Public API

MonitoredQuantumCircuits

MonitoredQuantumCircuits.CNOT Type

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

ChainGeometry(Periodic, size::Integer)

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

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

# 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.Circuit Type

Circuit{G<:Geometry}

A circuit optimized for interactive construction. The operations are stored in a vector to allow for efficient construction.

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MonitoredQuantumCircuits.CompiledCircuit Type

CompiledCircuit{Ops<:Tuple}

A circuit optimized for iteration. The operations are stored in a tuple. The operations are stored in a tuple to allow for efficient iteration.

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MonitoredQuantumCircuits.DistributedOperation Type

DistributedOperation <: Operation

An operation that applies a specified operation at multiple positions with given probabilities.

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MonitoredQuantumCircuits.Geometry Type

Geometry

Abstract type for the geometry of the qubits.

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MonitoredQuantumCircuits.H Type

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

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

Create a honeycomb geometry with periodic boundary conditions.

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

# 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

I() <: Operation

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

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MonitoredQuantumCircuits.Measure_X Type

Measure_X() <: Operation

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

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MonitoredQuantumCircuits.Measure_Y Type

Measure_Y() <: Operation

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

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MonitoredQuantumCircuits.Measure_Z Type

Measure_Z() <: Operation

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

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MonitoredQuantumCircuits.NPauli Type

NPauli{N} <: MeasurementOperation

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

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MonitoredQuantumCircuits.RandomOperation Type

RandomOperation <: Operation

An operation that applies a random operation from a list of operations with specified probabilities and random positions.

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MonitoredQuantumCircuits.ShastrySutherlandGeometry Type

A data structure representing a Shastry-Sutherland lattice geometry.

Constructors

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

# Create a 4×4 Shastry-Sutherland lattice with periodic boundaries
geometry = ShastrySutherlandGeometry(Periodic, 4, 4)

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MonitoredQuantumCircuits.Weak_XX Type

Weak_XX <: MeasurementOperation

The Weak_XX 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.Weak_YY Type

Weak_YY <: MeasurementOperation

The Weak_YY 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.Weak_ZZ Type

Weak_ZZ <: MeasurementOperation

The Weak_ZZ 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

X() <: Operation

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

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MonitoredQuantumCircuits.XX Type

XX() <: MeasurementOperation

The XX 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.Y Type

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.YY Type

YY() <: MeasurementOperation

The YY 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.Z Type

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.ZZ Type

ZZ() <: MeasurementOperation

The ZZ 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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Base.push! Method

push!(random::RandomOperation,
    op::Operation,
    positions::Matrix;
    probability,
    positionProbabilities)

Push a new operation to the list of operations in the RandomOperation object. The operation is applied with a specified probability and the positions are given as a matrix. The positionProbabilities argument specifies the probabilities for each position (column) in the matrix.

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MonitoredQuantumCircuits.apply! Method

apply!(circuit::Circuit, operation::DistributedOperation)

Apply a [DistributedOperation] to the circuit.

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MonitoredQuantumCircuits.apply! Method

apply!(circuit::Circuit, i::Integer)

Apply the i-th operation in the circuit again.

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MonitoredQuantumCircuits.apply! Method

apply!(circuit::Circuit, operation::Operation, position::Integer)

Apply an operation to a position in the circuit.

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MonitoredQuantumCircuits.apply! Method

apply!(circuit::Circuit, operation::RandomOperation)

Apply a [RandomOperation] to the circuit.

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MonitoredQuantumCircuits.compile Method

compile(circuit::Circuit)

Compile the circuit. The function will return a CompiledCircuit object. The CompiledCircuit object is optimized for iteration and is not meant to be modified. The execute function only accepts CompiledCircuit objects.

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MonitoredQuantumCircuits.depth Method

depth(circuit::QuantumCircuit)

Return the depth of the circuit. The depth is the number of instructions in the circuit.

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MonitoredQuantumCircuits.execute Method

execute(circuit::CompiledCircuit, backend::Backend)

Execute the circuit on the given backend. The backend must be a subclass of Backend. The function will return the result of the execution.

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MonitoredQuantumCircuits.isClifford Method

isClifford(operation::Operation)

Return whether the operation is a Clifford operation.

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MonitoredQuantumCircuits.isSimulator Method

isSimulator(backend::Backend)

Return whether the backend is a simulator.

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MonitoredQuantumCircuits.nAncilla Method

nAncilla(circuit::CompiledCircuit)

Return the number of ancilla qubits in the compiled circuit. An ancilla qubits gets added for every unique combination of position and operation.

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MonitoredQuantumCircuits.nQubits Method

nQubits(circuit::CompiledCircuit)

Return the number of qubits in the compiled circuit. This can differ from the number of qubits in the original circuit, since unused qubits get deleated during compilation. Ancilla qubits are not included, use nAncilla to get the number of ancilla qubits.

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MonitoredQuantumCircuits.nQubits Method

nQubits(geometry::Geometry)

Return the number of qubits in the geometry.

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MonitoredQuantumCircuits.nQubits Method

nQubits(operation::Operation)

Return the number of qubits the operation acts on.

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Qiskit

MonitoredQuantumCircuits.Qiskit.IBMBackend Type

IBMBackend <: MonitoredQuantumCircuits.QuantumComputer

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

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MonitoredQuantumCircuits.Qiskit.CliffordSimulator Method

CliffordSimulator()

A Qiskit Aer stabilizer simulator.

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MonitoredQuantumCircuits.Qiskit.GPUStateVectorSimulator Method

GPUStateVectorSimulator()

A Qiskit Aer statevector simulator that runs on the GPU.

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MonitoredQuantumCircuits.Qiskit.GPUTensorNetworkSimulator Method

GPUTensorNetworkSimulator()

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

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MonitoredQuantumCircuits.Qiskit.StateVectorSimulator Method

StateVectorSimulator()

A Qiskit Aer statevector simulator.

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QuantumClifford

MonitoredQuantumCircuits.QuantumClifford.GPUPauliFrameSimulator Type

GPUPauliFrameSimulator()

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

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MonitoredQuantumCircuits.QuantumClifford.PauliFrameSimulator Type

PauliFrameSimulator()

A QuantumClifford stabilizer Pauli frame simulator.

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MonitoredQuantumCircuits.QuantumClifford.TableauSimulator Type

TableauSimulator(qubits::Integer; mixed=true, basis=:Z)
TableauSimulator(initial_state::QuantumClifford.MixedDestabilizer)

A QuantumClifford stabilizer simulator.

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MonitoredQuantumCircuits.QuantumClifford.native_codeV1 Method

fast_execute(circuit::MonitoredQuantumCircuits.CompiledCircuit, simulator::TableauSimulator)

This function executes the circuit using the TableauSimulator. It generates native QuantumClifford code which then gets executed. This makes executing the same circuit many times much faster and more efficient.

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MonitoredQuantumCircuits.QuantumClifford.state_entropy Method

state_entropy(state::AbstractStabilizer)

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

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MonitoredQuantumCircuits.QuantumClifford.tmi Method

tmi(state::AbstractStabilizer, A, B, C)

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

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