Phys.org June 10, 2022
An international team of researchers (USA – Catech, Harvard University, UC Berkeley, Google, Microsoft, Austria) has proved that quantum machines could learn from exponentially fewer experiments than the number required by conventional experiments. This exponential advantage is shown for predicting properties of physical systems, performing quantum principal component analysis, and learning about physical dynamics. The quantum resources needed for achieving an exponential advantage are quite modest in some cases. Conducting experiments with 40 superconducting qubits and 1300 quantum gates, they demonstrated that a substantial quantum advantage is possible with today’s quantum processors…read more. TECHNICAL ARTICLE 1 , 2 ,
The ability to process quantum data directly with a quantum device (right) allows one to resolve aspects of our universe exponentially faster than going through a classical intermediate (left)… Credit: Google Quantum AI Hook