Metadata-Version: 2.1
Name: qham
Version: 1.0.0
Summary: A package for simulating quantum Hamiltonians.
Home-page: https://github.com/yourusername/yourpackagename
Author: Kaushik Chintam
Author-email: kaushikam12@gmail.com
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.18.1
Requires-Dist: qiskit>=0.7.0
Requires-Dist: torch>=1.7.0
Requires-Dist: scipy>=1.4.1
Requires-Dist: matplotlib>=3.1.3
Requires-Dist: pytest>=5.3.5

# Qham - A QUICK INSIGHT INTO QUANTUM HAMILTONIAN SIMULATIONS

Qham is a Python SDK designed to bridge the gap between theoretical physics and practical quantum computing applications. It provides a comprehensive suite of tools for exploring, simulating, and analyzing Hamiltonian processes across statistical mechanics and quantum mechanics.

At the heart of Qham lies a mission to democratize the understanding of Hamiltonian dynamics, unravel the complexities of physical systems, and streamline the development of quantum algorithms. By amalgamating theoretical concepts with practical computational tools, Qham endeavors to make the intricate study of Hamiltonian systems both accessible and intuitive. 


## Overview

Qham is a Python library that consists of the following components:

| Component | Description |
| ---- | --- |
| [**qham**]() | A lightweight Quantum Hamiltonian Simulations for high-performance Quantum research |
| [**qham.fhm**]() | FermiHubbard Modal |
| [**qham.hbm**]() | Heisenberg Modal |
| [**qham.qho**]() | Quantum Harmonic Oscillator |
| [**qham.TFIM**]() | Transverse Field Ising Model |

Qham, can be used for,

- a Hamiltonian processing in quantum mechanics and statistical mechanics.
- a quantum python package whichl will give a good introduction quantum hamilotnian simulations.


# Installation 
See the Qham **[Installation][]** guide for detailed installation instructions (including building from source).

Currently, `qham` supports releases of Python 3.6 onwards; 
To install the current release:

```shell
$ pip install --upgrade qham
```


# Getting Started

## Minimal Example
```python
import qham
# Initialize the TFIM simulation
sim = TFIMSimulation(size=10, beta=0.4, h=0.05, steps=100)

# Run the simulation
sim.run_simulation()

# Plot the final lattice configuration
sim.plot_lattice()
```


# Resources

- [**PyPi**]()
- [**Documentation**]()
- [**Issue tracking**]()


# Contributing

We appreciate all contributions, feedback and issues. If you plan to contribute new features, utility functions, or extensions to the core, please go through our [Contribution Guidelines][].

To contribute, start working through the `qham` codebase, read the [Documentation][], navigate to the [Issues][] tab and start looking through interesting issues. 

# Asking for help
If you have any questions, please:
1. [Read the docs](https://caer.rtfd.io/en/latest/).
2. [Look it up in our Github Discussions (or add a new question)]().
2. [Search through the issues]().


# License

qham is open-source and released under the [MIT License](LICENSE).


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