53 lines
2.9 KiB
Plaintext
53 lines
2.9 KiB
Plaintext
---
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title: VarQITE
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description: API reference for qiskit.algorithms.VarQITE
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in_page_toc_min_heading_level: 1
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python_api_type: class
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python_api_name: qiskit.algorithms.VarQITE
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---
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# VarQITE
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<Class id="qiskit.algorithms.VarQITE" isDedicatedPage={true} github="https://github.com/qiskit/qiskit/tree/stable/0.23/qiskit/algorithms/time_evolvers/variational/var_qite.py" signature="VarQITE(ansatz, initial_parameters, variational_principle=None, estimator=None, ode_solver=<class 'qiskit.algorithms.time_evolvers.variational.solvers.ode.forward_euler_solver.ForwardEulerSolver'>, lse_solver=None, num_timesteps=None, imag_part_tol=1e-07, num_instability_tol=1e-07)" modifiers="class">
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Bases: `qiskit.algorithms.time_evolvers.variational.var_qte.VarQTE`, [`qiskit.algorithms.time_evolvers.imaginary_time_evolver.ImaginaryTimeEvolver`](qiskit.algorithms.ImaginaryTimeEvolver "qiskit.algorithms.time_evolvers.imaginary_time_evolver.ImaginaryTimeEvolver")
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Variational Quantum Imaginary Time Evolution algorithm.
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**Parameters**
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* **ansatz** – Ansatz to be used for variational time evolution.
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* **initial\_parameters** – Initial parameter values for the ansatz.
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* **variational\_principle** – Variational Principle to be used. Defaults to `ImaginaryMcLachlanPrinciple`.
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* **estimator** – An estimator primitive used for calculating expectation values of TimeEvolutionProblem.aux\_operators.
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* **ode\_solver** – ODE solver callable that implements a SciPy `OdeSolver` interface or a string indicating a valid method offered by SciPy.
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* **lse\_solver** – Linear system of equations solver callable. It accepts `A` and `b` to solve `Ax=b` and returns `x`. If `None`, the default `np.linalg.lstsq` solver is used.
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* **num\_timesteps** – The number of timesteps to take. If `None`, it is automatically selected to achieve a timestep of approximately 0.01. Only relevant in case of the `ForwardEulerSolver`.
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* **imag\_part\_tol** – Allowed value of an imaginary part that can be neglected if no imaginary part is expected.
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* **num\_instability\_tol** – The amount of negative value that is allowed to be rounded up to 0 for quantities that are expected to be non-negative.
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## Methods
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### evolve
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<Function id="qiskit.algorithms.VarQITE.evolve" signature="VarQITE.evolve(evolution_problem)">
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Apply Variational Quantum Time Evolution to the given operator.
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**Parameters**
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**evolution\_problem** ([`TimeEvolutionProblem`](qiskit.algorithms.TimeEvolutionProblem "qiskit.algorithms.time_evolvers.time_evolution_problem.TimeEvolutionProblem")) – Instance defining an evolution problem.
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**Return type**
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`VarQTEResult`
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**Returns**
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Result of the evolution which includes a quantum circuit with bound parameters as an evolved state and, if provided, observables evaluated on the evolved state.
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**Raises**
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**ValueError** – If `initial_state` is included in the `evolution_problem`.
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</Function>
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</Class>
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