QuantumStorm: The Next Evolution in Tornado Forecasting

mansour ansari
May 8
3 min read

Powered by Quantum Entropy • Built by QuantumLaso, LLC • Invented by Mansour Ansari

Back in 2015, I wrapped up a long run developing software for storm chasing and video streaming. I had just completed work on VideoMover, a forward-looking solution for store-and-forward and live video delivery. But the market shifted. Streaming platforms exploded, and suddenly everyone was doing what I had already built years earlier. It was time for a new chapter.

So like Elvis with his guitar, I stepped offstage—only instead of rock 'n' roll, I turned my attention to something that had always pulled at my curiosity: the quantum world.

Now I’m back—this time at the helm of QuantumLaso, LLC, proudly based in Oklahoma. We're the first quantum computing company in the state, and every line of code, every design decision, and every breakthrough has come from thousands of hours of solo development, deep research, and relentless exploration.

What I’m building now is fueled by true quantum entropy, not classical imitation. It’s innovation from the ground up—rooted in the wild unpredictability of nature itself. And it’s only just getting started. Now, the QuantumStorm is my new gig!

🔍 What Is QuantumStorm?

QuantumStorm is a revolutionary weather forecasting tool that combines NOAA's high-resolution atmospheric data with Quantum Random Number Generator (QRNG)-injected Monte Carlo simulations. Developed for broadcast meteorology, emergency operations, and scientific research, it creates ultra-realistic tornado ensemble forecasts that visualize probability zones with quantum-level entropy precision.

With just one click, stations can view dynamic tornado ensemble maps directly powered by:

✅ Live QRNG feeds from USB devices (CryptaLabs QCicada, PCIe, or Quside S1)
✅ Cloud-based entropy pools for high availability
✅ Classical PRNG fallback for baseline comparison

⚙️ What Makes It Different?

Classical Simulations	QuantumStorm Simulations
Uses pseudo-random values (PRNG)	Injects true quantum randomness (QRNG)
Ensemble outputs follow seeded noise patterns	Ensembles reflect nondeterministic uncertainty
Difficult to personalize per station	Customizable branding and interface
Limited viewer interactivity	Real-time sliders for Temp, Wind, Entropy
Static forecast zones	Dynamic, regenerable simulations

Quantum randomness allows the ensemble spread to better reflect real-world uncertainty—ideal for tornado alley forecasts where unpredictability is the rule.

🎥 Built for Broadcast: First Look for local TV stations

QuantumStorm was prototyped with a local TV station in mind. The branded demo includes:

🌀 Tornado icons over risk zones (replacing dull scatter dots)
📡 NOAA forecast preview for Oklahoma City
⚙️ Interactive controls: Temp, Wind Speed, Entropy Spread
📦 CSV forecast export button for post-analysis
🔌 Real-time QRNG entropy support via USB or Cloud
🖼️ Mapbox visual interface with zoom/pan & personalization

📈 Roadmap for 2025

✅ Available Now

Tornado ensemble forecasting with real-time quantum entropy
NOAA API integration for live weather context
Quantum vs Classical entropy mode selector
Downloadable forecast data in CSV format
Streamlit-based UI with broadcast branding

🔜 Coming Up

❄️ Ice storm / flood simulation add-ons
🛰️ Satellite overlay support (NASA, EUMETSAT)
📲 Mobile-friendly control panel for on-the-go meteorologists
🧪 A/B Testing for Classical vs QRNG performance on historical tornado events
🧠 AI model integration for future ensemble filtering and trend prediction
🚀 Exclusive station license options (with annual support + customization)

💰 Commercial Benefits

Differentiation: First station in your market to offer “Quantum Forecasting”
Credibility: Backed by real-time NOAA data, enhanced by QRNG entropy
Viewer Trust: Enhanced realism with dynamic, non-repeating risk visuals
Monetization: Sponsored tornado forecast segments powered by QuantumStorm
Licensable: Available as a turnkey solution (mini-PC, USB QRNG, support)