Quantum applications

Quantum Finance & Numerical Methods

Numerical labs at the intersection of finance, economics, and quantum computing.

Overview

Understand the project, then explore the work.

Resources open inside this site. Guides, papers, figures, notebooks, and source files are organized around the project’s story.

About this project

Welcome to the Quantum Finance and Numerical Methods repository! This repository contains a variety of materials related to the intersection of finance, economics, and quantum computing. The focus of these materials is on the application of quantum techniques to financial and economic analysis, with an emphasis on topics such as financial modeling, data visualization, and economic forecasting.

These materials are intended for readers with a background in finance and economics, as well as some familiarity with programming and data analysis. They are primarily designed for educational and research purposes, but may also be useful for practitioners looking to expand their skills in this emerging field.

The materials in this repository are well-documented and tested, and should be relatively easy to use. However, some familiarity with programming languages such as Python is assumed. A list of dependencies and required software packages is included in the README file.

If you have any questions or encounter any issues while using these materials, please don't hesitate to open an issue on the repository or contact the maintainers directly. We are always happy to help!

Collections

Module

Introduction To Finance With Python

3 curated items

NotebookIntroduction To Python NotebookSimulating Financial Data NotebookSimulating Stock Prices

Module

Classical Use Cases

3 curated items

Section notes

A project on using mathematical programming to solve multi-modal transportation cost minimization in goods delivery and supply chain management.

Catalogue

[Project Overview] · [Problem Statement] · [Assumptions]) · [Dimension & Matrixing] · [Decision Variables] · [Parameters] · [Mathematical Modelling] · [Optimization Result & Solution] · [Model Use & Extension Guide]

Project Overview

In delivery services, many different transportation tools such as trucks, airplanes and ships are available. Different choices of routes and transporation tools will lead to different costs. To minimize cost, we should consider goods consolidation (Occassions when different goods share a journey together.), different transportation costs and delivery time constraints etc. This project uses mathematical programming to model such situation and solves for overall cost minimization solution. The model construction offers options of two mathematical programming frameworks, DOcplex and CVXPY.

NotebookNews Vendor Problem Classical UnavailableModel Data SourceMulti Modal Transportation

Module

JP Morgan Python Training

10 curated items

Section notes

This Python training is for JPMorgan business analysts and traders, as well as select clients.

Overview

This course is designed to be an introduction to numerical computing and data visualization in Python. It is not designed to be a complete course in Computer Science or programming, but rather a motivational demonstration of how relatively complex topics can be accessible even to those without formal progamming backgrounds.