Caltech and NTT Research Launch Collaboration to Develop World’s Fastest Coherent Ising Machine
01-25-21
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]
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Kerry Vahala
KNI
FUTURE Ignited
11-04-20
Nearly 200 undergraduates from more than 120 colleges and universities across the country joined Caltech for FUTURE Ignited, a virtual event that aimed to encourage students of color to pursue graduate studies in science and engineering. The goal of FUTURE Ignited is to diversify STEM with students of color who will go on to become incredible graduate students and scientific leaders in their respective fields. [Caltech story]
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FUTURE Ignited
A Method to Map Brain Circuits in Real Time
10-16-20
A new approach called integrated neurophotonics could allow researchers to track the activity of all the neurons that make up a particular brain circuit. To deepen their understanding of the brain, neuroscientists must be able to map in great detail the neural circuits that are responsible for tasks such as processing sensory information or forming new memories. Now, a new approach may allow for the activity of all of the thousands to millions of neurons within a particular brain circuit to be observed in real time. Dense recording at depth—that is the key," says Michael Roukes, Frank J. Roshek Professor of Physics, Applied Physics, and Bioengineering. [Caltech story]
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Michael Roukes
KNI
New Device Powers Wearable Sensors Through Human Motion
10-16-20
Wei Gao, Assistant Professor of Medical Engineering, has been developing sensors as well as novel approaches to power them. Previously, he created a sensor that could monitor health indicators in human sweat that is powered by sweat itself. Now, Gao has developed a new way to power wireless wearable sensors: He harvests kinetic energy that is produced by a person as they move around. "Instead of using fancy materials, we use commercially available flexible circuit boards," he says. "This material is cheap and very durable and mechanically robust over long periods of time." [Caltech story]
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Wei Gao
Professor Gao Unveils Sensor that Rapidly Detects COVID-19 Infection Status, Severity, and Immunity
10-02-20
One feature of the COVID-19 virus that makes it so difficult to contain is that it can be easily spread to others by a person who has yet to show any signs of infection. Wei Gao, Assistant Professor of Medical Engineering, has developed a new type of multiplexed test (a test that combines multiple kinds of data) with a low-cost sensor that may enable the at-home diagnosis of a COVID infection through rapid analysis of small volumes of saliva or blood, without the involvement of a medical professional, in less than 10 minutes. "This is the only telemedicine platform I've seen that can give information about the infection in three types of data with a single sensor," Gao says. "In as little as a few minutes, we can simultaneously check these levels, so we get a full picture about the infection, including early infection, immunity, and severity." [Caltech story]
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Wei Gao
Effective Pathway to Convert Greenhouse Gas into Valuable Products
09-18-20
A research team from Caltech and the UCLA Samueli School of Engineering has demonstrated a promising way to efficiently convert carbon dioxide into ethylene—an important chemical used to produce plastics, solvents, cosmetics, and other important products globally. They developed nanoscale copper wires with specially shaped surfaces to catalyze a chemical reaction that reduces greenhouse gas emissions while simultaneously generating ethylene. "The idea of using copper to catalyze this reaction has been around for a long time, but the key is to accelerate the rate so it is fast enough for industrial production," says William A. Goddard III, Charles and Mary Ferkel Professor of Chemistry, Materials Science, and Applied Physics. [Caltech story]
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William Goddard
