Quantum Fast Approximate Synthesis Tool
Project description
QFAST: Quantum Fast Approximate Synthesis Tool
QFAST is a quantum synthesis tool designed to produce short circuits and to scale well in practice. QFAST uses a mathematical model of circuits encoding both gate placement and function. This is packaged together with a hierarchical stochastic gradient descent formulation that combines “coarse-grained” fast optimization during circuit structure search with a better, but slower, stage only in the final circuit refinement.
Installation
The best way to install this python package is with pip.
pip install qfast
Usage
QFAST can be used to convert a quantum operation specified by a unitary matrix into a circuit given by openqasm code. There is a command-line interface provided with qfast that can be accessed by python -m qfast
. This can be used to synthesize a matrix.
python -m qfast input.unitary output.qasm
Here the input.unitary
file is a NumPy matrix saved with np.savetxt, the qasm output will be saved in the output.qasm
file and the KAK native tool will be used. The command-line help option python -m qfast -h
can be used for further information.
QFAST can also be used as a library, an example is included.
Native Tools
Native tools are necessary for QFAST to perform instantiation. During decomposition, the input unitary matrix is hierarchically broken into many smaller unitaries. At some level in the hierarchy, QFAST switches to instantiation, which uses a native synthesis tool to convert the small unitaries into native gates.
Included with this python package is the QSearch native tool. Here are some others:
- qfast-qiskit: Several qiskit tools
- qfast-uq: A UniversalQCompiler native tool (deprecated)
- qfast-qs: A QSearch native tool (Now default)
References
Younis, Ed, et al. "QFAST: Quantum Synthesis Using a Hierarchical Continuous Circuit Space." arXiv preprint arXiv:2003.04462 (2020).
Copyright
Quantum Fast Approximate Synthesis Tool (QFAST) Copyright (c) 2020, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy). All rights reserved.
If you have questions about your rights to use or distribute this software, please contact Berkeley Lab's Intellectual Property Office at IPO@lbl.gov.
NOTICE. This Software was developed under funding from the U.S. Department of Energy and the U.S. Government consequently retains certain rights. As such, the U.S. Government has been granted for itself and others acting on its behalf a paid-up, nonexclusive, irrevocable, worldwide license in the Software to reproduce, distribute copies to the public, prepare derivative works, and perform publicly and display publicly, and to permit others to do so.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file qfast-2.2.0.tar.gz
.
File metadata
- Download URL: qfast-2.2.0.tar.gz
- Upload date:
- Size: 25.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.8.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 11b969812827293d4a684ce1d3d43a3e4bec0b6946f23aaf91b662ecca0662cf |
|
MD5 | d94cb4bd1bb842520460eedf9de0d5d6 |
|
BLAKE2b-256 | 9df19ed74c799be8b8899f056d9371414e472f1f3791da4e7807513eedf8f3f1 |
File details
Details for the file qfast-2.2.0-py3-none-any.whl
.
File metadata
- Download URL: qfast-2.2.0-py3-none-any.whl
- Upload date:
- Size: 38.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.8.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 201e3f065de06e07f02168a2679ffa2613eb14f832d67ca815263703498698fb |
|
MD5 | 994c64b611dcee65b09764aa4f623e05 |
|
BLAKE2b-256 | 2109aecd410a7f1bc0092fac082cf5381854639b61a70a9962c1981d75a5ff43 |