If a clever algorithm finds a super-human solution: What did the machine discover that humans have overlooked? Happy to have one answer for a super-human quantum optics solution published in @QuantSciTech: iopscience.iop.org/article/1… spearheaded by @soerenarlt & @cruizgo_ The super-human solution are experimental designs of high-dimensional GHZ states, discovered by PyTheus (quantum-journal.org/papers/q…). @soerenarlt wanted to know HOW those solutions work. What did the machine find, what's the trick, can we generalize the idea? Indeed we discovered that PyTheus has generated an effective experimental blueprint for generating multi-photon emitters from just pair sources, by exploiting complex multi-photon interference. Multiphoton emitters themselves are extremely challenging to build natively. The algorithm has discovered a way to create effective multi-photon emitters, and used it for solving the high-dimensional GHZ question. Now that we know how to create effective multiphoton emitters, we can use them in many situations, by hand - without the need of algorithms. It's an example how we humans can learn new physics ideas from a machine. More to come -- for sure!