pyqir-generator 0.3.1a1

Python based QIR generator library.

pyqir-generator

The pyqir-generator package provides the ability to generate QIR using a Python API.

It is intended to be used by code automating translation processes enabling the conversion in some format to QIR via Python; i.e., this is a low-level API intended to be used as a bridge to existing Python frameworks enabling the generation of QIR rather than directly consumed by an end-user. It is not intended to be used as a framework for algorithm and application development.

Installation

The package is released on PyPI and can be installed via pip:

pip install pyqir-generator

Examples

There are generator examples in the repository.

Let's look at a short example. The following code creates QIR for a Bell pair before measuring each qubit and returning the result. The unoptimized QIR is displayed in the terminal when executed:

from pyqir.generator import BasicQisBuilder, SimpleModule

module = SimpleModule("Bell", num_qubits=2, num_results=2)
qis = BasicQisBuilder(module.builder)

qis.h(module.qubits[0])
qis.cx(module.qubits[0], module.qubits[1])

qis.m(module.qubits[0], module.results[0])
qis.m(module.qubits[1], module.results[1])

print(module.ir())

The QIR output will look like:

; ModuleID = 'Bell'
source_filename = "Bell"

%Qubit = type opaque
%Result = type opaque

define void @main() #0 {
entry:
  call void @__quantum__qis__h__body(%Qubit* null)
  call void @__quantum__qis__cnot__body(%Qubit* null, %Qubit* inttoptr (i64 1 to %Qubit*))
  %result0 = call %Result* @__quantum__qis__m__body(%Qubit* null)
  %result1 = call %Result* @__quantum__qis__m__body(%Qubit* inttoptr (i64 1 to %Qubit*))
  ret void
}

declare void @__quantum__qis__h__body(%Qubit*)

declare void @__quantum__qis__cnot__body(%Qubit*, %Qubit*)

declare %Result* @__quantum__qis__m__body(%Qubit*)

attributes #0 = { "EntryPoint" "requiredQubits"="2" }

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.

Current Limitations

• Classical computation and control flow are not yet fully supported.
• Only branching based on measurement results is currently possible.
• See issue #2: Support control flow and classical computation in PyQIR Generator.