Optimization algorithm successfully computes the ground state of interacting quantum matter
Over the past decades, computer scientists have developed various computing tools that could help to solve challenges in quantum physics. These include large-scale deep neural networks that can be trained to predict the ground states of quantum systems. This method is now referred to as neural quantum states (NQSs).Quantum Physics NewsRead More
An MRI-like tool for quantum materials: Sensor can detect minute magnetic fields at atomic scale
An international research team from Germany’s Forschungszentrum Jülich and Korea’s IBS Center for Quantum Nanoscience (QNS) has developed a quantum sensor capable of detecting minute magnetic fields at the atomic-length scale. This pioneering work realizes a long-held dream of scientists: an MRI-like tool for quantum materials.Quantum Physics NewsRead More