ImaginaryMcLachlanPrinciple#

class qiskit.algorithms.time_evolvers.variational.ImaginaryMcLachlanPrinciple(qgt=None, gradient=None)[source]#

Bases: ImaginaryVariationalPrinciple

Class for an Imaginary McLachlan's Variational Principle. It aims to minimize the distance between both sides of the Wick-rotated Schrödinger equation with a quantum state given as a parametrized trial state. The principle leads to a system of linear equations handled by a linear solver. The imaginary variant means that we consider imaginary time dynamics.

প্যারামিটার:

  • qgt (BaseQGT | None) -- Instance of a the GQT class used to compute the QFI. If None provided, LinCombQGT is used.

  • gradient (BaseEstimatorGradient | None) -- Instance of a class used to compute the state gradient. If None provided, LinCombEstimatorGradient is used.

রেইজেস:

AlgorithmError -- If the gradient instance does not contain an estimator.

Methods

evolution_gradient(hamiltonian, ansatz, param_values, gradient_params=None)[source]#

Calculates an evolution gradient according to the rules of this variational principle.

প্যারামিটার:

  • hamiltonian (BaseOperator) -- Operator used for Variational Quantum Time Evolution.

  • ansatz (QuantumCircuit) -- Quantum state in the form of a parametrized quantum circuit.

  • param_values (Sequence[float]) -- Values of parameters to be bound.

  • gradient_params (Sequence[Parameter] | None) -- List of parameters with respect to which gradients should be computed. If None given, gradients w.r.t. all parameters will be computed.

রিটার্নস:

An evolution gradient.

রেইজেস:

AlgorithmError -- If a gradient job fails.

রিটার্ন টাইপ:

np.ndarray