[ENTRY] [Amazon Braket Challenge] [Hybrid Algorithms Challenge] [Quantum Finance Challenge] Cryptocurrency Forecasting with Quantum Machine Learning

[emilystamm]

Team Name: CatsInHilbertSpace

Project Description:

Cryptocurrencies are notoriously volatile and challenging to predict, however, there is a great financial incentive in predicting their value. The purpose of this project is to compare quantum and classical machine learning methods for time series forecasting of cryptocurrency. In particular, this project analyzes the value of Ethereum, between 2015 and 2021 Kaggle Ethereum Data - Arpit Verma. This project includes implementations of CNN, CNN with a quantum layer, and a custom variational quantum algorithm. There is a base model (model.py) used for loading and preprocessing data, and writing and plotting results, and the specific machine learning models (conv_model.py, q_seq_model.py) inherit from this model and implement functions for training and testing data.

Presentation:

https://github.com/emilystamm/crypto_time_series_quantum/blob/main/QHack2022.pdf

Source code:

https://github.com/emilystamm/crypto_time_series_quantum

Which challenges/prizes would you like to submit your project for?

Please manually list all Open Hackathon challenges/prizes you would like to be considered for. In addition, please label this GitHub issue with all of the challenges you would like to be considered for. Additional eligibility conditions may apply for specific prizes. See the Open Hackathon README for further details.

Amazon Braket Challenge:
Best Open Hackathon experiment on Braket QPUs
Best Open Hackathon experiment on Braket Simulators
Most creative Open Hackathon experiment on Braket
$10k in Braket Credits
1 AWS DeepRacer

Hybrid Algorithms Challenge:
Two hours of access to AQT's QPU over the cloud

Quantum Finance Challenge:
1st place: 13-inch Macbook Pro
2nd place: 11-inch iPad Pro
3rd place: Oculus Quest 2 128GB VR Headset with Touch Controllers