A Molecular Approach to Quantum Computing
09-03-20
The technology behind the quantum computers of the future is fast developing, with several different approaches in progress. Many of the strategies, or "blueprints," for quantum computers rely on atoms or artificial atom-like electrical circuits. In a new theoretical study in the journal Physical Review X, Caltech demonstrates the benefits of a lesser-studied approach that relies not on atoms but molecules. One concept behind the new research comes from work performed nearly 20 years ago by Professor John Preskill, Professor Alexei Kitaev, and their colleague Daniel Gottesman. [Caltech story]
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CMS
Alexei Kitaev
John Preskill
Advancing Future Quantum Science Efforts
08-27-20
Five new Department of Energy centers will apply quantum information science to emerging technologies. The centers will develop cutting-edge quantum technologies for use in a wide range of possible applications including scientific computing; fundamental physics and chemistry research; and the design of solar cells and of new materials and pharmaceuticals. Caltech faculty will participate in four of the new science centers: the Quantum Systems Accelerator, led by the Lawrence Berkeley National Laboratory, also known as Berkeley Lab; the Quantum Science Center, led by Oak Ridge National Laboratory; Q-NEXT, led by Argonne National Laboratory; and the Co-design Center for Quantum Advantage, led by Brookhaven National Laboratory. [Caltech story]
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APhMS
EE
CMS
Oskar Painter
Andrei Faraon
AI for a Better Prediction COVID-19 Model
08-25-20
A team of Caltech students, led by Professor Yaser Abu-Mostafa, have developed a tool to predict the impact of COVID-19 using artificial intelligence (AI). While many models to predict the spread of a disease already exist, few if any incorporate AI, which makes predications based on observations of what is actually happening as opposed to what the model's designers think should happen. AI has the power to discover patterns hidden in data that the human eye might not recognize. [Caltech story]
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EE
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CMS
Yaser Abu-Mostafa
Machine Learning Helps Robot Swarms Coordinate
07-14-20
Soon-Jo Chung, Bren Professor of Aerospace, Yisong Yue, Professor of Computing and Mathematical Sciences, postdoctoral scholar Wolfgang Hönig, and graduate students Benjamin Rivière and Guanya Shi, have designed a new data-driven method to control the movement of multiple robots through cluttered, unmapped spaces, so they do not run into one another. "Our work shows some promising results to overcome the safety, robustness, and scalability issues of conventional black-box artificial intelligence (AI) approaches for swarm motion planning with GLAS and close-proximity control for multiple drones using Neural-Swarm," says Chung. [Caltech story]
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GALCIT
CMS
Yisong Yue
Soon-Jo Chung
postdocs
Benjamin Rivière
Guanya Shi
Wolfgang Hönig
Alexander Popov Receives 2020 Henry Ford II Scholar Award
06-30-20
Computer science student Alexander Popov, advised by Professor Yaser Abu-Mostafa, is a recipient of the 2020 Henry Ford II Scholar Award. Some of the most interesting classes that Alexander has taken at Caltech have been team-based interdisciplinary project classes. These classes have allowed him to gain experience working in teams with varying specialties, while designing and implementing interesting projects (for example, a robot arm designed to recognize users’ hand gestures and assist them in executing complicated drawing-related tasks, such as exactly copying an area of a whiteboard). This summer he will be working as a software engineer at Facebook. After graduation, he aims to work at a company where he is able to further develop his knowledge of machine learning and the application thereof. The Henry Ford II Scholar Award is funded under an endowment provided by the Ford Motor Company Fund. The award is made annually to engineering students with the best academic record at the end of the third year of undergraduate study.
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honors
CMS
Henry Ford II Scholar Award
Yaser Abu-Mostafa
Alexander Popov
Katie Bouman Receives Okawa Research Grant
06-26-20
Katie Bouman, Assistant Professor of Computing and Mathematical Sciences and Electrical Engineering; Rosenberg Scholar, is a recipient of a 2020 Okawa Foundation Research Grant for her work on "AI Meets Real-World Science: Optimal Sensing for Next-Generation Imaging." This is a prize awarded to faculty involved in the fields of computer science, information systems and/or telecommunications, and other scientific fields inspired by these approaches. [Past Recipients]
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CMS
Katie Bouman
June Kim Receives 2020 Henry Ford II Scholar Award
06-26-20
Computer science mathematics student Joo Eun (June) Kim, advised by Professor Adam Wierman, is a recipient of the 2020 Henry Ford II Scholar Award. June is largely interested in software engineering and game programming. She has previously worked at NASA Jet Propulsion Laboratory as part of the Mars 2020 Lander Vision System team, and at Blizzard Entertainment as a full-stack engineer intern. This summer she will be working at Riot Games as a game engineer intern and is hoping to continue her professional career in the gaming industry. The Henry Ford II Scholar Award is funded under an endowment provided by the Ford Motor Company Fund. The award is made annually to engineering students with the best academic record at the end of the third year of undergraduate study.
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honors
CMS
Henry Ford II Scholar Award
Adam Wierman
Joo Eun Kim
