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-2.10.1.tar.gz (65.0 kB view details)

Uploaded Source

Built Distributions

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

pyqrack-2.10.1-py3-none-win_amd64.whl (1.0 MB view details)

Uploaded Python 3Windows x86-64

pyqrack-2.10.1-py3-none-manylinux_2_39_x86_64.whl (3.7 MB view details)

Uploaded Python 3manylinux: glibc 2.39+ x86-64

pyqrack-2.10.1-py3-none-manylinux_2_35_x86_64.whl (3.7 MB view details)

Uploaded Python 3manylinux: glibc 2.35+ x86-64

pyqrack-2.10.1-py3-none-macosx_15_0_x86_64.whl (2.1 MB view details)

Uploaded Python 3macOS 15.0+ x86-64

pyqrack-2.10.1-py3-none-macosx_15_0_arm64.whl (1.9 MB view details)

Uploaded Python 3macOS 15.0+ ARM64

pyqrack-2.10.1-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-2.10.1.tar.gz.

File metadata

  • Download URL: pyqrack-2.10.1.tar.gz
  • Upload date:
  • Size: 65.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for pyqrack-2.10.1.tar.gz
Algorithm Hash digest
SHA256 dd712161330b85e1e09917ac4fce68934811d9cc1a26aa9c83a7b547936acf11
MD5 65d13ac86176627b5ae85ebbe15ed8b3
BLAKE2b-256 676e01c966fce24bafdf66a3217622fe1a5d6700adc43da1f35b205ce6743178

See more details on using hashes here.

File details

Details for the file pyqrack-2.10.1-py3-none-win_amd64.whl.

File metadata

  • Download URL: pyqrack-2.10.1-py3-none-win_amd64.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.4

File hashes

Hashes for pyqrack-2.10.1-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 478d43d7c7186670d445ce987b8ca1d1a03311dfb1930362133c8c9bb271bbb7
MD5 5a58a89e3f83f9f702df8a484fcb44cf
BLAKE2b-256 fd103c0e2e44852545edd58cc050383de607229a402a4557f87e0cc9d44356c4

See more details on using hashes here.

File details

Details for the file pyqrack-2.10.1-py3-none-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for pyqrack-2.10.1-py3-none-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 927952c2e65104e729b1303b053069a631e24e446120b8dafe09f5b70aca3dbe
MD5 286133dc0a4e4e3a7d33e3ff65c8ebcd
BLAKE2b-256 64bf6a83d1b634996ad11993e594f36a768e1811e3c152bb421f672d6d94ddf0

See more details on using hashes here.

File details

Details for the file pyqrack-2.10.1-py3-none-manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for pyqrack-2.10.1-py3-none-manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 4a0400345dca1bb522ae5177524c3424117b56240d3e8ab29ace4a861f969af4
MD5 0578de8ad46a25e8fb5d5ce4de4cdfa9
BLAKE2b-256 1d2396c1165725b97f66b883c3a688b2d7d38c5d0e98cf16c78640fa12359276

See more details on using hashes here.

File details

Details for the file pyqrack-2.10.1-py3-none-macosx_15_0_x86_64.whl.

File metadata

File hashes

Hashes for pyqrack-2.10.1-py3-none-macosx_15_0_x86_64.whl
Algorithm Hash digest
SHA256 58d1061db08f58e3632a4e334f552b45a2c1bc2e781c0f705fac837f0189473d
MD5 0fe7538f5aeaeec148a6c23185a2d1bb
BLAKE2b-256 ada91ab2d388501306226ff152eb8a8d843efe3206f7313e8d58c7725f1b58d9

See more details on using hashes here.

File details

Details for the file pyqrack-2.10.1-py3-none-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for pyqrack-2.10.1-py3-none-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 627c426b35c87afb832b526241e4462af098b7e129a7e4e024b7cef58c2213e4
MD5 6df4d5ae4764d31610bc863626a40455
BLAKE2b-256 5124ab5c770ace408b556b516f1634949c9ddf7d8f905de0c95549d2fb413a87

See more details on using hashes here.

File details

Details for the file pyqrack-2.10.1-py3-none-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for pyqrack-2.10.1-py3-none-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 83d38621294463a1f1d09a6d74de22aa996fa6d7d601c65e70aa1f51765dfd0c
MD5 8676c67d0b1cac2e29ef3a1b48c55bea
BLAKE2b-256 27722dbdfdbc93553a84671c89c204585a62cc5a2d036d7f5b41c5583829080c

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

This release

2.10.1

2.10.0

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

1.84.3

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

1.58.8

1.58.7

1.58.6

1.58.5

1.58.0

1.57.1

1.57.0

1.56.0

1.55.4

1.55.3

1.55.2

1.55.1

1.55.0

1.54.5

1.54.4

1.54.3

1.54.2

1.54.1

1.54.0

1.53.3

1.53.2

1.53.1

1.53.0

1.52.8

1.52.7

1.52.6

1.52.5

1.52.4

1.52.3

1.52.2

1.52.1

1.52.0

1.51.0

1.50.1

1.50.0

1.49.9

1.49.8

1.49.6

1.49.5

1.49.4

1.49.3

1.49.2

1.49.1

1.49.0

1.48.3

1.48.2

1.48.1

1.48.0

1.47.1

1.47.0

1.46.7

1.46.6

1.46.5

1.46.4

1.46.3

1.46.2

1.46.1

1.46.0

1.45.2

1.45.1

1.45.0

1.44.35

1.44.34

1.44.33

1.43.1

1.43.0

1.42.3

1.42.2

1.42.1

1.42.0

1.41.1

1.41.0

1.40.3

1.40.2

1.40.1

1.40.0

1.39.0

1.38.3

1.38.2

1.38.1

1.38.0

1.37.0

1.36.1

1.36.0

1.35.10

1.35.9

1.35.8

1.35.6

1.35.5

1.35.4

1.35.0

1.34.9

1.34.8

1.34.7

1.34.6

1.34.5

1.34.4

1.34.0

1.33.1

1.33.0

1.32.31

1.32.29

1.32.28

1.32.27

1.32.26

1.32.25

1.32.21

1.32.20

1.32.19

1.32.17

1.32.16

1.32.15

1.32.14

1.32.13

1.32.12

1.32.11

1.32.10

1.32.9

1.32.8

1.32.7

1.32.6

1.32.5

1.32.0

1.31.1

1.31.0

1.30.31

1.30.30

1.30.29

1.30.28

1.30.26

1.30.25

1.30.24

1.30.23

1.30.22

1.30.20

1.30.16

1.30.15

1.30.13

1.30.11

1.30.8

1.30.7

1.30.2

1.30.1

1.30.0

1.29.14

1.29.10

1.29.9

1.29.8

1.29.6

1.29.5

1.29.4

1.29.3

1.29.2

1.29.1

1.29.0

1.28.0

1.27.8

1.27.1

1.27.0

1.26.16

1.26.13

1.26.11

1.26.8

1.26.5

1.26.0

1.25.2

1.25.1

1.25.0

1.24.11

1.24.10

1.24.9

1.24.8

1.24.7

1.24.6

1.24.1

1.24.0

1.23.1

1.23.0

1.22.0

1.21.4

1.21.3

1.21.2

1.21.1

1.21.0

1.20.10

1.20.9

1.20.8

1.20.7

1.20.6

1.20.5

1.20.4

1.20.3

1.20.2

1.20.1

1.20.0

1.19.3

1.19.2

1.19.1

1.19.0

1.18.6

1.18.5

1.18.4

1.18.3

1.18.2

1.18.1

1.18.0

1.17.11

1.17.10

1.17.9

1.17.8

1.17.7

1.17.6

1.17.5

1.17.4

1.17.3

1.17.2

1.17.1

1.17.0

1.16.5

1.16.4

1.16.3

1.16.2

1.16.1

1.16.0

1.15.1

1.15.0

1.14.2

1.14.1

1.14.0

1.13.5

1.13.4

1.13.3

1.13.2

1.13.1

1.13.0

1.12.3

1.12.2

1.12.1

1.12.0

1.11.4

1.11.3

1.11.2

1.11.1

1.11.0

1.10.7

1.10.6

1.9.5

1.8.4

1.7.0

1.6.4

1.5.2

1.4.3

1.3.0

1.2.1

1.1.1

1.0.7

1.0.0

0.21.20

0.20.6

0.19.6

0.18.9

0.17.7

0.16.4

0.15.3

0.13.1

0.12.1

0.11.4

0.10.15

0.9.2

0.8.8

0.7.13

0.6.0

0.5.3

0.4.4

0.3.4

0.2.0

0.1.3

0.1.0

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