Quantum machine learning is a rapidly growing field at the intersection of quantum technology and artificial intelligence. This review provides a two-fold overview of several key …
The rising demand for high scanning accuracy and resolution in sensors for self-driving vehicles has led to the rapid development of parallelization in light detection and ranging …
Many breakthroughs in technologies are closely associated with the deep understanding and development of new material platforms. As the main material used in microelectronics …
In the last two decades, bulk, homoepitaxial, and heteroepitaxial growth of silicon carbide (SiC) has witnessed many advances, giving rise to electronic devices widely used in high …
Color centers are point defects in crystals that can provide an optical interface to a long-lived spin state for distributed quantum information processing applications. An outstanding …
ÓB Helgason, M Girardi, Z Ye, F Lei, J Schröder… - Nature …, 2023 - nature.com
Laser frequency combs are enabling some of the most exciting scientific endeavours in the twenty-first century, ranging from the development of optical clocks to the calibration of the …
C Wang, J Li, A Yi, Z Fang, L Zhou, Z Wang… - Light: Science & …, 2022 - nature.com
Recent advancements in integrated soliton microcombs open the route to a wide range of chip-based communication, sensing, and metrology applications. The technology translation …
A Yi, C Wang, L Zhou, Y Zhu, S Zhang, T You… - Applied Physics …, 2022 - pubs.aip.org
Photonic integrated circuits (PICs) based on lithographically patterned waveguides provide a scalable approach for manipulating photonic bits, enabling seminal demonstrations of a …
The stabilization and manipulation of laser frequency by means of an external cavity are nearly ubiquitously used in fundamental research and laser applications. While most of the …