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This package is a flexible python implementation of the Quantum Approximate Optimization Algorithm /Quantum Alternating Operator ansatz (QAOA) aimed at researchers to readily test the performance of a new ansatz, a new classical optimizers, etc.
Reproducible QML benchmark: VQC vs QSVM on binary tasks. Modular, cross-platform pipeline w/ artifact logging.
Learn Qiskit with Qiskit Textbook
GitHub repo for Qiskit Hackathon "Quantum Reinforcement Learning" project
A Python-based mini-quantum-lab built with Streamlit for interactive learning. This streamlit-quantum-simulator visualizes quantum states and gates in real time, acting as a quantum-gate-visualizer to help users understand superposition and entanglement easily.
Quantum emulator of the IBM Quantum experience
This repository contains two interlinked .NET libraries for working with uncertainty, multistate computation, and time-looped logic in elegant, brain-melting ways.
Implementations of algorithms from http://quantumalgorithmzoo.org/
QNim game is quantum version of classical Nim game. In QNim game, human/classical computer will play against quantum computer. Developed using pygame in python
A quantum game and algorithm to fight in Pokemon.
Journey of learning Quantum Computing from qiskit documentation. Made some some circuit for practice.
Repository for the 2021 IEEE Quantum Week workshop on Open Quantum Hardware.
Fault-tolerant QEC simulator simulating Rotated Surface Code (d=3-11). Implements MWPM decoding, depolarizing/biased noise, and verified threshold analysis with visualizations.
Python-based software package for performing Wigner quantum state and process tomography on near-term quantum devices.
Qiskit simulation of a quantum system of a few qubits: nuclear physics application (ground state of the deuteron) and read-out error mitigation
Classical Simulation of Quantum Circuits with Restricted Boltzmann Machines
IBM Open Science Prize 2021 - Solution
Repository for Xanadu Codebook solutions
Website for Quantum For Black Lives resources
Python script files I used for the course
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