pyqrack

Downloads Downloads Downloads

Pure Python bindings for the pure C++11/OpenCL Qrack quantum computer simulator library

(PyQrack is just pure Qrack.)

Note: You must also install OpenCL to use this version of Qrack. (There are also CPU-only and CUDA version.)

If you're looking for Mac ARM support, use the package pyqrack, not pyqrack-cpu. Mac officially "deprecated" OpenCL years ago. Hence, accelerator support is not included in ARM-based Mac wheels, and OpenCL installation is not required on these systems, but, if you have a CUDA accelerator on ARM-based Mac, you could try the package pyqrack-cuda instead.

Performance can benefit greatly from following the Qrack repository "Quick Start" and "Power user considerations."

If you use an integrated graphics accelerator, like the Intel HD, setting environment variable PYQRACK_HOST_POINTER_DEFAULT_ON=1 (or to any "truthy" value) will automatically set the default of isHostPointer option of QrackSimulator to True, to engage "zero-copy" mode by default.

Import and instantiate QrackSimulator instances. This simulator can perform arbitrary single qubit and controlled-single-qubit gates, as well as other specific gates like SWAP.

Any 2x2 bit operator matrix is represented by a list of 4 complex floating point numbers, in row-major order.

Single and array "b" parameters represent Pauli operator bases. They are specified according to the enumeration of the Pauli class.

MC[x] and MAC[x] methods are controlled single bit gates, with as many control qubits as you specify via Python list c argument. MCX is multiply-controlled Pauli X, and MACX is "anti-"controlled Pauli X, i.e. "anti-control" activates the gate if all control bits are specifically off, as opposed to on.

To load the required unitaryfund/qrack libraries from a different location, set the PYQRACK_SHARED_LIB_PATH environment variable.

PyQrack has experimental support for PyZX Circuit definitions as an intermediate representation for QrackSimulator. To try this, load a Circuit in PyZX, (use that module to optimize your circuit, as you like,) and create a QrackSimulator() instance using the pyzxCircuit named argument of the constructor, like so:

sim = QrackSimulator(pyzxCircuit=c)

where c is a PyZX circuit object. The circuit will automatically be simulated in the constructed QrackSimulator instance. This also allows loading from QASM and other intermediate representations supported by PyZX.

See https://pyqrack.readthedocs.io/en/latest/ for an API reference.

For custom Qrack build floating-point precision, where options are half, float, double, and quad, set an environment variable via export QRACK_FPPOW=[n] (or as appropriate to your shell) where [n] is the logarithm base 2 of the number of bits in the systemic floating point type (4, 5, 6, or 7, with 5 or float as default, i.e. 2**5=32 for 32-bit float). Your Qrack installation floating-point build option must match this specific value, which might require a custom Qrack build.

Please feel welcome to open an issue, if you'd like help. 😃

Special thanks go to Zeeshan Ahmed, for bug fixes and design suggestions, Ashish Panigrahi, for documentation and design suggestions, WingCode, for documentation, Or Golan, for CI build pipeline tooling, and to the broader community of Qrack contributors, for years of happy Qracking! You rock!

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (2.17.2)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for WrathfulSpatula from gravatar.com WrathfulSpatula

Credits

PyPI data
Data sourced directly from PyPI's database.

Author: Daniel Strano

License

MIT

Provides Extra

dev

Tags

pyqrack qrack simulator quantum gpu

Classifiers

Report project as malware

Download files

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

Source Distribution

pyqrack_complex128-2.9.0.tar.gz (62.7 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pyqrack_complex128-2.9.0-py3-none-win_amd64.whl (1.0 MB view details)

Uploaded Python 3Windows x86-64

pyqrack_complex128-2.9.0-py3-none-manylinux_2_39_x86_64.whl (3.7 MB view details)

Uploaded Python 3manylinux: glibc 2.39+ x86-64

pyqrack_complex128-2.9.0-py3-none-manylinux_2_35_x86_64.whl (3.7 MB view details)

Uploaded Python 3manylinux: glibc 2.35+ x86-64

pyqrack_complex128-2.9.0-py3-none-macosx_15_0_x86_64.whl (2.1 MB view details)

Uploaded Python 3macOS 15.0+ x86-64

pyqrack_complex128-2.9.0-py3-none-macosx_15_0_arm64.whl (1.9 MB view details)

Uploaded Python 3macOS 15.0+ ARM64

pyqrack_complex128-2.9.0-py3-none-macosx_14_0_arm64.whl (1.9 MB view details)

Uploaded Python 3macOS 14.0+ ARM64

File details

Details for the file pyqrack_complex128-2.9.0.tar.gz.

File metadata

  • Download URL: pyqrack_complex128-2.9.0.tar.gz
  • Upload date:
  • Size: 62.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for pyqrack_complex128-2.9.0.tar.gz
Algorithm Hash digest
SHA256 0247ead9f93e745eb7291c17642f9af434c2b383934bc127ae4ba4734df26d67
MD5 8040ae705ebd65f66dfb2b17d9287fb5
BLAKE2b-256 7d56a63948821a0ed77ee1c2b0c0b8eb404e2f483d86df24a23112d070a45a64

See more details on using hashes here.

File details

Details for the file pyqrack_complex128-2.9.0-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for pyqrack_complex128-2.9.0-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 1f406e472ca331e9cca964200c1b83910a7eb97ccaee99ad1f9081ea7eed2001
MD5 32da6c5f019d27723d009eb0e7d61232
BLAKE2b-256 be202552d66788928af70c0d1e10749500f2ef556feb33da2ea1c316f06785d3

See more details on using hashes here.

File details

Details for the file pyqrack_complex128-2.9.0-py3-none-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for pyqrack_complex128-2.9.0-py3-none-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 66a9dc9c29fae7af79cc037276af1425c7a40d392297c53c141b3294113f87fb
MD5 439eb6b40323be842058caac38dfa47d
BLAKE2b-256 97e14fd42ae5c3f8da5f740f5eeb2f7c8e5187800af19ea351d2f7a5cf518bea

See more details on using hashes here.

File details

Details for the file pyqrack_complex128-2.9.0-py3-none-manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for pyqrack_complex128-2.9.0-py3-none-manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 ffb9166c9d3e9c1a96e3925c8c86ab65ac7336fa7b2af5d9020846d4b2c37bf1
MD5 dd4b7bbba9f0185f296d57e934bf83cc
BLAKE2b-256 7678e36bd84698cdb1ebe7670484548d449aa373305510f21c5e9ef611f99fd3

See more details on using hashes here.

File details

Details for the file pyqrack_complex128-2.9.0-py3-none-macosx_15_0_x86_64.whl.

File metadata

File hashes

Hashes for pyqrack_complex128-2.9.0-py3-none-macosx_15_0_x86_64.whl
Algorithm Hash digest
SHA256 2a97565c7a8b20edfe7b260a6eb4456f564bd366ea25debbde10015033b5d81a
MD5 1658bcb6491211cbb541e93d40bb5dab
BLAKE2b-256 5629ebc49c258879d17c6b02dba65e64099a13394ebad3f79ac42c84efe52e49

See more details on using hashes here.

File details

Details for the file pyqrack_complex128-2.9.0-py3-none-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for pyqrack_complex128-2.9.0-py3-none-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 bfa36962fdcd32b8fc7f50da27e97ef78ea32c03e4334c033f956d6c21eda187
MD5 4021f0bd7b4198b90ace63d85a143812
BLAKE2b-256 4c8a82ee22a88ab8aac5d6a3b3b71a25e65d01331fe9aa2e1e00ce58034fae75

See more details on using hashes here.

File details

Details for the file pyqrack_complex128-2.9.0-py3-none-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for pyqrack_complex128-2.9.0-py3-none-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 6e2a2b9bdcf2fbdde4631335005fea29dfa970c28cdb43e66a66c7cd84e20fed
MD5 966ade3877c15011d9762281c517d616
BLAKE2b-256 4106ca6a904e3f6e6c966880df66b366b240c28df7f395c198e026f4497b2dde

See more details on using hashes here.

Release history Release notifications | RSS feed

2.17.2

2.17.1

2.17.0

2.15.2

2.15.1

2.15.0

2.14.0

2.13.2

2.13.1

2.13.0

2.12.0

2.11.1

2.11.0

2.10.1

2.10.0

This release

2.9.0

2.8.0

2.7.1

2.7.0

2.6.1

2.5.1

2.5.0

2.4.0

2.3.1

2.3.0

2.2.4

2.2.3

2.2.2

2.2.1

2.2.0

2.1.2

2.1.1

2.1.0

2.0.2

2.0.1

2.0.0

1.89.0

1.88.1

1.88.0

1.87.5

1.87.4

1.87.3

1.87.2

1.87.1

1.87.0

1.86.0

1.85.0

1.84.14

1.84.13

1.84.12

1.84.11

1.84.10

1.84.9

1.84.8

1.84.7

1.84.6

1.84.5

1.84.4 yanked

Reason this release was yanked:

Empirical results are worse

1.84.3

1.84.2

1.84.1

1.84.0

1.83.1

1.83.0

1.82.3

1.82.2

1.82.1

1.82.0

1.81.0

1.80.8

1.80.7

1.80.6

1.80.5

1.80.4

1.80.3

1.80.2

1.80.1

1.80.0

1.79.0

1.78.5

1.78.4

1.78.3

1.78.2

1.78.1

1.78.0

1.77.0

1.76.0

1.75.9

1.75.1

1.75.0

1.74.0

1.73.0

1.72.6

1.72.5

1.72.4

1.72.3

1.72.2

1.72.1

1.71.2

1.71.1

1.71.0

1.70.4

1.70.3

1.70.2

1.70.1

1.70.0

1.69.1

1.69.0

1.68.1

1.68.0

1.67.0

1.66.8

1.66.7

1.66.6

1.66.0

1.65.6

1.65.5

1.65.4

1.65.3

1.65.2

1.65.1

1.65.0

1.64.2

1.64.1

1.64.0

1.63.0

1.62.0

1.61.3

1.61.2

1.61.1

1.61.0

1.60.0

1.59.0

1.58.10

1.58.9

1.58.0

Supported by

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