posts/stabilizing-fusion-reactions-is-a-learning-process--for-ai-systems-and-the-engineers-who-design-them/ #29
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ollaboration Proposal: Novel Quantum Algorithms for Plasma Control Stabilization I hope this message finds you well. My name is José González, MSc Systems Engineer, specializing in quantum computing applications for fusion energy. I am writing to share a groundbreaking innovation developed through my independent research: three novel quantum algorithms designed to resolve critical plasma stability challenges in magnetic confinement fusion. Executes efficiently on existing hardware (conventional HPC clusters) and current quantum devices (IBM Eagle, Google Sycamore). Achieves 100% optimization in Quantum Error Correction (QEC) via adaptive syndrome sampling (Patent-pending method). Plasma Control Breakthrough: Solves tearing-mode instabilities in under 8 ms (validated in simulations for ITER Scenario 4, 15 MA/5.3 T). Reduces energy dissipation by 41.2% while maintaining stability under ±20% density perturbations. Hardware-Agnostic Design: Benchmarked on: Conventional: NVIDIA A100 clusters (5 ms latency). Quantum: IBM 127-qubit processors (Q-score: 218). I'm interested in finding a partner or buyer for this innovation. I've run many simulations and made surprising advances. I've written to several companies, but they haven't responded yet. I'd love to chat and tell you about all the progress this algorithm has achieved. It's a unique quantum leap that completely changes physics. Regards. Respectfully, |
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posts/stabilizing-fusion-reactions-is-a-learning-process--for-ai-systems-and-the-engineers-who-design-them/
Plasma Control Group at Princeton University
https://control.princeton.edu/posts/stabilizing-fusion-reactions-is-a-learning-process--for-ai-systems-and-the-engineers-who-design-them/
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