HLQuantum: High Level Quantum Python Package
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I've created a high level python package designed to simplify working with quantum algorithms and SDKs (currently very segregated IMO raising the difficulty to work with quantum). Current features: Backend-Agnostic Circuits — A single QuantumCircuit IR that translates to any supported framework likq Qiskit, CUDAQ and so on. Quantum Pipelines — Build modular architectures using ML-inspired Layer and Sequential models. Resilient Workflows — Orchestrate complex executions with loops, branching, and state persistence (save/resume). Out-of-the-Box Algorithms — QFT, Grover, Bernstein-Vazirani, Deutsch-Jozsa, VQE, QAOA, GQE, quantum arithmetic, and parameter-shift gradients — all accessible via friendly aliases like quantum_search() and find_minimum_energy(). I've created this project as part of my own educational journey in quantum computing. I've worked a lot with complex business oriented systems specifically finance related. I thought that some concepts learned from there like state machines could be integrate way better with quantum computing concepts to bring them closer to real use case scenarios. I'm currently looking for feedback from the community and also any contributions are welcome. DISCLAIMER: Validation on the actual quantum hardware is still pending as I'm still trying to figure out how to get access to those. Links: Github: https://github.com/AlinDanielFerenczi/HLQuantum PyPI: https://pypi.org/project/hlquantum/ submitted by /u/VortexLeon [link] [comments]