Three very interesting papers have been published this week. One by Wootton and team to define better quantum games. One for advanced deep Q-Learning on variational algorithms, and definitions of advantage for cryptography. A great piece on quantum inspired for finance with quotes from those doing it in the banks: “Mr. Muthukrishnan said that he hasn’t yet found a quantum-inspired solution that functions so much better than a traditional equation that he has to rush to implement it.”. And one unmissable piece by Scott Aaronson on the paper of computer scientists / information theory scientist at the Solvay conference, together with trolls. ORCA has a big week both delivering a computer and raising $15M, so does Qubit Pharmaceuticals raising €16M. Can we learn quantum advantage by learning from experiments? YES. Google has proven that (quoted), “in various tasks, quantum machines can learn from exponentially fewer experiments than those required in conventional experiments. The exponential advantage holds in predicting properties of physical systems, performing quantum principal component analysis on noisy states, and learning approximate models of physical dynamics.” - This is big.