EPRI’s Fusion Quantum Challenge 2025

Fusion energy offers the potential for clean, safe, and abundant power for future energy needs. Overcoming materials and plasma control challenges is key. This Challenge aims to tackle these barriers.

H2 Ground State Energy Calculation

Learn how to compete on the Aqora platform

QNNs for Stock Price Trend Prediction

Develop quantum neural network models using PyTorch to predict stock price trends based on limit order book data.

Clinical Trial Optimization

Optimize clinical trials based on the Mayo Clinic dataset

Malicious Login Detection

Detect malicious login attempts in the BETH dataset

Solving the Advection Equation

Classiq Quantum Use-Case for Qinnovision World Challenge 2025 | Solving the Advection Equation Using Hamiltonian Simulation

Sensor Positioning

Aqarios | PushQuantum

Variational Quantum Cloning Machine

Quandela | PushQuantum

ColibrITD - Solving Partial Differential Equations

Learn how to solve CFD - Partial Differential Equations with our Quantum Algorithm

Predicting Flash Floods

IBM Quantum Use-Case for Qinnovision World Challenge 2025

Quantum-Inspired Optimization for Finance

InfinityQ Quantum Use-Case for Qinnovision World Challenge 2025

Deepfake Attacks in Autonomous Systems

Castle Shield Quantum Use-Case for Qinnovision World Challenge 2025

Unit Commitment Problem

Kipu Quantum Use-Case for Qinnovision World Challenge 2025

Vehicle Routing Problem

NVIDIA Quantum Use-Case for Qinnovision World Challenge 2025 | Create a novel and useful application for the Vehicle Routing Problem (VRP)

Quantum Federated Learning for Fraud Detection

CQTS NYUAD Quantum Use-Case for Qinnovision World Challenge 2025

Human Lifespans

Merck Group Quantum Use-Case for Qinnovision World Challenge 2025 | Evaluating the potential drivers for healthy aging and longevity.

Drones Path-Planning using Quantum Computing

THALES Quantum Use-Case for Qinnovision World Challenge 2025

Optimization of Preventative Maintenance Requests

Optimize the timing of preventative maintenance requests to reduce costs and increase efficient operations