Sudipto Chakraborty

Abstract: This talk will cover principles and application of current mode design techniques for ultra low power transceivers/signal generators. Current mode design techniques are becoming popular in recent times due to emergence of beamforming and AI/ML applications. In this talk, a few novel constructs for current mode designs shall be presented that are implemented using 14nm CMOS FinFET technology for qubit state controller (QSC) used for next generation quantum computing applications. The QSC includes an augmented general-purpose digital processor that supports waveform generation and phase rotation operations combined with a low power current-mode single sideband upconversion I/Q mixer-based RF arbitrary waveform generator (AWG). Implemented in 14nm CMOS FinFET technology, the QSC generates control signals in its target 4.5GHz to 5.5 GHz frequency range, achieving an SFDR > 50dB for a signal bandwidth of 500MHz. With the controller operating in the 4K stage of a cryostat and connected to a transmon qubit in the cryostat’s millikelvin stage, measured transmon T1 and T2 coherence times were 75.7μs and 73μs, respectively, in each case comparable to results achieved using conventional room temperature controls. In further tests with transmons, a qubit-limited error rate of 7.76x10-4 per Clifford gate is achieved, again comparable to results achieved using room temperature controls. The QSC’s maximum RF output power is -18 dBm, and power dissipation per qubit under active control is 23mW.

Bio: Sudipto Chakraborty received his B. Tech from Indian Institute of Technology, Kharagpur in 1998 and Ph.D. in EE from Georgia Institute of Technology in 2002. He worked as a researcher in Georgia Electronic Design Center (GEDC) till 2004. Since 2004 to 2016, he was a senior member of technical staff at Texas Instruments where he contributed to low power integrated circuit design in more than 10 product families in the areas of automotive, wireless, medical and microcontrollers. Since 2017, he has been working at the IBM T. J. Watson Research Center where he leads the low power circuit design for next generation quantum computing applications using nano CMOS technology nodes. He has authored or co-authored more than 75 papers, two books and holds 76 US patents. He has served in the technical program committees of various conferences including CICC, RFIC, IMS and has been elected as an IBM master inventor in 2022 for his contributions.

Low-power Analog, RF Design Using Current Mode Techniques

Open Talk to all IEEE members sponsored by the Circuits and Systems Society under its Distinguished Lecturer Program

Carlos Galup

Abstract: Most SPICE models of bipolar transistors are based on the charge control relation proposed by Gummel in 1970. There are good reasons for that; in effect, the Gummel-Poon model is considered the most simple, elegant, and computational efficient compact model yet developed. The first charge-controlled model for MOS transistors was proposed by Maher and Mead in 1987; since then, several research groups have proposed different charge-based MOSFET models. In this keynote we will focus on the ACM2.0 model proposed last year, which has striking similarities with the Gummel-Poon core equations, the use of only five DC electrical parameters being one of them. The great advantage of the single-piece equation model of the ACM2.0, with a few but meaningful electrical parameters, is its usefulness not only for simulation, but also for properly sizing transistors in the pre-simulation phase of a design flow. Furthermore, jointly with the open-source PDKs and tools, simple and accurate compact models in open-source simulators also help the entrance of new engineers in the integrated circuit design domain.

Bio: Carlos Galup-Montoro (M’89, SM’17) studied Engineering Sciences at the University of the Republic, Montevideo, Uruguay, and Electronic Engineering at the National Polytechnic School of Grenoble (INPG), France. He received an Engineering degree in electronics in 1979 and a doctorate degree in 1982, both from INPG. From 1982 to 1989 he worked at the University of São Paulo, Brazil. Since 1990 he has been with the Department of Electrical and Electronics Engineering, Federal University of Santa Catarina, Florianópolis, Brazil, where he is currently a professor. In the second semester of the academic year 1997-1998 he was a research associate with the Analog Mixed Signal Group, Texas A&M University. He was a visiting scholar at UC Berkeley from 2008 to 2009 and at IMEP/INPG in the first trimester of 2017.

Charge-based transistor models facilitate the IC design process and the designer education

Rikky Muller

Putting the Doctor in the Device - Intelligent Closed-loop Neural Therapeutics

Abstract: Neural interface technologies stand to revolutionize disease care for patients with neurological conditions and in the future, the human experience. Today, there are two main classes of neural interface technologies: (1) brain-machine interfaces that record neural activity to control external devices and (2) neuromodulation technologies that provide stimulation to treat interactable neurological conditions. Unifying recording and stimulation technologies with on-device machine learning in a small form factor will enable, intelligent, autonomous devices that can monitor, learn, diagnose, and treat disease. This talk will explore the evolution of neural therapeutic technologies and the current advances that are enabling miniaturized devices to be implanted into our bodies and to think like doctors, providing continuous care outside of the hospital.

Bio: Rikky Muller, PhD is an Associate Professor of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley where she holds the S. Shankar Sastry Professorship in Emerging Technologies, and is a Co-director of the Berkeley Wireless Research Center (BWRC). She received her BS and MS degrees from MIT and her PhD from UC Berkeley all in EECS, and was a McKenzie Fellow and Lecturer of EE at the University of Melbourne in Australia. She is the Co-founder of MZR Neurotech and Cortera Neurotechnologies, a medical device company that was acquired in 2019. Prior to her PhD she was an integrated circuit designer at Analog Devices. Dr. Muller was named one of MIT Technology Review's top 35 global innovators under the age of 35 (TR35), and one of MedTech Boston's top 40 healthcare innovators Under 40. She is the recipient of numerous fellowships and awards, including the IEEE SSCS New Frontier Award, the McKnight Technological Innovations in Neuroscience Award, National Academy of Engineering Gilbreth Lectureship, the Chan-Zuckerberg Biohub Investigatorship, the Keysight Early Career Professorship, the Hellman Fellowship, the Bakar Fellowship, the Bakar Prize, the NSF CAREER Award, and served a Distinguished Lecturer of the Solid-State Circuits Society.

Jan Rabaey

When technology meets biology – focus: brain

Abstract: The invention and subsequent explosive growth of semiconductor integrated circuits have had a tremendous impact on human society. Yet, when we reflect on that evolution, it is mostly the advance in computational complexity that comes to mind. Today, racks with thousands of processors and massive memory serve to solve complex modeling problems. Most recently those have boosted artificial intelligence to a capability that was hard to imagine even just one decade ago. Today these newly acquired proficiencies are making a profound impact in the fields of wellness, health and biology. As an example, Google’s Alphafold recently made major inroads into the understanding and analysis of protein folding, mostly driven by the enormous computational capacity at its command. Yet, just focusing on the increase in complexity of ICs does disservice to the many other contributions that advanced semiconductor technology is bringing to the domain of health and wellness. Extreme miniaturization, heterogeneous interfaces, innovative communication and advanced packaging have opened the door for a whole new class of medical devices that directly interact with the living tissue made of biological cells. This intimate interaction between biology and technology enables functionality that is just in its infancy, but already is changing the way medical care is administered. It opens the door for imaging from within, to act directly on the obtained information, and to be smart and intelligent about it. Without a doubt, these developments will lead to novel and unexpected trajectories in the field of healthcare. In this presentation, we will discuss the aforementioned evolutions in detail, with a special focus on the brain – as this is the least understood part of the human body and also the source of many diseases that greatly affect humanity. We will also discuss some of the aforementioned explorative paths, and address some of the concerns that are – rightly – raised regarding this convergence of technology and biology.

Bio: Jan is a Professor in the Graduate School in the EECS Department the University of California at Berkeley, after being the holder of the Donald O. Pederson Distinguished Professorship at the same institute for over 30 years. He is a founding director of the Berkeley Wireless Research Center (BWRC) and the Berkeley Ubiquitous SwarmLab, and has served as the Electrical Engineering Division Chair at Berkeley twice. In 2019, he also became the CTO of the System-Technology Co-Optimization (STCO) Division of IMEC, Belgium. Prof. Rabaey has made high-impact contributions to a number of fields, including low power integrated circuits, advanced wireless systems, mobile devices, sensor networks, and ubiquitous computing. Some of the systems he helped envision include the infoPad (a forerunner of the iPad), PicoNets and PicoRadios (IoT avant-la-lettre), the Swarm (IoT on steroids), Brain-Machine interfaces and the Human Intranet. His current interests include the conception of the next-generation distributed systems, as well as the exploration of the interaction between the cyber and the biological worlds. He is the primary author of the influential “Digital Integrated Circuits: A Design Perspective” textbook that has served to educate hundreds of thousands of students all over the world. He is the recipient of numerous awards among which the 2009 EDAA lifetime achievement award, is a Life Fellow of the IEEE, and has been involved in a broad variety of start-up ventures.

Carolina Mora López

Circuits and technologies for implantable biomedical devices

Abstract: Biological processes such as neuronal signaling and cell growth are among the most complex micro- and nano-scale processes in nature. Historically such processes have been studied at system level because there were no tools available to study individual components of the process. However, cellular-level interfacing is needed to provide better understanding of the brain and to develop more advanced prosthetic devices and brainmachine interfaces. With semiconductor technology innovations, much recent work has been focused on unraveling biological complexity, but also on driving new diagnoses, treatments and therapies that are tailored to the individual. One of the drivers behind those innovations is novel CMOS circuits enabling multi-modal, high-precision data collection and analysis at ultra-low power consumption. In this talk, I will present recent biomedical developments based on silicon technology, and I will discuss the requirements, materials, circuit techniques and design challenges of their ASIC and SoC platforms.

Bio: Carolina Mora Lopez received her Ph.D. degree in Electrical Engineering in 2012 from the KU Leuven, Belgium, in collaboration with imec, Belgium. From 2012 to 2018, she worked at imec as a researcher and analog designer focused on interfaces for neural-sensing applications. She is currently the Scientific Director and team leader of the circuits for neural interfaces team in imec. Her research interests include analog and mixed-signal circuit design for sensor, bioelectronics and neural interfaces. Carolina is a senior IEEE member and serves on the technical program committee of the VLSI Symposium, ISSCC and ESSCIRC conferences.

David Prutchi

AIMD-based Therapies of Heart Failure

Abstract: Heart failure, which affects an estimated 64 million people worldwide, is a condition in which the heart weakens to the point that it cannot pump sufficient oxygen-rich blood to meet the body’s needs. Patients with heart failure experience debilitating symptoms which significantly diminish their quality of life. Today, most heart failure patients are prescribed medications intended to slow the progression of the disease and manage their symptoms, but which provide limited or no improvement to the heart’s pumping ability. This talk will describe new implantable device-based therapies that have emerged to address the heart’s insufficient capacity, and which are demonstrating significant improvements in quality of life, and even reversion in the disease state.

Bio: David Prutchi received the Ph.D. in Biomedical Engineering from Tel-Aviv University. He conducted post-doctoral research at Washington University in St. Louis, after which he worked at Sulzer-Intermedics developing the company’s next-generation cardiac pacing platform. In 1998 he joined Impulse Dynamics, to lead the development of active implantable devices for the treatment of heart failure through cardiac contractility modulation. He is currently Impulse Dynamics’ Chief Technology Officer and Executive Vice-President.