Quantum Computing package. Use qudit gates and build simple N-D circuits.
Project description
PyQudit
PyQudit is a Python package for using generalised and universal versions of quantum gates, in N-dimensions. Enables building simple quantum circuit simulations on qudit logic using higher dimensional gates.
Getting Started
Concept
Mainstream QuantumComputing uses qubits which operate in a two dimensional Hilber space. Qudits are their higher dimensional equivalents with better informaiton density and potential for hgher efficiency. PyQudit includes the qudit versions of fundamental quantum gates, useable over any dimension* as specified by the user. It can be used to understand the behaviour of qudit gates as also to build higher dimensional circuits for experimentation.
*refer gate functions
Install
The latest stable version of PyQudit is available on PyPI and can be installed with pip. It is recommeded to install in your quantum computing python environment, alongside existing packages.
pip install pyqudit
Build Locally
Alternatively, you can build the package wheel from source and then install it via pip.
pip3 install --upgrade pip
pip3 install --upgrade setuptools
git clone https://github.com/Ordoptimus/pyqudit.git
cd pyqudit
python3 setup.py bdist_wheel
Replace [version] with the latest version as seen in the wheel file in /bdist_wheel
pip3 install dist/pyqudit-[version]-py3-none-any.whl
Use
import pyqudit.qudit as pq
Use dir(pq) to show all package methods.
Sample
>>> import pyqudit.qudit as pq
>>> d = int(input('Enter Dimensions: '))
Enter Dimensions: 3
>>> print("\n---CX's Pauli Matrix---")
>>> print(pq.CXd_pauli(d))
---CX's Pauli Matrix---
[[1 0 0 0 0 0 0 0 0]
[0 1 0 0 0 0 0 0 0]
[0 0 1 0 0 0 0 0 0]
[0 0 0 0 0 1 0 0 0]
[0 0 0 1 0 0 0 0 0]
[0 0 0 0 1 0 0 0 0]
[0 0 0 0 0 0 0 1 0]
[0 0 0 0 0 0 0 0 1]
[0 0 0 0 0 0 1 0 0]]
Documentation
Refer the official documentation for detailed examples and syntax.
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