hhl-algorithm

A python Qiskit implementation and interactive sandbox of the HHL quantum algorithm and its application to data-fitting.

This repository contains the code to reproduce the results in the paper Quantum Splines for Non-Linear Approximation, under publication for the ACM International Conference on Computing Frontiers 2020.

Quantum HHL algorithm implemented by PyQPanda💿

Quantum algorithms to solve linear systems of equations.

In this repository is the TN HHL program, of paper https://arxiv.org/abs/2309.05290

A jupyter notebook with the implementation of the quantum algorithm HHL based on https://arxiv.org/abs/1802.08227

Reproducible modern-Qiskit implementation of HHL-based fast-decoupled AC power flow, including deterministic, stressed, and stochastic five-bus studies.

A hands-on Qiskit workshop for the LHC physics community. Covers gate fundamentals, Deutsch-Jozsa, Grover's, QAOA (Max-Cut), HHL, QML (with Pennylane), plus CHSH/Bell inequality tests, noise modeling, and transpiler routing, all with step-by-step notebooks and simulations. Built for physicists exploring quantum algorithms hands-on.

Classes, Research, & Personal Quantum Computing Explorations!

HHL Algorithm based Hermitian Matrix Decomposition

HHL and QAOA built from scratch in Qiskit, with honest resource limitations documented — not just calling library functions

This code was produced during the completion of a research master's thesis on the application of the HHL or quantum algorithm for linear systems of equations to quantitative pricing of multi-asset options.

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