FermionCircuitSolver.preprocess_circuit`(circuit)	Pre-processing fermionic circuits includes setting up the basis for the simulation by extracting the size, particle number and spin conservation from the circuit.
`FermionCircuitSolver.to_operators`(circuit)	Convert a circuit to a list of second quantized operators that describe the generators of the gates applied to the circuit.
`FermionCircuitSolver.__call__`(circuit)	Performs the simulation of the circuit: Each operator is converted into a sparse matrix over the basis and is then exponentiated to get the unitary of the gate.