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Update noisycircuits_mc.md (#410)
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docs/src/noisycircuits_mc.md

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@@ -15,7 +15,7 @@ Import with `using QuantumClifford.Experimental.NoisyCircuits`.
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This module enables the simulation of noisy Clifford circuits through a Monte Carlo method where the same circuit is evaluated multiple times with random errors interspersed through it as prescribed by a given error model.
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Below is an example of a purification circuit. We first prepare the circuit we desire to use, including a noise model. `Quantikz.jl` was is used to visualize the circuit.
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Below is an example of a purification circuit. We first prepare the circuit we desire to use, including a noise model. `Quantikz.jl` is used to visualize the circuit.
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```@example 1
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using QuantumClifford # hide
@@ -55,8 +55,8 @@ If you want to create a custom gate type (e.g. calling it `Operation`), you need
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The `Symbol` is the status of the operation. Predefined statuses are kept in the `registered_statuses` list, but you can add more.
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Be sure to expand this list if you want the trajectory simulators using your custom statuses to output all trajectories.
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There is also [`applynoise!`](@ref) which is convenient wait to create a noise model that can then be plugged into the [`NoisyGate`](@ref) struct,
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There is also [`applynoise!`](@ref) which is a convenient way to create a noise model that can then be plugged into the [`NoisyGate`](@ref) struct,
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letting you reuse the predefined perfect gates and measurements.
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However, you can also just make up your own noise operator simply by implementing [`applywstatus!`](@ref) for it.
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You can also consult the [list of implemented operators](@ref noisycircuits_ops).
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You can also consult the [list of implemented operators](@ref noisycircuits_ops).

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