Python based QIR Evaluation (JIT) library.
Project description
pyqir-evaluator
The pyqir-evaluator
package provides an easy way to execute generated QIR for the
purpose of:
- easily testing and experimenting with QIR code
- connecting it to low-level Python-based lab software such as e.g. QCoDeS
It contains the necessary just-in-time compilation infrastructure as well as an extensibility mechanism to define what actions to perform when a gate is applied in Python.
Installation
The package is released on PyPI and can be installed via pip:
pip install pyqir-evaluator
Examples
There are evaluator examples in the repository.
Let's look at how to log the gate sequence for the Bernstein-Vazirani example.
We can evaluate the generated
bitcode
with NonadaptiveEvaluator
and GateLogger
to print out a simple log of the
quantum application:
from pyqir.evaluator import NonadaptiveEvaluator, GateLogger
from pathlib import Path
import os
path = Path(__file__).parent
file = os.path.join(path, "bernstein_vazirani.bc")
evaluator = NonadaptiveEvaluator()
logger = GateLogger()
evaluator.eval(file, logger)
print("# output from GateLogger")
logger.print()
This would generate the following output:
# output from GateLogger
qubits[9]
out[9]
x qubit[8]
h qubit[0]
h qubit[1]
h qubit[2]
h qubit[3]
h qubit[4]
h qubit[5]
h qubit[6]
h qubit[7]
h qubit[8]
cx qubit[2], qubit[8]
cx qubit[3], qubit[8]
h qubit[0]
h qubit[1]
h qubit[2]
h qubit[3]
h qubit[4]
h qubit[5]
h qubit[6]
h qubit[7]
measure qubits[0] -> out[0]
measure qubits[1] -> out[1]
measure qubits[2] -> out[2]
measure qubits[3] -> out[3]
measure qubits[4] -> out[4]
measure qubits[5] -> out[5]
measure qubits[6] -> out[6]
measure qubits[7] -> out[7]
measure qubits[8] -> out[8]
Contributing
There are many ways in which you can contribute to PyQIR, whether by contributing a feature or by engaging in discussions; we value contributions in all shapes and sizes! We refer to this document for guidelines and ideas for how you can get involved.
Contributing a pull request to this repo requires to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. A CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately. Simply follow the instructions provided by the bot. You will only need to do this once.
Building and Testing
See Building.
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