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New Design tool to Optimize Quantum Optics Circuits in Silicon

A team led by EECS Associate Professor Boubacar Kanté and EECS Professor Eli Yablonovitch has developed a machine-learning based optimization method for nonlinear and quantum optics. Inverse-design has been traditionally applied to linear optical systems, and it often leads to optimized structures that are unintuitive or experimentally unrealistic. In this study, published in Optica, the researchers attempt to tackle these challenges using a new inverse-design method for nonlinear photon generation. According to lead author and graduate student Zhetao Jia, they were able to achieve a compact, robust, and efficient source of entangled photon pairs based on spontaneous four-wave mixing in silicon, the most common material used in the semiconductor industry. This nonlinear quantum-optics approach could potentially be used for large-scale communication and quantum computing applications.

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EECS Grads win another IEEE COMPEL Best Paper Award

EECS graduate students Yicheng Zhu and Jiarui Zou, and post-docs Ting Ge and Nathan Ellis have won the 2023 IEEE Control and Modeling for Power Electronics (COMPEL) Best Paper Award. Their paper, "A 48-V-to-1-V Switching Bus Converter for Ultra-High-Current Applications,” demonstrated a new dc-dc power converter topology and control technique for data center power delivery applications, capable of sourcing 1200 A of current at 1 V supply voltage. The hardware prototype used to validate the concept achieved the highest power density and efficiency combination of any prior work, academic or industrial. Next, the researchers are working with industry partners to transition this record-breaking concept to next-generation GPU/CPU computing platforms for AI and machine learning applications. IEEE COMPEL is the premier control and modeling conference for power electronics, having brought together world experts in the field for the last 24 years. Three best papers were selected this year from the total accepted 84 papers, based on originality, contribution to the field, and quality of presentation at the conference. 

Kurt Keutzer receives DAC Most Influential Paper Award

EECS Professor Kurt Keutzer has received a Design Automation Conference (DAC) Most Influential Paper Award. Keutzer’s 1987 paper, “Dagon: technology binding and local optimization by DAG matching” was selected as the most influential DAC paper of the 1980s. Recipients must have previously published DAC papers between 1964 and 2000, which have “demonstrated substantial academic and/or industrial impact in one or more of DAC’s research topics at the time. 
Clinical research coordinator Max Dougherty connects a neural data port in Ann’s head to the speech neuroprosthesis system as part of a study led by Dr. Ed Chang at UCSF.

Berkeley EECS pioneers AI brain implant to restore speech

A team of researchers from UCSF and Berkeley EECS have developed an implantable AI-powered device that can translate brain signals into modulated speech and facial expressions. The device, a multimodal speech prosthesis, and digital avatar, was developed to help a woman who had lost the ability to speak due to a stroke. The results have the potential to help countless others who are unable to speak due to paralysis or disease. The breakthrough study, published in the journal Nature, was led by UCSF neurosurgeon Edward Chang, EE Assistant Professor Gopala Anumanchipalli and Ph.D. student Kaylo Littlejohn. “This study heavily uses tools that we developed here at Berkeley, which in turn are inspired by the neuroscientific insights from UCSF,” said Gopala. “This is why Kaylo is such a key liaison between the engineering and the science and the medicine — he’s both involved in developing these tools and also deploying them in a clinical setting. I could not see this happening anywhere else but somewhere that is the best in engineering and the best in medicine, on the bleeding edge of research.”

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Venkat Anantharam and Cheuk-Ting Li win 2023 IEEE Information Theory Society Paper Award

EE Professor Venkat Anantharam and Chinese University of Hong Kong (CUHK) Professor Cheuk-Ting Li have won the 2023 IEEE Information Theory Society Paper Award. The award is given annually “for an outstanding publication in the fields of interest to the Society appearing anywhere during the preceding four calendar years.” The paper “A unified framework for one-shot achievability via the Poisson matching lemma,” by Li and Anantharam, appeared in the IEEE Transactions on Information Theory in February 2021, when Li was a postdoctoral fellow at Berkeley EECS. Li is now an assistant professor at the CUHK. Anantharam, who is an IEEE Fellow, received this award once before in 2008 for the paper “Bits Through Queues.”

Photo of Professor Boubacar Kanté

Boubacar Kanté and EECS researchers develop all-silicon quantum light source

A team of researchers led by Professor Boubacar Kanté has demonstrated the first on-demand quantum light source using silicon, an advancement towards creating photons in ways that would reliably feed quantum networks, or a quantum internet. “The possibility to use silicon as a source of quantum light signifies that current large-scale Complementary Metal-Oxide Semiconductor (CMOS) chip manufacturing processes at the core of today’s optoelectronics and artificial intelligence (AI) devices may be directly used for future quantum systems,” Kanté said. He elaborated further: "In this work, we successfully embedded for the first time an atomic defect in silicon the size of atoms (1 angstrom) in a silicon photonic cavity (1 micron) with the size of less than one-tenth of a human hair. The cavity forces the atom to be brighter, and it emits photons at a faster rate. Those are necessary ingredients for scalable quantum light sources for the future [quantum] internet." This research was published in Nature Communications on June 7th, 2023. The study was led by post-doctoral scholars Walid Redjem and Wayesh Qarony, and Yertay Zhiyenbayev, a third-year Ph.D. student in Kanté’s group. Other co-authors include Schenkel, Vsevolod Ivanov, Christos Papapanos, Wei Liu, Kaushalya Jhuria, Zakaria Al Balushi, Scott Dhuey, Adam Schwartzberg and Liang Tan. The National Science Foundation and the Department of Energy provided the primary support for the study. Additional funding came from the Office of Naval Research, the Moore Inventor Fellows program and UC Berkeley’s Bakar Fellowship.

Two photos, side-by-side. Photo of Logan Horowitz left, Haifah Sambo right.

Two graduate students receive technical awards at IEEE APEC

Two Berkeley EECS graduate students, Haifah Sambo and Logan Horowitz, received separate Technical Session Best Presentation Awards at the 2023 IEEE Applied Power Electronics Conference (APEC), after a rigorous review process that highlights the conference's most innovative technical solutions. Sambo received a Technical Lecture Award, for her oral presentation of her paper, "Autotuning of Resonant Switched-Capacitor Converters for Zero Current Switching and Terminal Capacitance Reduction," while Horowitz received a Technical Dialogue Award, for his poster presentation paper of his paper "Decoupling Device for Small Commutation Loop and Improved Switching Performance with Large Power Transistors." APEC focuses on the practical and applied aspects of the power electronics business and is the premier conference in the field. The technical program includes peer-reviewed papers that cover all areas of technical interest for practicing power electronics professionals. Both Sambo and Horowitz are advised by Professor Robert Pilawa-Podgurski. 
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Alane Suhr receives honorable mention for ACM Doctoral Dissertation Award

EECS Assistant Professor Alane Suhr has received an honorable mention for the 2022 ACM Doctoral Dissertation Award. Suhr’s dissertation, “Reasoning and Learning in Interactive Natural Language Systems,” was honored “for formulating and designing algorithms for continual language learning in collaborative interactions, and designing methods to reason about context-dependent language meaning.” Suhr’s research is focused on natural language processing, machine learning, and computer vision. Suhr will be joining Berkeley EECS as an assistant professor in July 2023.

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Berkeley EECS graduate programs lead US News Rankings

The U.S. News & World Report ranked both the Electrical Engineering and Computer Science graduate programs at Berkeley EECS among the top three graduate programs in the nation for 2023. Computer Science is ranked #1, tied with MIT and Stanford. Electrical Engineering and Computer Engineering are ranked #2, tied with Stanford. The magazine based its rankings on responses from 202 engineering schools across the country, including data from fall 2022 and early 2023. This year, U.S. News included non-responders from the 220 schools surveyed, so long as they reported enough data to be eligible in 2022.

A diptych of the best prize recipients. Left: Nathan Brooks presenting; Right: the remaining authors posing for a photo at SPEC 2022
Left to right: Nathan Brooks, Samantha Coday, Rose Abramson, Robert Pilawa-Podgurski, Nathan Ellis, and Margaret Blackwell

EECS Grads win IEEE COMPEL Best Paper Award

Graduate students Nathan Brooks, Samantha Coday, Maggie Blackwell, Rose Abramson, and post-doc Nathan Ellis have won the IEEE COMPEL Best Paper Award for their paper, "Operation of Flying Capacitor Multilevel Converters At and Above Resonance." The paper was presented at the 23rd IEEE Workshop on Control and Modeling for Power Electronics (COMPEL), which took place in Tel Aviv, Israel. COMPEL is the premier conference on the latest advances in modeling, simulation, analysis, and control of power electronics devices, circuits and systems. The criteria for the award are based on the quality of the technical results, write-up, and presentation. The paper describes a new method for operating flying capacitor multilevel converters at and above resonance, which has proven to be more efficient and with better performance than existing methods. In addition to the best paper award, the group, advised by Professor Robert Pilawa-Podgurski, organized and presented a tutorial at the IEEE 7th Southern Power Electronics Conference (SPEC) in December 2022.