Quantencomputer identifizieren Kernfusionsbrennstoff in Major First
https://www.sciencealert.com/quantum-computers-identify-nuclear-fusion-fuel-chemistry-in-major-first
Quantencomputer identifizieren Kernfusionsbrennstoff in Major First
https://www.sciencealert.com/quantum-computers-identify-nuclear-fusion-fuel-chemistry-in-major-first
7 Kommentare
what a terribly confusing article, far better to read the blog [Modeling the chemistry of fusion reactor material | IBM Quantum Computing Blog](https://www.ibm.com/quantum/blog/molten-salts-fusion-quantum)
As per the article
Researchers from IBM, Oak Ridge National Laboratory, and other institutions used quantum-centric supercomputing to identify nine new molecular configurations of FLiBe, a critical material for tritium breeding.
While tritium is essential for fusion but rare on Earth, this simulation-led approach significantly accelerates the research timeline by filtering out ineffective material candidates before they reach the lab. This milestone illustrates the transition of quantum-centric supercomputing from theoretical research to a practical tool for solving complex problems in materials science. As these computational capabilities scale, they could be the key to overcoming the technological barriers that have kept fusion energy confined to laboratory environments.
Finally, about time. I look forward to all of our new scientific paradigms.
Yeah, nah. I am not buying it that quantum computing was actually necessary to do it nor that it made the process faster/better.
We’ve used millions of dollars of classic electricity to power a quantum simulation that tells us how we might make electricity in the future.
They use sample-based quantum diagonalization (SQD) and there’s a video along with a textual explanation in the article below:
https://quantum.cloud.ibm.com/learning/en/courses/quantum-diagonalization-algorithms/sqd-overview
I thought this was going to talk about the potential for direct lithium fusion and was a little sad when it didn’t.