MonitoredQuantumCircuits

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Public API ​

MonitoredQuantumCircuits ​

MonitoredQuantumCircuits.CNOT Type
julia
CNOT() <: Operation

The CNOT operation is a two-qubit gate that flips the target qubit if the control qubit is in the |1⟩ state.

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MonitoredQuantumCircuits.ChainGeometry Type

A data structure representing a one-dimensional chain geometry of qubits.

Constructors

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ChainGeometry(Periodic, size::Integer)

Constructs a chain geometry with periodic boundary conditions (i.e., a closed loop).

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ChainGeometry(Open, size::Integer)

Constructs a chain geometry with open boundary conditions (i.e., a linear chain).

Arguments

  • size::Integer: The number of qubits in the chain.

Examples

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# Create a chain of 8 qubits with periodic boundaries
geometry = ChainGeometry(Periodic, 8)

# Create a chain of 10 qubits with open boundaries
geometry = ChainGeometry(Open, 10)
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MonitoredQuantumCircuits.Geometry Type
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Geometry

Abstract type for the geometry of the qubits.

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MonitoredQuantumCircuits.H Type
julia
H() <: Operation

The H operation is a single-qubit gate that creates superposition by applying a Hadamard transformation.

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MonitoredQuantumCircuits.HoneycombGeometry Type

A data structure representing a honeycomb lattice geometry.

Constructors

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HoneycombGeometry(Periodic, sizeX::Integer, sizeY::Integer)

Create a honeycomb geometry with periodic boundary conditions.

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HoneycombGeometry(Open, sizeX::Integer, sizeY::Integer)

Create a honeycomb geometry with open boundary conditions.

Arguments

  • sizeX::Integer: Width of the lattice

  • sizeY::Integer: Height of the lattice (must be even)

Examples

julia
# Create a 4×4 honeycomb lattice with periodic boundaries
geometry = HoneycombGeometry(Periodic, 4, 4)

# Create a 6×6 honeycomb lattice with open boundaries
geometry = HoneycombGeometry(Open, 6, 6)
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MonitoredQuantumCircuits.I Type
julia
I() <: Operation

The I operation is a single-qubit gate that represents the identity operation, leaving the qubit unchanged.

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MonitoredQuantumCircuits.IBMQ_Falcon Type

A data structure representing the geometry of the IBM Quantum Falcon QPU.

Constructors

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IBMQ_Falcon()
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MonitoredQuantumCircuits.MX Type
julia
MX() <: Operation

The MX operation is a single-qubit measurement operation that measures the state of a qubit in the X basis.

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MonitoredQuantumCircuits.MXX Type
julia
MXX() <: MeasurementOperation

The MXX operation is a two-qubit gate that applies an XX interaction between the two qubits. It is a type of measurement operation that can be used in quantum circuits.

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MonitoredQuantumCircuits.MY Type
julia
MY() <: Operation

The MY operation is a single-qubit measurement operation that measures the state of a qubit in the Y basis.

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MonitoredQuantumCircuits.MYY Type
julia
MYY() <: MeasurementOperation

The MYY operation is a two-qubit gate that applies a YY interaction between the two qubits. The operation is used to measure the state of the qubits in the YY basis.

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MonitoredQuantumCircuits.MZ Type
julia
MZ() <: Operation

The MZ operation is a single-qubit measurement operation that measures the state of a qubit in the Z basis.

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MonitoredQuantumCircuits.MZZ Type
julia
MZZ() <: MeasurementOperation

The MZZ operation is a two-qubit measurement operation that measures the state of two qubits in the ZZ basis. The first qubit is the target qubit, and the second qubit is an ancilla qubit that is used to store the result of the operation.

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MonitoredQuantumCircuits.MnPauli Type
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MnPauli{N} <: MeasurementOperation

The MnPauli operation is a N-qubit measurement operation that measures the state of multiple qubits in the Pauli basis.

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MonitoredQuantumCircuits.ShastrySutherlandGeometry Type

A data structure representing a Shastry-Sutherland lattice geometry.

Constructors

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ShastrySutherlandGeometry(Periodic, sizeX::Integer, sizeY::Integer)

Construct a Shastry-Sutherland geometry with periodic boundary conditions.

Arguments

  • sizeX::Integer: The number of sites in the x direction

  • sizeY::Integer: The number of sites in the y direction

Examples

julia
# Create a 4×4 Shastry-Sutherland lattice with periodic boundaries
geometry = ShastrySutherlandGeometry(Periodic, 4, 4)
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MonitoredQuantumCircuits.WeakMXX Type
julia
WeakMXX <: MeasurementOperation

The WeakMXX operation is a three-qubit gate that applies a weak XX interaction between the first two qubits, with a strength determined by the parameter t. The third qubit is an ancilla qubit that is used to store the result of the operation.

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MonitoredQuantumCircuits.WeakMYY Type
julia
WeakMYY <: MeasurementOperation

The WeakMYY operation is a three-qubit gate that applies a weak YY interaction between the first two qubits, with a strength determined by the parameter t. The third qubit is an ancilla qubit that is used to store the result of the operation.

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MonitoredQuantumCircuits.WeakMZZ Type
julia
WeakMZZ <: MeasurementOperation

The WeakMZZ operation is a three-qubit gate that applies a weak ZZ interaction between the first two qubits, with a strength determined by the parameter t. The third qubit is an ancilla qubit that is used to store the result of the operation.

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MonitoredQuantumCircuits.X Type
julia
X() <: Operation

The X operation is a single-qubit gate that flips the state of a qubit.

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MonitoredQuantumCircuits.Y Type
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Y() <: Operation

The Y operation is a single-qubit gate that applies a phase of π to the |1⟩ state.

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MonitoredQuantumCircuits.Z Type
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Z() <: Operation

The Z operation is a single-qubit gate that applies a phase of π to the |1⟩ state.

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MonitoredQuantumCircuits.isClifford Method
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isClifford(operation::Operation)

Return whether the operation is a Clifford operation.

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MonitoredQuantumCircuits.isSimulator Method
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isSimulator(backend::Backend)

Return whether the backend is a simulator.

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MonitoredQuantumCircuits.nQubits Method
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nQubits(geometry::Geometry)

Return the number of qubits in the geometry.

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MonitoredQuantumCircuits.nQubits Method
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nQubits(operation::Operation)

Return the number of qubits the operation acts on.

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Qiskit ​

MonitoredQuantumCircuits.Qiskit.CliffordSimulator Type
julia
CliffordSimulator <: AerSimulator

A Qiskit Aer stabilizer simulator.

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MonitoredQuantumCircuits.Qiskit.GPUStateVectorSimulator Type
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GPUStateVectorSimulator <: AerSimulator

A Qiskit Aer statevector simulator that runs on the GPU.

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MonitoredQuantumCircuits.Qiskit.GPUTensorNetworkSimulator Type
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GPUTensorNetworkSimulator <: AerSimulator

A Qiskit Aer tensor network simulator that runs on the GPU.

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MonitoredQuantumCircuits.Qiskit.IBMBackend Type
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IBMBackend <: MonitoredQuantumCircuits.QuantumComputer

A Qiskit backend that runs on IBM's quantum computers.

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MonitoredQuantumCircuits.Qiskit.StateVectorSimulator Type
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StateVectorSimulator <: AerSimulator

A Qiskit Aer statevector simulator.

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QuantumClifford ​

MonitoredQuantumCircuits.QuantumClifford.GPUPauliFrameSimulator Type
julia
GPUPauliFrameSimulator()

A QuantumClifford stabilizer Pauli frame simulator that runs on the GPU.

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MonitoredQuantumCircuits.QuantumClifford.PauliFrameSimulator Type
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PauliFrameSimulator()

A QuantumClifford stabilizer Pauli frame simulator.

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MonitoredQuantumCircuits.QuantumClifford.TableauSimulator Type
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TableauSimulator(qubits::Integer; mixed=false, basis=:Z)

A QuantumClifford stabilizer simulator.

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MonitoredQuantumCircuits.QuantumClifford.projectXX! Method
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projectXX!(ρ::MixedDestabilizer, q1::Int, q2::Int;
           keep_result::Bool = true, phases::Bool = true)

Project in-place onto the +1 eigenspace of X_q1 ⊗ X_q2. Returns the modified tableau, the index of the anticommuting stabiliser row (or 0 if none existed), and – when keep_result=true – the measurement outcome (Bool).

This is the two-qubit analogue of projectX! and is just as fast (O(n) word scans, no allocations, fully inlined).

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MonitoredQuantumCircuits.QuantumClifford.projectYY! Method
julia
projectYY!(ρ::MixedDestabilizer, q1::Int, q2::Int;
           keep_result::Bool = true, phases::Bool = true)

Project in-place onto the +1 eigenspace of Y_q1 ⊗ Y_q2. Returns the modified tableau, the index of the anticommuting stabiliser row (or 0 if none existed), and – when keep_result=true – the measurement outcome (Bool).

This is the two-qubit analogue of projectY! and is just as fast (O(n) word scans, no allocations, fully inlined).

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MonitoredQuantumCircuits.QuantumClifford.projectZZ! Method
julia
projectZZ!(ρ::MixedDestabilizer, q1::Int, q2::Int;
           keep_result::Bool = true, phases::Bool = true)

Project in-place onto the +1 eigenspace of Z_q1 ⊗ Z_q2. Returns the modified tableau, the index of the anticommuting stabiliser row (or 0 if none existed), and – when keep_result=true – the measurement outcome (Bool).

This is the two-qubit analogue of projectZ! and is just as fast (O(n) word scans, no allocations, fully inlined).

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MonitoredQuantumCircuits.QuantumClifford.state_entropy Method
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state_entropy(state::AbstractStabilizer)

Calculate entropy, i.e. the mixedness, of a stabilizer state from QuantumClifford.

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MonitoredQuantumCircuits.QuantumClifford.tmi Method
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tmi(state::AbstractStabilizer, A, B, C)

Calculate the tripartite mutual information of a stabilizer state from QuantumClifford.

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