Course Material for the online short course on Quantum Computing Using QSim
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May 22, 2023 - Jupyter Notebook
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qsim
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QML Benchmarks is a research-driven repository implementing and benchmarking fundamental quantum algorithms and quantum machine learning models including QCNN, QFT, Grover, Shor, HHL, VQE, and QAOA. The project analyzes algorithm scalability, optimization behavior, and robustness under realistic NISQ noise simulations through structured experiments
machine-learning grover quantum-computing qft qiskit qaoa cirq vqe shor-algorithm pennylane hhl-algorithm qcnn qsim
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Mar 14, 2026
This project demonstrates the implementation of basic quantum algorithms using Cirq and Qsim. All simulations are run in a Jupyter notebook that can be executed in Google Colab.
quantum-mechanics quantum-computing quantum-algorithms deutsch-jozsa-algorithm cirq quantum-fourier-transform qsim
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Nov 24, 2025 - Jupyter Notebook
Calculating Gaussian Boson Sampling Fourier coefficients and probabilities.
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Dec 2, 2024 - Jupyter Notebook
A Capstone project for exploring the quantum algorithms for complex optimization
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Apr 10, 2025
Runtime and memory benchmarks of four quantum circuit simulators on VQC workloads. Qiskit Aer, PennyLane Lightning, Qulacs, qsim
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Jul 14, 2026 - Jupyter Notebook
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