gopalm-ai Goto Github PK

pyscipopt

Python interface for the SCIP Optimization Suite

qhack

QHack—The one-of-a-kind quantum computing hackathon

qhack-2022

qhack-2023

qhack-portfoliooptimization

Practical Portfolio Optimization with Warm-Starting Qubits using QAOA

qhack2022

qhack2022_portfoliorebalancing

QHack2022 Open Hackathon Project

qhack_binance

qhack_open_hackaton

qhack_quantum_machine_learning

qillers

Repository for QHack 2022 open Hackathon

qiskit-certified-exam-workbook

This is the workbook I created while I was studying for the Qiskit Associate Developer exam. I hope this becomes useful to others as it was for me :)

qiskit-community-tutorials

A collection of Jupyter notebooks developed by the community showing how to use Qiskit

qiskit-finance

Quantum Finance

qiskit-machine-learning

Quantum Machine Learning

qiskit_cert_study_guide

Qiskit Certification Study Guide

qiskit_certificate_sample_test

In this repository, you can find a notebook with coded solutions for the questions in the qiskit certificate sample test.

qiskit_sample_exam_wrong_answer_rationale

The reasoning behind why the wrong answers are incorrect for the Qiskit Sample Exam

qmc_derivative_pricing

qosf-qgan

Exploring learnability and optimal hyperparameters of various quantum generative adversarial networks and quantum neural networks using Pennylane.

qosf_2022

QOSF Winter 2022 Cohort 5 Screening Tasks

qpp

A modern C++ quantum computing library

quanthoven

quantum

Hybrid Quantum-Classical Machine Learning in TensorFlow

quantum-algorithms-tutorials

Tutorials for Quantum Algorithms with Qiskit implementations.

quantum-counselor-for-portfolio-investment

The Quantum Counselor for portfolio investment is a tool with two main objectives: forecasting the trend of assets price and optimizing portfolio returns both using quantum computing techniques. For the case of the forecasting method, we use a hybrid method that combines a deep learning model of classical LSTM layers with quantum layers. For the case of portfolio optimization, the quantum algorithms of QAOA and VQE are used to solve the problem and will be compared with CPLEX, a classical solver. Both tools are deeply connected because the forecasted price of the different assets is used for the cost function construction.

quantum-dsge

Creating Quantum DSGE method for MacroEconomics

quantum-finance-papers

quantum-game-theory

Playable quantum game theory games

quantum-machine-learning-with-pennylane

Quantum Machine Learning with PennyLane