Skip to main content

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!

Metadata

Release files for pyqrack-cpu-complex128 2.25.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pyqrack-cpu-complex128 2.25.1
File Size Uploaded
pyqrack_cpu_complex128-2.25.1.tar.gz 84.3 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for pyqrack-cpu-complex128 2.25.1
File
pyqrack_cpu_complex128-2.25.1-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details
pyqrack_cpu_complex128-2.25.1-py3-none-manylinux_2_39_x86_64.whl Python 3 none Linux glibc 2.39+ x86-64 Details
pyqrack_cpu_complex128-2.25.1-py3-none-manylinux_2_35_x86_64.whl Python 3 none Linux glibc 2.35+ x86-64 Details
pyqrack_cpu_complex128-2.25.1-py3-none-macosx_15_0_x86_64.whl Python 3 none macOS 15.0+ x86-64 Details
pyqrack_cpu_complex128-2.25.1-py3-none-macosx_15_0_arm64.whl Python 3 none macOS 15.0+ ARM64 Details
pyqrack_cpu_complex128-2.25.1-py3-none-macosx_14_0_arm64.whl Python 3 none macOS 14.0+ ARM64 Details

Total release size: 13.2 MB

Release files / pyqrack_cpu_complex128-2.25.1.tar.gz

Download URL pyqrack_cpu_complex128-2.25.1.tar.gz
Size 84.3 kB
Tags Source
SHA-256 checksum
How to use checksums
4f04c9124a9ef8be40b0b76072d67420ccbffbec6e4347ccf7eae71f9e8e0b27
BLAKE2b-256 checksum
How to use checksums
7f0fce7e1c8bcb92f5abec1a2197d5acfc76a55638fca4bbe9aed5b868da8145
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.4

Release files / pyqrack_cpu_complex128-2.25.1-py3-none-win_amd64.whl

Download URL pyqrack_cpu_complex128-2.25.1-py3-none-win_amd64.whl
Size 850.3 kB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
1523b6d1eb4bb5e8ea7f1c9e1dc23c6e6c19a8ce97dfec2028dcbf7231c665c8
BLAKE2b-256 checksum
How to use checksums
18dbfded308a76dd2c2c590b8cb03c61f3aec0f57b413bdc8d0b05d34818f7d5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.4

Release files / pyqrack_cpu_complex128-2.25.1-py3-none-manylinux_2_39_x86_64.whl

Download URL pyqrack_cpu_complex128-2.25.1-py3-none-manylinux_2_39_x86_64.whl
Size 3.1 MB
Tags Linux glibc 2.39+ x86-64 Python 3
SHA-256 checksum
How to use checksums
34a808d9ed94c409cc68e54ecaaf9fd2ab8c0b597422257ca29a80d5bc62937a
BLAKE2b-256 checksum
How to use checksums
d26968869e4f6c9f81e9d1bd98328e1763d4505d2b6e90208a97c715fcfafe2e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.4

Release files / pyqrack_cpu_complex128-2.25.1-py3-none-manylinux_2_35_x86_64.whl

Download URL pyqrack_cpu_complex128-2.25.1-py3-none-manylinux_2_35_x86_64.whl
Size 3.1 MB
Tags Linux glibc 2.35+ x86-64 Python 3
SHA-256 checksum
How to use checksums
8ad2af062045bdca16c3d6931a1f182036de94aaa930bde719dfafae018f28b1
BLAKE2b-256 checksum
How to use checksums
3a0ca885e3196bd3e9a048ceb9611be2d89a72ee7cc54ac2241be8efe3f49822
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.4

Release files / pyqrack_cpu_complex128-2.25.1-py3-none-macosx_15_0_x86_64.whl

Download URL pyqrack_cpu_complex128-2.25.1-py3-none-macosx_15_0_x86_64.whl
Size 2.1 MB
Tags Python 3 macOS 15.0+ x86-64
SHA-256 checksum
How to use checksums
0c49bf4b15f9e1098cf5224a8793da1ec01811ae4fa3810f7740e2e8e10a968d
BLAKE2b-256 checksum
How to use checksums
44fd9567595a5e983a8b5da98265159003aaeebd92e24ca8e951351a9616c494
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.4

Release files / pyqrack_cpu_complex128-2.25.1-py3-none-macosx_15_0_arm64.whl

Download URL pyqrack_cpu_complex128-2.25.1-py3-none-macosx_15_0_arm64.whl
Size 1.9 MB
Tags Python 3 macOS 15.0+ ARM64
SHA-256 checksum
How to use checksums
f35890f1333f1ac73933681592fef52ff837e9b17dcc0a676a54b1ee134e2a72
BLAKE2b-256 checksum
How to use checksums
e5a0b02420723b462c1f66cec9f7e6d036b1ddf8580d7ae76b5aae33d6a7ee17
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.4

Release files / pyqrack_cpu_complex128-2.25.1-py3-none-macosx_14_0_arm64.whl

Download URL pyqrack_cpu_complex128-2.25.1-py3-none-macosx_14_0_arm64.whl
Size 2.0 MB
Tags Python 3 macOS 14.0+ ARM64
SHA-256 checksum
How to use checksums
221a90ecb0c969d8ea1fadbd86e7118b224ea93f0922575c71df56e2404c81f7
BLAKE2b-256 checksum
How to use checksums
bb8fb98f50e7a15463d0436b3251b3940b92f54d2daccee385879698db9a32c4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.4

Release history Release notifications | RSS feed

2.26.5

7 release files

2.26.4

7 release files

2.26.2

7 release files

2.26.1

7 release files

2.26.0

7 release files

2.25.5

7 release files

2.25.4

7 release files

2.25.3

7 release files

2.25.2

7 release files

This release

2.25.1 This release

7 release files

2.25.0

7 release files

2.24.0

7 release files

2.23.0

7 release files

2.22.4

7 release files

2.22.3

7 release files

2.19.3

7 release files

2.19.2

7 release files

2.19.1

7 release files

2.19.0

7 release files

2.18.9

7 release files

2.18.8

7 release files

2.18.7

7 release files

2.18.6

7 release files

2.18.5

7 release files

2.18.4

7 release files

2.18.3

7 release files

2.18.2

7 release files

2.18.1

7 release files

2.18.0

7 release files

2.17.3

7 release files

2.17.2

7 release files

2.17.1

7 release files

2.15.0

7 release files

2.14.0

7 release files

2.13.2

7 release files

2.13.1

7 release files

2.13.0

7 release files

2.12.0

7 release files

2.11.1

7 release files

2.11.0

7 release files

2.10.1

7 release files

2.10.0

7 release files

2.9.0

7 release files

2.8.0

7 release files

2.7.1

7 release files

2.7.0

7 release files

2.6.1

7 release files

2.5.1

7 release files

2.5.0

7 release files

2.4.0

7 release files

2.3.1

7 release files

2.3.0

7 release files

2.2.4

7 release files

2.2.3

7 release files

2.2.2

7 release files

2.2.1

7 release files

2.2.0

7 release files

2.1.2

7 release files

2.1.1

7 release files

2.1.0

7 release files

2.0.2

7 release files

2.0.1

7 release files

2.0.0

7 release files

1.89.0

7 release files

1.87.5

7 release files

1.87.4

7 release files

1.87.3

7 release files

1.87.2

7 release files

1.85.0

7 release files

1.84.9

7 release files

1.84.8

7 release files

1.84.7

7 release files

1.84.6

7 release files

1.84.5

7 release files

1.84.4

7 release files

1.84.3

7 release files

1.84.2

7 release files

1.84.1

7 release files

1.84.0

7 release files

1.83.1

7 release files

1.83.0

7 release files

1.82.3

7 release files

1.82.2

7 release files

1.82.1

7 release files

1.82.0

7 release files

1.81.0

7 release files

1.80.8

7 release files

1.80.7

7 release files

1.80.6

7 release files

1.80.5

7 release files

1.80.4

7 release files

1.78.3

7 release files

1.78.2

7 release files

1.78.1

7 release files

1.78.0

7 release files

1.77.0

7 release files

1.76.0

7 release files

1.75.9

7 release files

1.75.0

7 release files

1.74.0

7 release files

1.73.0

7 release files

1.72.6

7 release files

1.72.5

7 release files

1.72.3

7 release files

1.72.2

7 release files

1.72.1

7 release files

1.71.2

7 release files

1.71.1

7 release files

1.71.0

7 release files

1.70.4

7 release files

1.69.1

7 release files

1.69.0

5 release files

1.68.1

5 release files

1.68.0

5 release files

1.67.0

5 release files

1.66.8

5 release files

1.66.7

5 release files

1.66.6

5 release files

1.65.0

5 release files

1.64.2

5 release files

1.61.0

5 release files

1.60.0

5 release files

1.59.0

5 release files

1.58.9

5 release files

1.58.0

5 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page