Competitions
Events
Discussions
Leaderboard
Job Board
Q3AS
Login
Signup
Competitions
Tutorial
Chemistry
H2 Ground State Energy Calculation
Learn how to compete on the Aqora platform
Finance
QNNs for Stock Price Trend Prediction
Develop quantum neural network models using PyTorch to predict stock price trends based on limit order book data.
Finished
Pharmacy
Clinical Trial Optimization
Optimize clinical trials based on the Mayo Clinic dataset
Finished
Cybersecurity
Malicious Login Detection
Detect malicious login attempts in the BETH dataset
Chemistry
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
Energy
Predicting Flash Floods
IBM Quantum Use-Case for Qinnovision World Challenge 2025
Finance
Quantum-Inspired Optimization for Finance
InfinityQ Quantum Use-Case for Qinnovision World Challenge 2025
Cybersecurity
Deepfake Attacks in Autonomous Systems
Castle Shield Quantum Use-Case for Qinnovision World Challenge 2025
Energy
Unit Commitment Problem
Kipu Quantum Use-Case for Qinnovision World Challenge 2025
Logistics
Vehicle Routing Problem
NVIDIA Quantum Use-Case for Qinnovision World Challenge 2025 | Create a novel and useful application for the Vehicle Routing Problem (VRP)
Cybersecurity
Quantum Federated Learning for Fraud Detection
CQTS NYUAD Quantum Use-Case for Qinnovision World Challenge 2025
Pharmacy
Human Lifespans
Merck Group Quantum Use-Case for Qinnovision World Challenge 2025 | Evaluating the potential drivers for healthy aging and longevity.
Logistics
Drones Path-Planning using Quantum Computing
THALES Quantum Use-Case for Qinnovision World Challenge 2025
Energy
Optimization of Preventative Maintenance Requests
Optimize the timing of preventative maintenance requests to reduce costs and increase efficient operations