Quantum error mitigation with Zero Noise Extrapolation (ZNE) approach for indirect controlled system.
| Parameters | Explanation |
|---|---|
nqubit |
type: int, number of qubits. |
state |
type: str, Density matrix or state vector formalism, acceptable values: DMatrix, Satevector |
layer |
type: int, depth of the circuit. |
etime |
type: bool, calculates the execution time for eigen solver. |
optimization.status |
type: bool, minimizes the cost function with respect to parameters. |
optimization.algorith |
type:str, minimization algorithm used by scipy.optimize.minimize(), acceptable values: SLSQP, BFGS etc. See the SciPy official documentation for more details. |
optimization.iteration |
type: int, how many times the optimization is performed. |
optimization.constraint |
type: bool, applies time constraint to parameters, supported by only SLSQP algorithm. |
circuit.draw |
type:bool, draws the circuit figure. |
circuit.ansatztype |
type: str, the Hamiltonian model to be used in time evolution gate, acceptable values: xy,ising, hardware |
circuit.time.min |
type: float, lower bound of time duration in the time-evolution gate. |
circuit.time.max |
type: float, upper bound of time duration in the time-evolution gate. |
circuit.coefficients.cn |
type:float |
circuit.coefficients.bn |
type: float |
circuit.coefficient.r |
type: float |
circuit.noise.status |
type: bool, turn on/off the noise. |
circuit.noise.value |
type: list[float], noise probabilities for rotational gates, time-evolution gate, and Y gate respectively. |
circuit.noise.factor |
type: list[int], noise factors for rotational gates, time-evolution gate, and Y gate respectively |
param |
type: list[float] and str, initial parameters to be used. |