A package parsing various quantum circuits.
Project description
Quantum Parser
This project provides modules for parsing quantum circuits.
Overview
-
qcis_parser: A parser for QCIS format, offering similar functionalities for a different quantum circuit representation.
-
qasm2_parser: A parser for OpenQASM 2.0 code, converting it into tokenized instructions and extracting circuit information.
Installation
Clone the repository and install the required dependencies using nix flake:
nix develop .
Usage
See APIs.
Features
QSIC Parser
- Parses QSIC format circuits.
- Provides a similar tokenization and analysis interface.
QASM2 Parser
- Parses OpenQASM 2.0 code.
- Extracts quantum operations into a token list.
- Currently does not support classical operations or measurements.
Notes
- Ensure that the input strings conform to the expected format for each parser.
- The parsers are currently in development and may not support all features or operations.
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file quantum_parser-1.1.0.tar.gz.
File metadata
- Download URL: quantum_parser-1.1.0.tar.gz
- Upload date:
- Size: 8.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7e48a25f62b26e00dc26b8dcb4a36e3b8c58defaf55d6d10dfda9af464795612
|
|
| MD5 |
7e34762c7d04aacff31033c6eda01313
|
|
| BLAKE2b-256 |
58d1cdc7f914d95652c4361772db7da42497033860d54faa5439786994a5bb2d
|
File details
Details for the file quantum_parser-1.1.0-py3-none-any.whl.
File metadata
- Download URL: quantum_parser-1.1.0-py3-none-any.whl
- Upload date:
- Size: 9.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8df5deb5a93e7337dba52ab83104c0d349974d4d26473102476eca86d5d3a31e
|
|
| MD5 |
17a501e7c84d4e9bae12e1da24d4c5ca
|
|
| BLAKE2b-256 |
7355e2dbba5d5b1b2534897bbc9d9a0ccc0d5dac9c042c8e4da4c3a9023a394d
|
