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.
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.
See the Qham Installation for installation instructions.
Currently, qham supports releases of Python 3.6 onwards;
To install the current release:
$ pip install --upgrade qhamimport 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()We appreciate all contributions, feedback and issues. If you plan to contribute new features, utility functions, or extensions to the core.
If you have any questions, please:
qham is open-source and released under the MIT License.