pyqrack

Downloads Downloads Downloads

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

(PyQrack is just pure Qrack.)

This is the purely CPU-based variant of PyQrack (with module name pyqrack-cpu). This alternate build of PyQrack is provided so that systems that won't use OpenCL or CUDA anyway (such as because they lack any GPUs or other accelerators like the Intel HD) do not need to install the OpenCL library in order to use PyQrack. In this form, both the PyQrack module and the underlying C++ Qrack library are entirely external dependency-free.

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."

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_cpu-2.15.1.tar.gz (71.4 kB view details)

Uploaded Source

Built Distributions

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

pyqrack_cpu-2.15.1-py3-none-win_amd64.whl (831.3 kB view details)

Uploaded Python 3Windows x86-64

pyqrack_cpu-2.15.1-py3-none-manylinux_2_39_x86_64.whl (3.1 MB view details)

Uploaded Python 3manylinux: glibc 2.39+ x86-64

pyqrack_cpu-2.15.1-py3-none-manylinux_2_35_x86_64.whl (3.1 MB view details)

Uploaded Python 3manylinux: glibc 2.35+ x86-64

pyqrack_cpu-2.15.1-py3-none-macosx_15_0_x86_64.whl (2.1 MB view details)

Uploaded Python 3macOS 15.0+ x86-64

pyqrack_cpu-2.15.1-py3-none-macosx_15_0_arm64.whl (1.9 MB view details)

Uploaded Python 3macOS 15.0+ ARM64

pyqrack_cpu-2.15.1-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_cpu-2.15.1.tar.gz.

File metadata

  • Download URL: pyqrack_cpu-2.15.1.tar.gz
  • Upload date:
  • Size: 71.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for pyqrack_cpu-2.15.1.tar.gz
Algorithm Hash digest
SHA256 d8716680e14e31d084c6f6a83eedb046d700b045c713468e416702cd0248b236
MD5 79a1b3608f350b724f6e40540ae9eafc
BLAKE2b-256 8a3a0f3cdbbb438b59c33305326315d32ef8cfe83e028132629d189dea64a238

See more details on using hashes here.

File details

Details for the file pyqrack_cpu-2.15.1-py3-none-win_amd64.whl.

File metadata

  • Download URL: pyqrack_cpu-2.15.1-py3-none-win_amd64.whl
  • Upload date:
  • Size: 831.3 kB
  • Tags: Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for pyqrack_cpu-2.15.1-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 217e4b826a0aaf542b706721ab0d81f71e41944510ae433e3be19a03389915a2
MD5 a5ea35b6545a2f674d5c36abb14d27d5
BLAKE2b-256 e76bb6eb0a154aec272096ef58ed0d447c5ed306222728286229d75a42a04c40

See more details on using hashes here.

File details

Details for the file pyqrack_cpu-2.15.1-py3-none-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for pyqrack_cpu-2.15.1-py3-none-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 4877dad0a1945aa08a9f32773fbd4ca8da51646c0f04e170bece486cf08fb760
MD5 74465a59039b9dc6216fa87cad0abc8d
BLAKE2b-256 c7451493d7c726fdc906fb694a1bbe56a65ff9b3ced3ad8163306526074b798b

See more details on using hashes here.

File details

Details for the file pyqrack_cpu-2.15.1-py3-none-manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for pyqrack_cpu-2.15.1-py3-none-manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 08ced5f1d72557f79b530dde3f1087c987c602971411ff1d9fa1654b1cb8a7cc
MD5 3de922740a0cab5eb5928118f2c61dbc
BLAKE2b-256 ce77e2020061ebab62409e5ec089fb57d1da116b7215152fe08d378826deed26

See more details on using hashes here.

File details

Details for the file pyqrack_cpu-2.15.1-py3-none-macosx_15_0_x86_64.whl.

File metadata

File hashes

Hashes for pyqrack_cpu-2.15.1-py3-none-macosx_15_0_x86_64.whl
Algorithm Hash digest
SHA256 170d34776300d5d6b940f21b17ea08808a7a31b8bf1110204d9e27151329c5fe
MD5 e750371651dce1e5b973e5b2b3c3f322
BLAKE2b-256 08ec92a38f9ef463f5cc2dfeb12396e614f334e2ebabf84dff11d286579fea70

See more details on using hashes here.

File details

Details for the file pyqrack_cpu-2.15.1-py3-none-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for pyqrack_cpu-2.15.1-py3-none-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 284a70d428562240593bc83e27c67f4e778a8b00c7a089eacd0a089cc3299ff7
MD5 56aa3af135e547f41b4637797a0f312e
BLAKE2b-256 90027a0a2d16ff2c706066502971d339835695a460cdbb64accf6c07f07afb5b

See more details on using hashes here.

File details

Details for the file pyqrack_cpu-2.15.1-py3-none-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for pyqrack_cpu-2.15.1-py3-none-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 b298f8057158197acd3bb6f5ed180427734e151e80238ca3d06d43db8f7b7123
MD5 c62f2c3aa27fae74fd7e801c5d34f161
BLAKE2b-256 d3cc2b433c191ad3b692162571c7723ccded3d4f7a3ce3cd41314003d7732128

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

This release

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

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

1.58.8

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

1.44.32

1.44.31

1.44.30

1.44.29

1.44.28

1.44.27

1.44.26

1.44.25

1.44.24

1.44.23

1.44.22

1.44.21

1.44.20

1.44.19

1.44.18

1.44.17

1.44.16

1.44.15

1.44.14

1.44.13

1.44.12

1.44.11

1.44.10

1.44.9

1.44.8

1.44.7

1.44.6 yanked

Reason this release was yanked:

Potential segfault in mid-circuit measurement

1.44.5

1.44.4

1.44.3

1.44.2

1.44.1

1.44.0

1.43.1

1.43.0

1.42.3

1.42.2

1.42.1

1.42.0

1.41.1

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

1.34.9

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

1.32.18 yanked

Reason this release was yanked:

1.32.17 is correct! The erata Qrack commit bc1d5d8 was unnecessary.

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

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