Nicolas Bustamante(@nicbstme):I think the people who spent their careers betting on quantum computing are going to look very smart. They spent decades building the hardware, the labs and the expertise, and now imagine putting AI that’s superhuman at math and physics on top of all that infrastructure. You could run thousands of experiments, use the results to improve both the hardware and the software, then repeat, getting closer to reliable, error-corrected quantum computing with every cycle. And once that works, you can turn it toward simulating molecules, discovering new materials and understanding the chemistry behind biology. My bet is that AI will massively accelerate what these people spent their lives building.

2026.10.08 12:38

I think the people who spent their careers betting on quantum computing are going to look very smart. They spent decades building the hardware, the labs and the expertise, and now imagine putting AI that’s superhuman at math and physics on top of all that infrastructure. You could run thousands of experiments, use the results to improve both the hardware and the software, then repeat, getting closer to reliable, error-corrected quantum computing with every cycle. And once that works, you can turn it toward simulating molecules, discovering new materials and understanding the chemistry behind biology. My bet is that AI will massively accelerate what these people spent their lives building.

Isaac Kim@Isaac__kim

2026.10.06 23:02

This contains a shocking list of problems in quantum information, many-body physics and quantum computing, the field that are dear to my heart. There are too many, but let me pick the following. 1. Proof of area law in 2D. 2. Spin-one Haldane gap 3. Parity is not in QAC^0 4. Constant-error Aaronson-Kuperberg conjecture 5. Unitary VOAs generating conformal nets. Things are changing fast. I cannot even imagine what will happen over the next few months, let alone a year.