suhZANuh

suhZANuh is an open‑source quantum computing simulation framework designed for educational and research use. It provides a user‑friendly interface for constructing quantum circuits, simulating ideal and noisy evolutions, and visualizing results. The project is hosted on GitHub and released under the MIT license.

The framework was created by a research team at the University of Southern Nova, which began development in 2021. The name combines the acronym SZAN (short‑wavelength quantum algorithm network) with “uh” to indicate its focus on low‑resource hardware. The initial release was inspired by a need for a lightweight alternative to larger simulators such as Qiskit and Cirq.

suhZANuh’s architecture separates circuit definition from execution, allowing users to switch back‑ends with minimal code changes. It features a modular noise model that supports depolarizing, amplitude damping, and phase‑flip channels. In addition, the framework supports tensor‑network acceleration to scale simulations to around 30 qubits.

The primary application area is in the development of quantum algorithms for noisy intermediate‑scale quantum (NISQ) devices. Researchers use it to benchmark quantum error‑correcting codes, test variational algorithms, and validate hybrid quantum‑classical workflows. The tool is also employed in teaching, providing interactive notebooks that illustrate core quantum concepts.

Academic adoption has been modest but steady; several Ph.D. dissertations cite suhZANuh as a core tool for quantum algorithm design. The framework is supported by a growing community of contributors and is regularly updated to match advances in quantum hardware.

References for suhZANuh include the project’s README, its 2023 conference proceedings at the International Conference on Quantum Computing, and the associated documentation on the official website.