Skip to main content

PyQIR parses, generates and evaluates the Quantum Intermediate Representation.

Project description

PyQIR

The pyqir package provides the ability to generate QIR as well as an easy way to parse and analyze QIR.

QIR generation 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

Examples

PyQIR examples can be found in this repository's examples folder.

Generation

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 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.mz(module.qubits[0], module.results[0])
qis.mz(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*))
  call void @__quantum__qis__mz__body(%Qubit* null, %Result* null)
  call void @__quantum__qis__mz__body(%Qubit* inttoptr (i64 1 to %Qubit*), %Result* inttoptr (i64 1 to %Result*))
  ret void
}

declare void @__quantum__qis__h__body(%Qubit*)

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

declare void @__quantum__qis__mz__body(%Qubit*, %Result* writeonly) #1

attributes #0 = { "entry_point" "output_labeling_schema" "qir_profiles"="custom" "required_num_qubits"="2" "required_num_results"="2" }
attributes #1 = { "irreversible" }

!llvm.module.flags = !{!0, !1, !2, !3}

!0 = !{i32 1, !"qir_major_version", i32 1}
!1 = !{i32 7, !"qir_minor_version", i32 0}
!2 = !{i32 1, !"dynamic_qubit_management", i1 false}
!3 = !{i32 1, !"dynamic_result_management", i1 false}

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

pyqir-0.10.5-cp38-abi3-win_amd64.whl (1.7 MB view details)

Uploaded CPython 3.8+ Windows x86-64

pyqir-0.10.5-cp38-abi3-manylinux_2_31_x86_64.whl (2.3 MB view details)

Uploaded CPython 3.8+ manylinux: glibc 2.31+ x86-64

pyqir-0.10.5-cp38-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (3.4 MB view details)

Uploaded CPython 3.8+ macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64

File details

Details for the file pyqir-0.10.5-cp38-abi3-win_amd64.whl.

File metadata

  • Download URL: pyqir-0.10.5-cp38-abi3-win_amd64.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: CPython 3.8+, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: RestSharp/106.13.0.0

File hashes

Hashes for pyqir-0.10.5-cp38-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 c2d4f116a45096cfa40f9976e9f36405b30ac736e03fe268fcf132e3bd37986e
MD5 0bc9d5694d6a51e6f5d8fb5fb9313231
BLAKE2b-256 c1a92ea24b7698c62d9e568851096b4f54a382117e7fa2eeca9426032ec44641

See more details on using hashes here.

File details

Details for the file pyqir-0.10.5-cp38-abi3-manylinux_2_31_x86_64.whl.

File metadata

File hashes

Hashes for pyqir-0.10.5-cp38-abi3-manylinux_2_31_x86_64.whl
Algorithm Hash digest
SHA256 f035e8af16c6ed8c0348b5bd87f96c3a924250460a78b320d8a510029549bd82
MD5 1f78ba48b58dc6fa4bdfb6dee8cc0d84
BLAKE2b-256 f03cb4fc454c544334f55950310019079e65258c085cf4dea682c7ca098982a6

See more details on using hashes here.

File details

Details for the file pyqir-0.10.5-cp38-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for pyqir-0.10.5-cp38-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 20253285e76c94887a9b85674f61b36392045dc63ce2b91aa9b632f4ec1b9f30
MD5 4496aaafc50dfd737dcad636f96b5007
BLAKE2b-256 2104decb8fe41565b65a6043c190f1d2cf954070f7a479965d47d60f20fe1603

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page