Quantum research is about to be transformed by artificial intelligence with an enormous boost in processing speed that can eventually pave the way for a supercomputer that is expected to be a billion, or maybe a trillion times, faster in speed than the present technology.
As revealed by a new study by scientists in China machine learning technology can lead to the slashing of time for consuming tasks to calculate the nature of the quirky relations between particles that exist in the subatomic quantum realm. This study has established some of the greatest quantum research facilities in the world.
The power of quantum technology emerges from particles that are connected by the furtive forces of quantum mechanics.
For instance, quantum entanglement refers to the correlation between particles that enables changes in one to have an effect on another quickly, irrespective of the distance between them. The basis of quantum information processing is formed by the behavior of these correlated particles.
Recently, a research team from China has found that machine learning technology can evaluate the nature of the bond between particles with extraordinary speed and accuracy, as per a paper published in the scientific journal Physical Review Letters this month.
According to the researchers, this is vital since different relations between particles makes them appropriate for distinctive tasks. As well as quantum entanglement, particles might be having a tie through EPR steering which is the paradoxical phenomenon renowned for Schrodinger’s Cat which states that there can be a change in the property of a particle in certain situations c by the act of measuring it.
Most quantum devices remain tantalizingly beyond practical application because of the vast amount of traditional processing time needed for establishing the nature of the ties between particles.