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_complex128-2.15.2.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_complex128-2.15.2-py3-none-win_amd64.whl (836.5 kB view details)

Uploaded Python 3Windows x86-64

pyqrack_cpu_complex128-2.15.2-py3-none-manylinux_2_39_x86_64.whl (3.1 MB view details)

Uploaded Python 3manylinux: glibc 2.39+ x86-64

pyqrack_cpu_complex128-2.15.2-py3-none-manylinux_2_35_x86_64.whl (3.1 MB view details)

Uploaded Python 3manylinux: glibc 2.35+ x86-64

pyqrack_cpu_complex128-2.15.2-py3-none-macosx_15_0_x86_64.whl (2.1 MB view details)

Uploaded Python 3macOS 15.0+ x86-64

pyqrack_cpu_complex128-2.15.2-py3-none-macosx_15_0_arm64.whl (1.9 MB view details)

Uploaded Python 3macOS 15.0+ ARM64

pyqrack_cpu_complex128-2.15.2-py3-none-macosx_14_0_arm64.whl (2.0 MB view details)

Uploaded Python 3macOS 14.0+ ARM64

File details

Details for the file pyqrack_cpu_complex128-2.15.2.tar.gz.

File metadata

  • Download URL: pyqrack_cpu_complex128-2.15.2.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_complex128-2.15.2.tar.gz
Algorithm Hash digest
SHA256 4cf1f915e637296df21e2224c6a76547744aa1dc20f23376f12757127ea3b0ea
MD5 f52f7bd91bcb951267c8e955d917dc6c
BLAKE2b-256 6268c3ba6df8c546e81143f151ccb20542c1311d651604fcc6135b78178e6055

See more details on using hashes here.

File details

Details for the file pyqrack_cpu_complex128-2.15.2-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for pyqrack_cpu_complex128-2.15.2-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 d139a0ae9b6d7f1a6f548eacd7794c41574e3c9943f005bb2838d8c53bdac1c3
MD5 2619a900770ff5e12fd633b9dfe53aab
BLAKE2b-256 b4879c5bea040a659d6702fdaf0609196df35c5067ea5c61723fe47f1cadbb81

See more details on using hashes here.

File details

Details for the file pyqrack_cpu_complex128-2.15.2-py3-none-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for pyqrack_cpu_complex128-2.15.2-py3-none-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 e36db4207bad87dd21de6ba341c669394bdd1e114b89e55a584f743d95bc9f34
MD5 9eb5a09c5655ad9a3a66347a67600e77
BLAKE2b-256 6d5455e518ae281d04dc6d460243bb8f8b28516f119fc31aa0dcaaa363227afe

See more details on using hashes here.

File details

Details for the file pyqrack_cpu_complex128-2.15.2-py3-none-manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for pyqrack_cpu_complex128-2.15.2-py3-none-manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 0d3eb2543b80ab3bcf0e9644881d26abcbc38bb523870256974327dfc7762e54
MD5 366f54c9c2a6bab6d3be7de6525b3933
BLAKE2b-256 65abcefba8290df159f7818480eed7df59bed7791e555ecf4e02069b623e933d

See more details on using hashes here.

File details

Details for the file pyqrack_cpu_complex128-2.15.2-py3-none-macosx_15_0_x86_64.whl.

File metadata

File hashes

Hashes for pyqrack_cpu_complex128-2.15.2-py3-none-macosx_15_0_x86_64.whl
Algorithm Hash digest
SHA256 64daaa38273ffc43f2f047f452bb37e119bfcc23c50929705507d462ad09d6d0
MD5 f94aad31bba01584f5d637960e959a5d
BLAKE2b-256 fc6011b7e9b73efa0566f96c414d3a23e81c55a434154dde8b5a623c49424ea6

See more details on using hashes here.

File details

Details for the file pyqrack_cpu_complex128-2.15.2-py3-none-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for pyqrack_cpu_complex128-2.15.2-py3-none-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 074f89041ae5557144cf7b026a9f6078caaf8ab6689e2dfbc4badca22e540d78
MD5 ec7396682ebe7b617076fe07af696aa1
BLAKE2b-256 e8c62b003c992c4944e3e7efad4fde44b04423cf9baa061694556d46f5f4437a

See more details on using hashes here.

File details

Details for the file pyqrack_cpu_complex128-2.15.2-py3-none-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for pyqrack_cpu_complex128-2.15.2-py3-none-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 ed79a95b0065e180d2ae7d66bf697d0fc5e31240ee4226368b5fca9a5b486f29
MD5 022957b96eb4d098833e4761a3b46475
BLAKE2b-256 5cf2db8a0f3edd6840de8690b7bd1a9513bc350f47331f2148a571bfbe524bd6

See more details on using hashes here.

Release history Release notifications | RSS feed

2.17.2

2.17.1

2.17.0

This release

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

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

1.75.0

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