QubitCast: A Quantum-Inspired Environmental Forecasting System

Our proposal introduces a quantum-inspired multivariate representation learning system to enhance Subseasonal-to-Seasonal (S2S) forecasting and extreme weather event prediction. This innovation addresses key challenges in Earth system modeling by improving the efficiency, accuracy, and interpretability of latent space representations used in forecasting models. Technology Purpose & Innovation: By integrating wavelet transformations, Hierarchical-Tucker (H-T) decomposition, and quantum-inspired optimization, our approach aims to better capture the interactions of Earth system components and thus: - Improves forecast lead times and accuracy for S2S predictions. - Enhances extreme weather event detection, such as heatwaves, cold snaps, squall lines, and high wind events. - Reduces computational costs associated with model training and inference, making forecasting more efficient. NASA's funding will support the development, validation, and demonstration of QubitCast system. Target Markets & Applications: QubitCast is designed to support NASA's Science Mission Directorate (SMD), as well as broader applications in: - Disaster Preparedness & Emergency Response - Energy, Agriculture, and Insurance Industries, which depend on accurate weather predictions - Trading & Financial Markets, where weather-driven risks impact commodities, and energy markets - Logistics & Supply Chain Management, where better forecasting optimizes shipping routes and operations By delivering a more interpretable, computationally efficient, and accurate forecasting approach, our technology will help improve global resilience to extreme weather events and climate variability.

QubitCast enhances the current state-of-the-art Subseasonal-to-Seasonal (S2S) forecasting and extreme weather event prediction, a key challenge in Earth system science. Our work aligns with several NASA Missions as follows: - Supports NASA’s Earth Science Division (ESD) by improving global atmospheric and oceanic modeling. - Advances understanding of ocean-atmosphere interactions, which are crucial for climate prediction and align with priorities outlined in NASA’s Earth Science Decadal Survey. - Enhances forecasting of extreme weather events, supporting NASA’s role in hazard mitigation. - Reduces the computational burden on large-scale Earth system simulations, supporting NASA’s high-performance computing and AI initiatives. QubitCast enhances Planette's core products: Subseasonal-to-Seasonal (S2S) forecasting and extreme weather event detection. Our products enable businesses and government agencies to integrate advanced forecasting capabilities directly into their systems via a cloud-based data API. Key Market Opportunities: Energy & Utilities – Optimizes renewable energy production and power grid stability by improving demand forecasting for wind and solar energy. Agriculture & Food Security – Enhances crop yield predictions and climate risk assessments, helping mitigate losses from extreme weather. Financial Markets & Trading – Improves risk modeling for climate-sensitive assets, such as agricultural commodities. Logistics & Transportation – Enables route optimization and delay mitigation for maritime shipping and freight carriers. Disaster Preparedness & Government Agencies – Strengthens early warning systems and supports emergency response planning to enhance climate resilience.

This is a mature technology (TRL 7+) — the realistic path in is usually NASA's Technology Transfer Program: licensing an existing NASA patent, or a Space Act Agreement to use NASA facilities/expertise directly. NASA also runs a startup licensing program with no upfront fee for companies formed to commercialize a specific NASA technology.

None of these are guaranteed paths for this specific project — TechPort itself doesn't have an "apply" button. Reaching out to the contact(s) above with a specific question is usually the fastest way to find out what's actually open.