Package for performing Wigner state and process tomography on a simulator or on a quantum hardware.
Project description
What is DROPStomo?
DROPStomo is a Python package for performing state and process tomography in the context of finite-dimensional Wigner representations on near-term quantum devices. This is a phase-space tomography approach to recovering the finite-dimensional Wigner type representations of quantum states and processes, with a particular focus on the DROPS (Discrete Representation of OPeratorS) representation. The package is based on the paper: Wigner State and Process Tomography on Near-Term Quantum Devices.
This package is based on the Qiskit framework and can be easily adapted for other frameworks. The package can be plugged directly into quantum simulators or quantum devices.
Installation
pip install DROPStomo
How to use
Currently, Wigner state tomography is available for single and two qubit systems, whereas Wigner process tomography is available for single qubit systems. For detailed examples on how to use Wigner tomography, please check out the Examples folder in our Git repository.
Citation
If you use the DROPS tomography tool in your work, cite it as follows:
@misc{https://doi.org/10.48550/arxiv.2302.12725,
doi = {10.48550/ARXIV.2302.12725},
url = {https://arxiv.org/abs/2302.12725},
author = {Devra, Amit and Glaser, Niklas J. and Huber, Dennis and Glaser, Steffen J.},
keywords = {Quantum Physics (quant-ph), FOS: Physical sciences, FOS: Physical sciences},
title = {Wigner State and Process Tomography on Near-Term Quantum Devices},
publisher = {arXiv},
year = {2023},
copyright = {Creative Commons Attribution 4.0 International}
}
Project details
Release history Release notifications | RSS feed
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 DROPStomo-0.0.6.tar.gz
.
File metadata
- Download URL: DROPStomo-0.0.6.tar.gz
- Upload date:
- Size: 20.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 02768845495076b49cbe0342ffa7fec229c9e7e76f8f54b12d5687c3ade0d98d |
|
MD5 | 4790078e02691828a926d43d576d7f18 |
|
BLAKE2b-256 | 53b43c8a8a9af2154bf01493515375cc664c85d007d9a0b9bc7186b8b86ae540 |
File details
Details for the file DROPStomo-0.0.6-py3-none-any.whl
.
File metadata
- Download URL: DROPStomo-0.0.6-py3-none-any.whl
- Upload date:
- Size: 30.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 999c578b3d6a8cb6c5943751459f5b19c8b56b4b8f9f0fc5baf66dd8ceaa18ea |
|
MD5 | f07e51319108ec8bdcb21109b09e512c |
|
BLAKE2b-256 | 006bfc264e83cb40088de4eee09db05ef2a5c48fdc391a3b9af9936ba9e145f9 |