While traditional algorithm analysis remains important, a new frontier has emerged: optimizing for representation within AI models themselves.

However, recent advances in artificial intelligence have demonstrated that training an algorithm in a computer simulation and then installing it in a robot can be cost effective way to train them ...

A quantum algorithm, however, runs on a quantum computer, which uses quantum bits (or qubits). Unlike bits, qubits can represent 0 and 1 at the same time, due to a property called superposition.