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_complex128-2.17.0.tar.gz (71.6 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_complex128-2.17.0-py3-none-win_amd64.whl (836.4 kB view details)

Uploaded Python 3Windows x86-64

pyqrack_cpu_complex128-2.17.0-py3-none-manylinux_2_39_x86_64.whl (3.1 MB view details)

Uploaded Python 3manylinux: glibc 2.39+ x86-64

pyqrack_cpu_complex128-2.17.0-py3-none-manylinux_2_35_x86_64.whl (3.1 MB view details)

Uploaded Python 3manylinux: glibc 2.35+ x86-64

pyqrack_cpu_complex128-2.17.0-py3-none-macosx_15_0_x86_64.whl (2.1 MB view details)

Uploaded Python 3macOS 15.0+ x86-64

pyqrack_cpu_complex128-2.17.0-py3-none-macosx_15_0_arm64.whl (1.9 MB view details)

Uploaded Python 3macOS 15.0+ ARM64

pyqrack_cpu_complex128-2.17.0-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_complex128-2.17.0.tar.gz.

File metadata

  • Download URL: pyqrack_cpu_complex128-2.17.0.tar.gz
  • Upload date:
  • Size: 71.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.14.4

File hashes

Hashes for pyqrack_cpu_complex128-2.17.0.tar.gz
Algorithm Hash digest
SHA256 d58a4d5a08c036684dd7af20c534d9e9d0f896cd54329d67c09fce23937496f0
MD5 8f7b37ec29685139e89d7fa3349c45f9
BLAKE2b-256 eb23a6c7087382d411b69e11f9a92fd0ad74763defda7246eb4b6f8989feee7d

See more details on using hashes here.

File details

Details for the file pyqrack_cpu_complex128-2.17.0-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for pyqrack_cpu_complex128-2.17.0-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 6274b811c3af05483ec92fbb23856f6c9a47065221340c00052c6533d5aa3941
MD5 69c7d5d98e1f16c0c452f8a77d697a0e
BLAKE2b-256 37382527723d817c1da85adc788f444da26281fc3bd573945cbad4982db38615

See more details on using hashes here.

File details

Details for the file pyqrack_cpu_complex128-2.17.0-py3-none-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for pyqrack_cpu_complex128-2.17.0-py3-none-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 18382ddc42a9a5b5584c5b9dfe7adc3cceb821eb7c359a97f89b26497d3807b7
MD5 fb9fa3a4628a29e9866dd3743fa6e6a0
BLAKE2b-256 de2484e3c68bcf2943c74a0266de7a076660e612449ed0516bd16df7cb03a61a

See more details on using hashes here.

File details

Details for the file pyqrack_cpu_complex128-2.17.0-py3-none-manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for pyqrack_cpu_complex128-2.17.0-py3-none-manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 58344787f0f6e9f09f14db406c896858a177f5116335782580e2e895e755f9d3
MD5 95e36a80d3d8167d6a50fd0b787c942f
BLAKE2b-256 c431f5f9fb00d4ff2a8766fdeac52d343cac0cdb4c17ec7803c2f1bcfddfd6ad

See more details on using hashes here.

File details

Details for the file pyqrack_cpu_complex128-2.17.0-py3-none-macosx_15_0_x86_64.whl.

File metadata

File hashes

Hashes for pyqrack_cpu_complex128-2.17.0-py3-none-macosx_15_0_x86_64.whl
Algorithm Hash digest
SHA256 fe3d4b788746c3d3334ccc31a3538bf2ed2854c3a7b1016faa8218512f98cbee
MD5 386394c3a06a37071ff359179410a956
BLAKE2b-256 dd66ba097d9bfb6ee5fb4795a27c7688829e24e489954567e51d29f1792df01d

See more details on using hashes here.

File details

Details for the file pyqrack_cpu_complex128-2.17.0-py3-none-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for pyqrack_cpu_complex128-2.17.0-py3-none-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 068352efe28041982361764fcdecb8f2db3129c0551882ee812446519a073cb8
MD5 f7abe8d500af14e5071d00fc8b055383
BLAKE2b-256 dfdab1623db5f84cd7b021b05e7c04f820cdc2c8b585c8271dd66bee6a3e1e3b

See more details on using hashes here.

File details

Details for the file pyqrack_cpu_complex128-2.17.0-py3-none-macosx_14_0_arm64.whl.

File metadata

File hashes

Hashes for pyqrack_cpu_complex128-2.17.0-py3-none-macosx_14_0_arm64.whl
Algorithm Hash digest
SHA256 415094cddd642058fbf59b332e8bd53d65969997a1ef1a9bc5eb5e252a284faf
MD5 e34b24a757e1d1c60d384b05e33fadf9
BLAKE2b-256 505e68a8cededad28b6328333b0abf727f955f2ea4b21d7dd45592dcea3fc4a5

See more details on using hashes here.

Release history Release notifications | RSS feed

2.17.2

2.17.1

This release

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

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