Working at the leading edges of fundamental science to invent the technologies of the future.



Caltech and NTT Research Launch Collaboration to Develop World’s Fastest Coherent Ising Machine


Researchers from Caltech and NTT Research are collaborating to develop a high-speed Coherent Ising Machine (CIM). A CIM is a network of optical parametric oscillators (OPOs) programmed to solve problems that have been mapped to an Ising model, which is a mathematical abstraction of magnetic systems composed of competitively interacting spins, or angular momentums of fundamental particles. The principal investigator at Caltech for this four-and-a-half-year joint project is Kerry Vahala, Ted and Ginger Jenkins Professor of Information Science and Technology and Applied Physics; Executive Officer for Applied Physics and Materials Science. “We are delighted at the prospect of working with Professor Vahala to develop an extremely small and high-speed CIM,” said NTT Research PHI Lab Director, Yoshihisa Yamamoto. “This work will advance our understanding of the CIM’s capabilities, map well with ongoing and related work with other institutions, provide new demonstrations of this awesomely powerful new information system and, we hope, set standards for the CIM’s speed and size.” [NTT Research story] [Business Wire story]

Yashwanth Nakka Wins Best Graduate Student Paper Award


Graduate student Yashwanth Nakka, working under Bren Professor of Aerospace, Soon-Jo Chung, and colleagues have won the Best Graduate Student Paper award at the 2021 AIAA SciTech Forum in the area of Guidance, Navigation, and Control. The paper is entitled “Information-Based Guidance and Control Architecture for Multi-Spacecraft On-Orbit Inspection,” and the co-authors are Caltech postdoctoral scholar Wolfgang Hoenig and research engineer Alexei Harvard, as well as JPL colleagues Changrak Choi and Amir Rahmani. This work was supported by the JPL-CAST Swarm Autonomy project. 

Studying Chaos with One of the World's Fastest Cameras


There are things in life that can be predicted reasonably well. The tides rise and fall. A billiard ball bounces around a table according to orderly geometry. And then there are things that defy easy prediction: The hurricane that changes direction without warning. The splashing of water in a fountain. These phenomena and others like them can be described as chaotic systems. Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, has developed a new tool that might help to better understand chaotic systems. [Caltech story]