I'm 16 and just published my first Python library - QuantX
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I have been learning quantum computing using Qiskit (Bell states, Grover's, Deutsch-Jozsa, teleportation) and one thing that kept bugging me is how hard it is for a regular Python developer to use any of this. To do any useful work, you need to get a grip on gates, circuits, qubits, and measurement. That’s why I decided to build QuantX a library that wraps quantum algorithms behind a simple API. Currently, it includes a search tool that operates on Grover's algorithm. You simply write instead of manually making circuits. from quantx import search result = search(["alice", "bob", "charlie", "diana"], target="charlie") Without gates, qubits or circuit diagrams. It internally handles qubit count as well as optimal iterations and padding At this stage, it is rather very early (just the search module), but I intend to add optimisation (QAOA), quantum ML, and cryptography modules. It makes use of Qiskit software to provide simulator and real IBM hardware backends. GitHub: https://github.com/aaravchour/quantx pip install quantxlib I would be grateful for any input – particularly concerning the design of the API and ideas for what module you would like to see next. Since this is my first open source project, please be gentle with me. Thanks! yes I did use claude code, don't make fun of me for adapting submitted by /u/RevolutionaryLow624 [link] [comments]