The pytket extensions are separate python modules which allow pytket to interface with backends from a range of providers including quantum devices from Quantinuum and IBM.
In pytket a
Backend represents a connection to a QPU (Quantum Processing Unit) or simulator for processing quantum circuits. One can also access additional quantum devices and simulators via the cloud through the extensions for Azure and Braket .
Additionally, the extensions allow pytket to cross-compile circuits from different quantum computing libraries with the extensions for qiskit, cirq and pennylane . This enables pytket’s compilation features to be used in conjunction with other software tools.
The additional modules can be installed adding the extension name to the installation command for pytket. For example pytket-quantinuum can be installed by running
pip install pytket-quantinuum
The types of
Backend available in pytket are the following
Types of Backend#
QPUs - These are real quantum computers that return shots based results. E.g the QuantinuumBackend .
Cloud Access - Cloud backends allow pytket to interface with cloud platforms to access additional QPUs and simulators. E.g BraketBackend .
Emulators - These classically simulate a circuit and produce shots based results. Sometimes emulators use a noise model and have connectivity constraints to emulate real QPUs. E.g. IBMQEmulatorBackend .
Statevector Simulators - Calculates the pure quantum state prepared by a circuit returning a vector/ndarray. Examples of statevector simulators are the ForestStateBackend and the AerStateBackend .
Unitary Simulators - Unitary simulators calculate the unitary operator that is applied by a circuit. A unitary matrix/ndarray is returned AerUnitaryBackend is an example of such a simulator.
Density Matrix Simulators - These simulators compute the density matrix prepared by a circuit. The result can be a statistical mixture of states in contrast to statevector simulation. E.g. CirqDensityMatrixSampleBackend .
Other specialised simulators - There are extensions for simulating specific types of circuit. For instance the SimplexBackend is designed to simulate Clifford circuits.
A full list of available pytket backends is shown below.
IBMQBackend - A backend for running circuits on remote IBMQ devices.
IonQBackend - A backend for running circuits on remote IONQ devices.
ForestBackend - A backend for running circuits on remote Rigetti devices.
AQTBackend - Interface to an AQT device or simulator.
QuantinuumBackend - Interface to a remote Quantinuum device or simulator. There are currently two Quantinuum devices offered (H1-1 and H1-2).
IQMBackend - Interface to an IQM device or simulator.
AzureBackend - Backend for running circuits remotely using Azure Quantum devices and simulators.
BraketBackend - Interface to Amazon Braket service.
IBMQEmulatorBackend - A backend which uses the AerBackend to emulate the behavior of IBMQBackend.
QuantinuumBackend - The QuantinuumBackend has two available emulators namely H1-1E and H1-2E. These are device specific emulators for the H1-1 and H1-2 devices. These emualtors run remotely on a server.
CirqStateSampleBackend - Backend for Cirq statevector simulator sampling.
CirqStateSimBackend - Backend for Cirq statevector simulator state return.
AerStateBackend - Backend for running simulations on the Qiskit Aer Statevector simulator.
ForestStateBackend - State-based interface to a Rigetti device.
ProjectQBackend - Backend for running statevector simulations on the ProjectQ simulator.
AerUnitaryBackend - Backend for running simulations on the Qiskit Aer Unitary simulator.
Density Matrix Simulator#
CirqDensityMatrixSampleBackend - Backend for Cirq density matrix simulator sampling.
CirqDensityMatrixSimBackend - Backend for Cirq density matrix simulator density_matrix return.
CirqCliffordSampleBackend - Backend for Cirq Clifford simulator sampling.
CirqCliffordSimBackend - Backend for Cirq Clifford simulator state return.
SimplexBackend - Backend for simulating Clifford circuits using pysimplex.
StimBackend - Backend for simulating Clifford circuits using Stim.
- Backend for running simulations on the Qiskit Aer QASM simulator. This simulator is noiseless by default but can take a user defined
QulacsBackend - Backend for running simulations of variational quantum circuits on the Qulacs simulator.
QsharpSimulatorBackend - Backend for simulating a circuit using the QDK.
QsharpToffoliSimulatorBackend - Backend for simulating a Toffoli circuit using the QDK.
QsharpEstimatorBackend - Backend for estimating resources of a circuit using the QDK.