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🚀 To step up in Quantum Computing, Here is a toolkit implementing fundamental quantum algorithms using IBM's Qiskit framework. Features practical implementations of quantum superposition, text encoding, sorting, and Grover's search algorithm
A Python module for executing and monitoring quantum algorithms across local simulators and IBM Quantum platforms. Seamlessly handles data collection, organization, and streaming to Apache Kafka.
This repository contains a collection of Jupyter Notebooks demonstrating various quantum computing concepts using Qiskit, a popular quantum computing framework.
Mastering Qiskit v2.0 is a complete learning series designed to take you from the very basics of quantum circuits to running optimized workloads on IBM Quantum hardware. The course is based on the latest Qiskit v2.0 SDK and IBM Quantum Platform updates.
This is a complete educational project designed to teach quantum computing from the ground up. With 8 progressive modules and 40+ hands-on examples, this project provides the most comprehensive open-source quantum computing curriculum available.
Curso de algoritmos cuánticos con implementaciones prácticas en Qiskit 2.5.x, organizado por secciones y temas. Cada tema incluye teoría y código ejecutable en notebooks de Jupyter (Python).
This repository presents a project describing a quantum simulator algorithm for early cancer prediction. The QisKit and QisKit Aer libraries were used for the experiment. At the core lies Python as the programming language.
Your first quantum program, running on a real quantum computer. Qiskit-powered notebooks covering superposition, entanglement & Bell States — from concept to live IBM QPU execution.
This project is a bilingual investigation into quantum error correcting codes, beginning with 3-qubit bit-flip and phase-flip codes and culminating in a full implementation of the 9-qubit Shor code, capable of correcting arbitrary single-qubit errors. Implementations are constructed in Python using Qiskit, and in Julia using QuantumCilfford.
Reproducible modern-Qiskit implementation of HHL-based fast-decoupled AC power flow, including deterministic, stressed, and stochastic five-bus studies.
An automated three-tier pipeline that scans codebases for quantum-vulnerable cryptography, eliminates false positives using LLM enrichment, ranks findings by quantum attack cost via VQE simulation, and generates actionable migration reports aligned to NIST FIPS 203/204/205.