Study Finds Easier Way To Learn Quantum Processes

Researchers have developed a new method of teaching a quantum computer to understand and predict the behaviour of quantum systems, using a few simple examples. The study was published in the journal, ‘Nature Communications.’ The method uses quantum neural networks (QNNs), which are machine-learning models designed to learn and process information using principles inspired by quantum mechanics. The scientists used ‘product states’ as a starting point in quantum computations and measurements, which are simpler and more manageable frameworks for studying and understanding the behaviour of quantum systems. This research could lead to the development of better quantum computers.