Good morning everyone! I attended Jensen’s Quantum panel with 14 leaders in the field at GTC, and it was the “coolest” one.
Pun intended with “coolest” (quantum computers literally need to be cooled near absolute zero!).
With all my time spent in AI, quantum has always felt a bit abstract and hyped. Yep, even for someone in “AI” (with everything from generative AI to agentic AI, and whatever in between), Quantum feels even more hyped without actually delivering.
As Jensen said it so well, there’s almost a 1:1 breakthrough-to-controversy ratio in that field. Just like Majorana 1’s recent Microsoft “huge breakthrough”...
Where are the actual results, and what is the industry's use?
Why do we see all this hype but no actual follow-ups?
Let's investigate this! But first, if you follow my usual iterations, you'll love this week's sponsor: LangWatch!
1️⃣ (sponsor) Your LLM projects stuck in PoC?
LangWatch.ai helps you move from experimentation to production, 8x faster! Continuously test your LLM applications to prevent hallucinations and security issues. Build datasets, evaluate, and tweak your LLM pipeline in one place. With easy integration and self-hosting options, LangWatch guarantees AI quality and helps you measure real ROI.
Deploy Your AI Agents 8x faster with LangWatch. Get a demo!
2️⃣ My recap of Jensen's Quantum panel
The promises are that quantum computing could fundamentally change what’s possible in science and technology.
The real excitement around quantum is its potential to tackle problems that are simply impossible for today’s most powerful supercomputers — like accurately simulating complex molecules, materials, and biological processes.
This could lead to breakthroughs in developing new medicines, creating better materials for batteries, or finding more efficient ways to generate clean energy. It could even help us understand fundamental physics more deeply, revealing insights about the universe at its smallest scales.
Quantum computers might also accelerate progress in AI by generating highly precise data to train models or solve optimization tasks that currently take massive computing resources.
So, despite all these exciting promises, quantum computing often seems shrouded in hype and confusion. This panel helped me cut through some of that noise, so I wanted to share some bits from it. Here are the top insights I got out of the panel that helped me better understand this field. Watch the video (or read the article version here):
And that's it for this iteration! I'm incredibly grateful that the What's AI newsletter is now read by over 20,000 incredible human beings. Click here to share this iteration with a friend if you learned something new!
Looking for more cool AI stuff? 👇
Looking for AI news, code, learning resources, papers, memes, and more? Follow our weekly newsletter at Towards AI!
Looking to connect with other AI enthusiasts? Join the Discord community: Learn AI Together!
Want to share a product, event or course with my AI community? Reply directly to this email, or visit my Passionfroot profile to see my offers.
Thank you for reading, and I wish you a fantastic week! Be sure to have enough sleep and physical activities next week!
Louis-François Bouchard