From Tornadoes to Molecules: My Quantum Journey

From Tornadoes to Molecules: My Quantum Journey

From Tornadoes to Molecules: My Quantum Journey

Hi everyone — I’m Mansour Ansari, and if you don’t know me, let me introduce myself in the most honest way: I’m a software developer who never really retired. I’ve been at this for decades. In fact, for almost 30 years, I worked on high-performance broadband and video streaming systems, way before broadband became a word on everyone’s lips.

Back then, my flagship project was something called VideoMover. It was born in Oklahoma, inspired by the late, great Gary England, who many of you may know as a pioneer in severe weather forecasting. VideoMover allowed storm chasers, reporters, and emergency managers to send live video in real time — sometimes from the middle of a tornado chase. It wasn’t easy. We were pushing technology into places it wasn’t meant to go: harsh environments, unstable conditions, and yet it worked. That was my DNA as a builder — take something that seems impossible, and make it possible.

Now, fast-forward three decades. I’m 70 years old, and no, I haven’t retired. If anything, I’ve gone deeper. Only this time, I’m building systems not just for weather — but for the quantum world.

Let me introduce you to my three current projects.

First: QuantumTornado.Think of it as a forecasting system that injects quantum entropy — randomness straight from the fabric of the universe — into tornado prediction models. Normally, forecasting relies on deterministic inputs: radar, wind shear, CAPE, all the meteorology. But tornadoes are chaotic beasts. By layering in quantum entropy, we model the collapse zones, the uncertainty fields that radar can miss. I even replay historic tornado events, like Moore or El Reno, to see how much earlier QuantumTornado could have sounded the alarm. The results? In many cases, hours earlier than traditional forecasts. That’s not science fiction — that’s life-saving probability.

Second: QuantumCURE.This one is closer to our bodies than to the sky. It’s a molecular docking system designed to find new drug candidates for cancer. Normally, this is the domain of big pharma, because sifting through 100 million compounds requires insane computational power. But here’s where my approach is different: I’ve democratized it. QuantumCURE is decentralized, meaning anyone with a computer can contribute. You click Start Molecular Docking on your device, and here’s what happens:

• Your computer pulls a seed from a quantum random number generator.

• That seed defines a batch of compounds for you to simulate against a cancer protein target.

• The docking engine checks how tightly those compounds might bind.

• The results are packaged up and sent back to the cloud.

And then, an AI steps in. Instead of drowning in millions of results, the AI shrinks them to a shortlist — the strongest candidates, the ones most likely to succeed in a wet lab. With around 12,000 contributors, we could scan the entire PubChem library in six months. Double that, and it’s three months. Imagine citizen scientists worldwide — not just pharma giants — helping discover the next cancer drug.

Third: Zaban.This is the poetic one. Zaban is a quantum linguistic framework. It’s a symbolic system that takes entanglement, collapse patterns, and entropy streams and translates them into glyphs, a dictionary of quantum expression. Some of you might know my prototype app, Zarekar — the Zaban Zygote Simulator. It models how particles entangle, decay, replicate, and form emergent structures. It’s not about atoms in a lab; it’s about information, about meaning. My goal is to use Zaban as a universal interpreter — whether we’re studying storms, molecules, or even consciousness itself.

Now, you might be asking: what’s the road ahead?

For QuantumTornado, it’s validation. Running months of live comparisons between classical forecasts and quantum-enhanced ones, proving again and again that collapse-aware forecasting saves time — and maybe lives.

For QuantumCURE, it’s scaling. I want thousands of citizen scientists running simulations, feeding the AI engine, and producing candidates that labs can test. By 2026, I see QuantumCURE tightly linked to supplier networks and retrosynthesis tools, so when the AI says, “Here’s a promising compound,” you can immediately order it, or know how to synthesize it.

And for Zaban, the vision is long-term. A complete symbolic dictionary, one that could serve as a language not just between humans and machines, but potentially with other intelligences — biological, artificial, maybe even non-Earth. A universal framework for meaning, grounded in quantum collapse.

So when I look back, I see a thread. From VideoMover bringing tornado footage to the public, to QuantumTornado forecasting storms, to QuantumCURE decoding molecular storms, to Zaban building a language of collapse — it’s all about survival, it’s all about meaning, and it’s all about turning chaos into something human beings can use.

I don’t plan to retire yet. My road ahead is about pushing these projects further into reality, connecting more people, and maybe — just maybe — saving lives again.

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