Not every path into quantum computing looks the same. Some of our Google Quantum AI researchers hold PhDs, others came from engineering, physics, or even cryogenics. What unites them is curiosity and a drive for excellence. Learn more about Google Quantum AI team here → https://goo.gle/48tCV2A
The mention of 'cryogenics' really hit home. It’s fascinating to see the parallels between Quantum computing and Audio architecture. In my research on micro cellular polymers, I’ve navigated the full spectrum—from liquid nitrogen cryogenics to high pressure plasma—just to balance damping and stiffness at a micro level. It confirms that whether it's for Quantum processors or High Fidelity Audio, true breakthroughs come from mastering the physics in extreme conditions.
Awesome post
I love that Google Quantum AI highlights non-linear paths into advanced research. In my work across multimodal AI, NLP, and high-performance deep learning systems, I’ve seen how interdisciplinary thinking accelerates innovation. I’d be excited to contribute to Google Research,especially at the intersection of scalable model architectures, quantum-inspired algorithms, and real-world applications.
Proud of you brother Alejo Grajales Dau
Yes I am also doing masters in Machine Learning. And I am researching in Quantum Machine Learning.