Amazon Braket Challenge Community Vote

Review the entries below and vote (https://forms.gle/VgsjHxxFbuHz1XG1A) on your favorite projects by 10:00AM EDT on Friday, April 15th.

Challenge Entries

Implementation of the Quantum Restricted Boltzmann Machine Neural Network Algorithm using Variational Methods

A Quantum Algorithm to train the Restricted Boltzmann Machine Neural Network using variational methods to approximate thermal statistics for any given Ising hamiltonian with an accurate value and less convergence time over classical approximation methods.
Github Repo: https://github.com/soundwaverohit/amazon-braket-qc-hack-2022/tree/submission

Community Organization Over a Quantum-Optimized Helium Network

Quantum Optimization of the Helium Network for Emergency City-Wide Communications.
Github Repository: https://github.com/dahlwinters/QuantumHelium-QCHack2022

Halo Project

Optimization of single machine scheduling problems with sequence dependent setup times using QAOA.
Github Repository: https://github.com/khaireddinemedhioub/Amazon-Braket-Challenge.git

Quantum pathfinder: the vehicle routing optimal solver

Quantum pathfinder is a optimization tool designed to find the optimal set of routes for a number of vehicles to traverse in order to deliver to a given set of customers. Quantum Pathfinder uses a quadratic unconstrained binary optimization (QUBO) representation of the well-known problem of the Vehicle Routing Problem VRP and solves it using the Quantum Approximation Optimization Algorithm (QAOA). We compare the results using QAOA and CPLEX a classical solver.
Github Repository: https://github.com/MaldoAlberto/amazon-braket-qc-hack-2022