pytket

pytket
is a python module for interfacing with CQC tket, a set of quantum
programming tools. We currently support circuits and device architectures from
numerous providers, allowing the
tket tools to be used in conjunction with projects on their platforms.
pytket
is available for Python 3.8, 3.9 and 3.10, on Linux, MacOS and
Windows. To install, run
pip install pytket
Note
On M1-based Macs running in native (arm64) mode, this command may fail
because of an issue installing scipy
. To fix this:
Install brew (if you haven’t already);
brew install openblas
;pip install -U pip wheel
;OPENBLAS="$(brew --prefix openblas)" pip install scipy
;pip install pytket
.
To use pytket
, you can simply import the appropriate modules into your python code or in an interactive Python notebook. We can build circuits directly using the pytket
interface by creating a blank circuit and adding gates in the order we want to apply them.
from pytket import Circuit
c = Circuit(2,2) # define a circuit with 2 qubits and 2 bits
c.H(0) # add a Hadamard gate to qubit 0
c.Rz(0.25, 0) # add an Rz gate of angle 0.25*pi to qubit 0
c.CX(1,0) # add a CX gate with control qubit 1 and target qubit 0
c.measure_all() # measure qubits 0 and 1, recording the results in bits 0 and 1
Some of the extension modules define Backend
s, allowing the circuits to be run on simulators or real quantum hardware. For example, pytket-qiskit
grants access to the AerBackend
simulator which can sample from measurements.
from pytket.extensions.qiskit import AerBackend
b = AerBackend() # connect to the backend
compiled = b.get_compiled_circuit(c) # compile the circuit to satisfy the backend's requirements
handle = b.process_circuit(compiled, 100) # submit the job to run the circuit 100 times
counts = b.get_result(handle).get_counts() # retrieve and summarise the results
print(counts)
This prints out a summary of readouts (the final values of the classical bits) and their frequencies.
{(0, 0): 49, (1, 0): 51}
See the Getting Started page for a basic tutorial on using
pytket
. To get more in depth on features, see the examples. See the Pytket User Manual for an extensive introduction to pytket
functionaliy and how to use it.
Extensions
To use pytket in conjunction with other platforms you must download an
additional separate module for each. Each one of these adds either some new
methods to the pytket
package to convert between the circuit
representations, or some new backends to submit circuits to within pytket
.
Extension modules can be installed using pip
. The extensions supported by
CQC are described
here.
Note
The syntax for importing backends from extension modules has changed
slightly in version 0.8 of pytket
. When importing FooBackend
,
instead of doing
from pytket.backends.something import FooBackend
you should now do
from pytket.extensions.bar import FooBackend
where FooBackend
is defined in the pytket-bar
extension module.
This may entail some changes to existing code. For example, you should change
from pytket.backends.ibm import AerBackend
to
from pytket.extensions.qiskit import AerBackend
because AerBackend
is defined in the pytket-qiskit
module.
(In many cases, something
and bar
are identical, and you just need
to change backends
to extensions
. For example,
pytket.backends.aqt
becomes pytket.extensions.aqt
.)
How to cite
If you wish to cite tket in any academic publications, we generally recommend citing our software overview paper for most cases.
If your work is on the topic of specific compilation tasks, it may be more appropriate to cite one of our other papers:
“On the qubit routing problem” for qubit placement (aka allocation, mapping) and routing (aka swap network insertion, connectivity solving).
“Phase Gadget Synthesis for Shallow Circuits” for representing exponentiated Pauli operators in the ZX calculus and their circuit decompositions.
“A Generic Compilation Strategy for the Unitary Coupled Cluster Ansatz” for sequencing of terms in Trotterisation and Pauli diagonalisation.
We are also keen for others to benchmark their compilation techniques against us. We recommend checking our benchmark repository for examples on how to run basic benchmarks with the latest version of pytket
. Please list the release version of pytket
with any benchmarks you give, and feel free to get in touch for any assistance needed in setting up fair and representative tests.
User Support
If you have problems with the use of tket or you think that you have found a bug there are several ways to contact us:
You can join the tket-users mailing list. If you have questions or ideas and wishes for new features you can send an email to the list and ask for help. You can also join the list to get the newest information and get in contact with other users of tket.
Write an email to tket-support@cambridgequantum.com and ask for help with your problem.
You can write a bug report on the CQC github with details of the problem and we will pick that up. You can also have a look on that page so see if your problem has already been reported by someone else.
We are really thankful for all help to fix bugs in tket. Usually you will get an answer from someone in the development team of tket soon.
LICENCE
Licensed under the Apache 2 License.
More Documentation: