Source code for the book "Quantum Computing for Programmers", Cambridge University Press
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Updated
May 22, 2024 - C++
Source code for the book "Quantum Computing for Programmers", Cambridge University Press
Addressed smart city transportation complexities using quantum-centric supercomputing. Implemented Grover’s, QAOA and Quantum Walk algorithms
Multi-backend SDK for quantum optimisation
An optimized implementation of the Quantum Approximate Optimization Algorithm (QAOA) with Quimb.
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.
Simulate Adiabatic Process in Qiskit and similarly use QAOA
Compare QAOA and Quantum Annealing using 127 qubit higher order Ising problems
Some tests with QAOA, VQE, annealers and other procedures for NISQ quantum computers
Algorithms for optimization tasks (operations research)
Implementation of Variational Quantum Factoring algorithm.
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
Quantum version of the classical Nim game. An automatic opponent allows to game to not be as easy as it seems.
Variational Quantum Factoring
A portfolio generator developed by QuantYantriki for the QSTH 2022 - a quantum hackathon organized by the Quantum Ecosystems and Technology Council of India (QETCI). It utilizes quantum annealing and quantum approximate optimization algorithms using a feedback-based metaheuristic that incorporates classical optimization tools to improve solutions.
This repository holds implementations of QAOA-specific compilation policies on top of the Qiskit compiler.
Solution of the Bin-Packing problem using QAOA and Qiskit optimization library
Solving the Travelling Salesman Problem, with applying the hard constraints using the QAutoencoder
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