Metadata-Version: 2.3
Name: qLDPC
Version: 0.1.2
Summary: Tools for constructing and analyzing quantum low density parity check (qLDPC) codes.
License: Apache-2.0
Keywords: quantum computing,quantum error correction,low density parity check codes,LDPC
Author: Michael A. Perlin
Author-email: mika.perlin@gmail.com
Requires-Python: >=3.10,<4.0
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Provides-Extra: dev
Provides-Extra: gurobi
Requires-Dist: checks-superstaq (>=0.5.34) ; extra == "dev"
Requires-Dist: cvxpy (>=1.3.2)
Requires-Dist: diskcache (>=5.0.0)
Requires-Dist: galois (>=0.4.2)
Requires-Dist: gurobipy (>=10.0.0) ; extra == "gurobi"
Requires-Dist: ldpc (>=2.1.8)
Requires-Dist: networkx (>=2.6.2)
Requires-Dist: numpy (>=1.24.0)
Requires-Dist: platformdirs (>=4.0.0)
Requires-Dist: poetry (>=2.1.3) ; extra == "dev"
Requires-Dist: pymatching (>=2.1.0)
Requires-Dist: scipy (>=1.14.1)
Requires-Dist: stim (>=1.14.0)
Requires-Dist: sympy (>=1.12)
Project-URL: Repository, https://github.com/qLDPCOrg/qLDPC
Description-Content-Type: text/markdown

# qLDPC

This package contains tools for constructing and analyzing [quantum low density parity check (qLDPC) codes](https://errorcorrectionzoo.org/c/qldpc).  At least, that was the original motivation for this package.  In practice, the tools here can work just as well for more general error-correcting stabilizer and subsystem codes.

## 📦 Installation

This package requires Python>=3.10, and can be installed from the Python Package Index (PyPI) with
```
pip install qldpc
```

To install a local version of qLDPC from source:
```
git clone https://github.com/qLDPCOrg/qLDPC.git
pip install -e qLDPC
```
You can also `pip install -e 'qLDPC[dev]'` to additionally install some development tools.

### macOS

If you use macOS you may need to install `cvxpy` manually by following the instructions [here](https://www.cvxpy.org/install/) before installing `qLDPC`.  If you use `conda` to manage your python environment, you can obtain `cvxpy` by running `conda install -c conda-forge cvxpy`.

### GAP

Some features in `qLDPC` require an installation of the computer algebra system [GAP](https://www.gap-system.org/).  If you use `conda` to manage your python environment, you can obtain `gap` by running `conda install -c conda-forge gap-defaults`.

## 🚀 Features

Notable features include:
- `ClassicalCode`: class for representing classical linear error-correcting codes over finite fields.
  - Various pre-defined classical code families.
  - Communication with the [GAP](https://www.gap-system.org/)/[GUAVA](https://www.gap-system.org/Packages/guava.html) package for [even more codes](https://docs.gap-system.org/pkg/guava/doc/chap5.html).
- `QuditCode`: class for constructing [Galois-qudit codes](https://errorcorrectionzoo.org/c/galois_into_galois), including both [stabilizer](https://errorcorrectionzoo.org/c/galois_stabilizer) and [subsystem](https://errorcorrectionzoo.org/c/oecc) codes.
  - `QuditCode.get_logical_ops`: method to construct a complete basis of nontrivial logical Pauli operators for a `QuditCode`.
  - `QuditCode.concatenate`: method to [concatenate](https://errorcorrectionzoo.org/c/quantum_concatenated) `QuditCode`s in various ways.
  - `QuditCode.get_distance`: method to compute the code distance (i.e., the minimum weight of a nontrivial logical operator) of a `QuditCode`.
- `CSSCode`: subclass of `QuditCode` for the special case of constructing a [quantum CSS code](https://errorcorrectionzoo.org/c/css) out of two mutually compatible `ClassicalCode`s.
  - `CSSCode.get_distance_bound`: method to estimate an upper bound on code distance using the method of [arXiv:2308.07915](https://arxiv.org/abs/2308.07915).
- Classes for special quantum code constructions and code families, such as:
  - `TBCode`: [two-block quantum codes](https://errorcorrectionzoo.org/c/two_block_quantum).
  - `BBCode`: [bivariate bicycle codes](https://errorcorrectionzoo.org/c/quantum_quasi_cyclic), as in [arXiv:2308.07915](https://arxiv.org/abs/2308.07915) and [arXiv:2311.16980](https://arxiv.org/abs/2311.16980).  See [`examples/bivariate_bicycle_codes.ipynb`](https://github.com/qLDPCOrg/qLDPC/blob/main/examples/bivariate_bicycle_codes.ipynb) for methods to identify...
    - toric layouts of a `BBCode`, in which the code looks like a toric code augmented by some long-distance checks, as in discussed in [arXiv:2308.07915](https://arxiv.org/abs/2308.07915), and
    - qubit layouts that minimize the communication distance for neutral atoms, as discussed in [arXiv:2404.18809](https://arxiv.org/abs/2404.18809).
  - `HGPCode`: [hypergraph product codes](https://errorcorrectionzoo.org/c/hypergraph_product).
  - `SHPCode`: [subsystem hypergraph product codes](https://errorcorrectionzoo.org/c/subsystem_quantum_parity), as in [arXiv:2002.06257](https://arxiv.org/abs/2002.06257).
  - `SHYPSCode`: [subsystem hypergraph product simplex codes](https://errorcorrectionzoo.org/c/shyps), as in [arXiv:2502.07150](https://arxiv.org/abs/2502.07150).
  - `LPCode`: [lifted product codes](https://errorcorrectionzoo.org/c/lifted_product), as in [arXiv:2012.04068](https://arxiv.org/abs/2012.04068) and [arXiv:2202.01702](https://arxiv.org/abs/2202.01702).
  - `SLPCode`: [subsystem lifted product codes](https://errorcorrectionzoo.org/c/subsystem_lifted_product), as in [arXiv:2404.18302](https://arxiv.org/abs/2404.18302).
  - `QTCode`: [quantum Tanner codes](https://errorcorrectionzoo.org/c/quantum_tanner), as in [arXiv:2202.13641](https://arxiv.org/abs/2202.13641) and [arXiv:2206.07571](https://arxiv.org/abs/2206.07571).
- `decoders.py`: module for decoding errors with various methods, including BP-OSD, BP-LSD, and belief-field (via [`ldpc`](https://github.com/quantumgizmos/ldpc)), minimum-weight perfect matching (via [`pymatching`](https://github.com/oscarhiggott/PyMatching)), and others.  Includes an interface for using custom decoders. 
- `abstract.py`: module for basic abstract algebra (groups, algebras, and representations thereof).
  - Various pre-defined groups (mostly borrowed from [SymPy](https://docs.sympy.org/latest/modules/combinatorics/named_groups.html)).
  - Communication with the [GAP](https://www.gap-system.org/) computer algebra system and [GroupNames.org](https://people.maths.bris.ac.uk/~matyd/GroupNames/) for constructing [even more groups](https://docs.gap-system.org/doc/ref/chap50.html).
- `objects.py`: module for constructing helper objects such as Cayley complexes and chain complexes, which are instrumental for the construction of various quantum codes.
- `qldpc.circuits.get_transversal_ops`: construction of all SWAP-transversal logical Clifford gates in one code block of a qubit code (see [arXiv:2409.18175](https://arxiv.org/abs/2409.18175); requires [GAP](https://www.gap-system.org/) and [GUAVA](https://www.gap-system.org/Packages/guava.html)).  Warning: this method relies on a subroutine (namely, finding classical code automorphisms) that has exponential complexity, and is therefore only practical for codes with small-to-moderate size.

## 🤔 Questions and issues

This project aspires to have a [documentation page](https://qldpc.readthedocs.io/en/latest/), but at the moment the documentation is out of date and auto-generated from source code that was written to be human-readable in a plain text editor.  For now, I recommend looking at the source code (and comments therein) directly, as well as the `examples` directory.  Test files (such as `qldpc/codes/quantum_test.py`) also contain some examples of using the classes and methods in this library.

If you have any questions, feedback, or requests, please [open an issue on GitHub](https://github.com/qLDPCOrg/qLDPC/issues/new) or email me at [mika.perlin@gmail.com](mailto:mika.perlin@gmail.com)!

## ⚓ Attribution

If you use this software in your work, please cite with:
```
@misc{perlin2023qldpc,
  author = {Perlin, Michael A.},
  title = {{qLDPC}},
  year = {2023},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/qLDPCOrg/qLDPC}},
}
```
This may require adding `\usepackage{url}` to your LaTeX file header.  Alternatively, you can cite
```
Michael A. Perlin. qLDPC. https://github.com/qLDPCOrg/qLDPC, 2023.
```

