Work
Thermalization and information scrambling in a superconducting quantum processor
In recent years, physicists have carried out extensive studies focusing on quantum technology and quantum many-body systems. Two out-of-equilibrium dynamical processes that have attracted particular...
A new solution to cool electronic devices and prevent them from overheating
Electronic devices, including smartphones and tablet portable computers, are becoming increasingly advanced and compact. As their performance increases and their size decreases, these devices...
Study shows that behavioral engagement could affect hippocampal place codes
The hippocampus is a region of the brain known to the associated with memory, learning, spatial navigation and emotion. In 1971, neuroscientists discovered that the hippocampus influences spatial...
Remarkably strong pairing of charge carriers in bilayer antiferromagnetic Mott insulators
Over the past few years, many physicists and material scientists have been investigating superconductivity, the complete disappearance of electrical resistance observed in some solid materials....
A strategy to discern between real and virtual video conferencing backgrounds
Video-conferencing platforms such as Skype, Microsoft Teams, Zoom and Google Meet allow people to communicate remotely with others in different parts of the world. The COVID-19 pandemic and the...
A new approach for safer control of mobile robotic arms
Researchers at Shanghai Jiao Tong University, University of Oxford, and the Tencent Robotics X Lab have recently introduced a configuration-aware policy for safely controlling mobile robotic arms....
Searching for cosmic-ray boosted sub-GeV dark matter using data from the PandaX-II experiment
Physicists worldwide are continuing their search for dark matter, an elusive type of matter that does not absorb, reflect or emit light and is believed to make up most of the matter in the universe....
A weakly supervised machine learning model to extract features from microscopy images
Deep learning models have proved to be highly promising tools for analyzing large numbers of images. Over the past decade or so, they have thus been introduced in a variety of settings, including...
A beaver-inspired method to guide the movements of a one-legged swimming robot
When developing new technologies, computer scientists and roboticists often draw inspiration from animals and other living organisms. This allows them to artificially replicate complex behaviors and...
Simultaneous broadband image sensing and convolutional processing using van der Waals heterostructures
Efficiently processing broadband signals using convolutional neural networks (CNNs) could enhance the performance of machine learning tools for a wide range of real-time applications, including...