Tutorials for Quantum Algorithms with Qiskit implementations.

A docker container for quantum machine learning (QML) research

A module for simulating chemical and physical systems using a Variational Quantum Eigensolver (VQE) enhanced by Entanglement Forging.

Variational Quantum Eigensolver with Fewer Qubits

C++ DSP library for MATLAB-like coding

Tutorial on Variational Quantum Eigensolver (VQE). Originally created for QOSF Mentorship Screening Task Submission (Task 4, batch 2020).

Application of Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimisation Algorithm (QAOA) to the Travelling Salesman Problem (TSP) and the Quadratic Assignment Problem (QAP) using Qiskit on IBM's quantum devices.

I Used the Variational Quantum Eigensolver (VQE) to find the ground state of a 4by4 matrix hamiltonian which we will use two qubits for it. The VQE algorithm is run in a noisy and noiseless simulator. The code implementation is written with the Qiskit language.

quantum chemistry

Portfolio Optimization on a Quantum computer.

Qiskit implementation of classical shadow formalism with VQE for calculating ground state energies of molecules

QAOA is one of the flavors of VQA, and it is considered to assert so-called "Quantum Supremacy". I have implemented a Quantum circuit to solve Max-Cut problem. I have written a report of my work.

Repository for `Glassy dynamics using Quantum Computers` Team in Qiskit Hackathon Europe

This project is a qiskit implementation of VQE, SSVQE, Weighted-SSVQE for all k excited states, Weighted-SSVQE for the k-th excited state.

Lectures on hybrid quantum-classical machine learning given during "VI Pyrenees Winter School Quantum Information Meeting for Barcelona's Community" on 14-17.02.2023, Setcases, Spain

Submission for IBM Quantum's Open Science Prize 2022

Some tests with QAOA, VQE, annealers and other procedures for NISQ quantum computers

Variational quantum eigensolver (VQE) with top-level basis set optimization for electronic structure.

Creating Variational Quantum Algorithm from scratch to find optimal portfolios

VQE is a promising quantum algorithm, but it presents problems dealing with ions or excited states. For this reason it is possible to modify the algorithm with constrains. In this repo we implemented a practical working version of vqe that is able to perform well even in noisy environments.