alejomonbar Goto Github PK

alejomonbar.github.io

alphatensor

bin-packing-problem

Solution of the Bin-Packing problem using QAOA and Qiskit optimization library

binpackingproblemnewapproach

A heuristic method for inequality constrained optimization problems

classification-iris_using-qutrits

In this repository, I classify the Iris dataset using Qutrits and IBM Quantum pulse technology.

clever-portfolio-optimization-encoding

Enhancing portfolio optimization solutions: wisely encoding constrained combinatorial optimization problems on quantum devices

cohortproject_2022

Open collaboration of the Quantum Bootcamp 2022

coinn

Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels

collateral-optimization

Collateral Optimization using MILP and QUBO formulations.

dimod

A shared API for QUBO/Ising samplers.

dlaicourse

Notebooks for learning deep learning

drag-pulse

Possible tutorial of the drag pulses

entropica_qaoa

WARNING - This package is no longer supported. EntropicaQAOA is a modular package for the quantum approximate optimisation algorithm (QAOA) built on top of Rigetti’s Forest SDK.

expressive_power_of_quantum_models

This repository contains the source code necessary to reproduce the figures and simulation results of the url[paper](XXX) "The effect of data encoding on the expressive power of variational quantum machine learning models" by Maria Schuld, Ryan Sweke and Johannes Jakob Meyer.

firstgame

FirstGame

generating-randomly-perturbed-density-operators

This code presents a general method for producing randomly perturbed density operators subject to different sets of constraints. The perturbed density operators are a specified “distance” away from the state described by the original density operator. This approach is applied to a bipartite system of qubits and used to examine the sensitivity of various entanglement measures on the perturbation magnitude. The constraint sets used include constant energy, constant entropy, and both constant energy and entropy. The method is then applied to produce perturbed random quantum states that correspond with those obtained experimentally for Bell states on the IBM quantum device ibmq manila. The results show that the methodology can be used to simulate the outcome of real quantum devices where noise, which is important both in theory and simulation, is present.

hackathon2022

CDL Quantum Hackathon 2022

hgp-sl

Hierarchical Graph Pooling with Structure Learning

hoppybunny

ibm-quantum-challenge-fall-2021

For IBM Quantum Challenge Fall 2021

lr-qaoa

Fixed-Schedule QAOA.

mitiq

Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.

monthly-challenges

Repository containing monthly challenges about quantum computing.

neepy

The Non-Equilibrium Evolution PYthon based library (*Neepy*) is a programming tool designed to simulate the evolution of quantum systems out of equilibrium. This library presents a fast prototyping of the evolution of quantum systems based on commonly used evolution equations such as the von Neumann, the Lindblad, or the SEAQT equations of motion.

onepercent

This is a puzzle game which gather the best tricky questions

open-science-prize-swap-gate

Improve the fidelity of the SWAP gates between qubits 5 and 6 on the IBM Quantum system ‘ibmq casablanca’ by reducing the infidelity from 2% to 1% with error bars equal to or better than 0.08% using benchmarking techniques described in the Open Science Prize notebook On our IBM Quantum processors, qubits can only interact with neighboring qubits - but several quantum circuits, such as those required for measuring Quantum Volume, frequently require operations between non-neighboring qubits. Quantum computers implement these operations by first using the SWAP gate to bring the quantum states of qubits closer on the chip, and then acting on these qubits with nearest-neighbor quantum gates. IBM Quantum Experience users will use Qiskit Pulse in order to devise SWAP gates of their own, and then characterize the gate’s fidelity, using a Jupyter notebook supplied by IBM Quantum. The goal is to improve the fidelity of the currently implemented SWAP gates. In order to receive access to IBM Quantum System ’ibmq casablanca’, you must demon- strate an understanding of the rigor of the challenge. Choose the challenge you are competing in and briefly de- scribe how you plan to solve that challenge. Confirmation of access will be sent to you via email.

openqaoa

Multi-backend SDK for quantum optimisation

openqaoa-website

A website for OpenQAOA build with MkDocs

optimization_qubit_circuit

Solution of the task 2

oracleofassets

The oracle of assets is a tool for investors that identifies a subgroup of assets that minimize the risk to lose money. Using neutral atoms, we can identify such a subgroup using an algorithm known as Maximum Independent Set (MIS). The subgroup of assets will not share a correlation between them, therefore if the price in the market of one of the assets decreases it won't affect the price of the others. Our algorithm will ensure that the subgroup will have the greater variety of assets possible for an investor to invest in.