‘Quantum go machine’ plays ancient board game using entangled photons – Physics WorldGame enthusiasts were therefore stunned in 2016 when the world’s leading player, South Korean Lee Sedol, was beaten by a deep-learning algorithm from AI company DeepMind known as AlphaGo. The randomness that his team generated, he argues, is in contrast “much clearer due to the inherent nature of quantum mechanics”. As such, they say, quantum go could provide “a versatile and promising platform for testing new algorithms for artificial intelligence”. Whereas classical go involves each player laying down a single stone on each move, the quantum version has them place pairs of “entangled” stones. Using entangled photons, the researchers placed go pieces (called stones) in quantum superpositions to vastly increase the complexity of the game. With one set of outputs corresponding to a “0” and another to “1”, they were able to generate and then store a random series of 0s and 1s. That, they point out, is more than enough for any normal game of go.
Article from physicsworld.com.