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@@ -151,7 +151,7 @@ If the environmental measurements register a quantum jump, the wave function und
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- `tlist`: List of times at which to save either the state or the expectation values of the system.
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- `c_ops`: List of collapse operators ``\{\hat{C}_n\}_n``. It can be either a `Vector` or a `Tuple`.
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- `e_ops`: List of operators for which to calculate expectation values. It can be either a `Vector` or a `Tuple`.
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- `params`: `NamedTuple` or `AbstractVector` of parameters to pass to the solver. For more advanced usage, any custom struct can be used.
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- `params`: Parameters to pass to the solver. This argument is usually expressed as a `NamedTuple` or `AbstractVector` of parameters. For more advanced usage, any custom struct can be used.
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- `rng`: Random number generator for reproducibility.
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- `jump_callback`: The Jump Callback type: Discrete or Continuous. The default is `ContinuousLindbladJumpCallback()`, which is more precise.
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- `kwargs`: The keyword arguments for the ODEProblem.
@@ -283,7 +283,7 @@ If the environmental measurements register a quantum jump, the wave function und
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- `tlist`: List of times at which to save either the state or the expectation values of the system.
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- `c_ops`: List of collapse operators ``\{\hat{C}_n\}_n``. It can be either a `Vector` or a `Tuple`.
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- `e_ops`: List of operators for which to calculate expectation values. It can be either a `Vector` or a `Tuple`.
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- `params`: `NamedTuple` or `AbstractVector` of parameters to pass to the solver.
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- `params`: Parameters to pass to the solver. This argument is usually expressed as a `NamedTuple` or `AbstractVector` of parameters. For more advanced usage, any custom struct can be used.
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- `rng`: Random number generator for reproducibility.
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- `ntraj`: Number of trajectories to use.
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- `ensemble_method`: Ensemble method to use. Default to `EnsembleThreads()`.
@@ -310,7 +310,7 @@ function mcsolveEnsembleProblem(
@@ -408,7 +408,7 @@ If the environmental measurements register a quantum jump, the wave function und
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- `c_ops`: List of collapse operators ``\{\hat{C}_n\}_n``. It can be either a `Vector` or a `Tuple`.
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- `alg`: The algorithm to use for the ODE solver. Default to `Tsit5()`.
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- `e_ops`: List of operators for which to calculate expectation values. It can be either a `Vector` or a `Tuple`.
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- `params`: `NamedTuple` or `AbstractVector` of parameters to pass to the solver.
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- `params`: Parameters to pass to the solver. This argument is usually expressed as a `NamedTuple` or `AbstractVector` of parameters. For more advanced usage, any custom struct can be used.
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- `rng`: Random number generator for reproducibility.
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- `ntraj`: Number of trajectories to use.
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- `ensemble_method`: Ensemble method to use. Default to `EnsembleThreads()`.
@@ -43,7 +43,7 @@ Generate the ODEProblem for the Schrödinger time evolution of a quantum system:
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- `ψ0`: Initial state of the system ``|\psi(0)\rangle``.
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- `tlist`: List of times at which to save either the state or the expectation values of the system.
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- `e_ops`: List of operators for which to calculate expectation values. It can be either a `Vector` or a `Tuple`.
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- `params`: `NamedTuple` or `AbstractVector` of parameters to pass to the solver. For more advanced usage, any custom struct can be used.
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- `params`: Parameters to pass to the solver. This argument is usually expressed as a `NamedTuple` or `AbstractVector` of parameters. For more advanced usage, any custom struct can be used.
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- `progress_bar`: Whether to show the progress bar. Using non-`Val` types might lead to type instabilities.
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- `inplace`: Whether to use the inplace version of the ODEProblem. The default is `Val(true)`.
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- `kwargs`: The keyword arguments for the ODEProblem.
@@ -121,7 +121,7 @@ Time evolution of a closed quantum system using the Schrödinger equation:
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- `tlist`: List of times at which to save either the state or the expectation values of the system.
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- `alg`: The algorithm for the ODE solver. The default is `Tsit5()`.
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- `e_ops`: List of operators for which to calculate expectation values. It can be either a `Vector` or a `Tuple`.
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- `params`: `NamedTuple` or `AbstractVector` of parameters to pass to the solver. For more advanced usage, any custom struct can be used.
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- `params`: Parameters to pass to the solver. This argument is usually expressed as a `NamedTuple` or `AbstractVector` of parameters. For more advanced usage, any custom struct can be used.
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- `progress_bar`: Whether to show the progress bar. Using non-`Val` types might lead to type instabilities.
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- `inplace`: Whether to use the inplace version of the ODEProblem. The default is `Val(true)`.
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- `kwargs`: The keyword arguments for the ODEProblem.
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