IEEE Princeton Central Jersey Section

This talk will cover practical challenges for cryogenic CMOS designs for next generation quantum computing. Starting from system level, it will detail the design considerations for a non-multiplexed, semi-autonomous, transmon qubit state controller (QSC) implemented in 14nm CMOS FinFET technology. 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 75.5μS and 73 μS, 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 Speaker(s): Sudipto Chakraborty, Agenda: Refreshments Distinguished Lecture Room: B205, Bldg: Engineering Quad, Olden Street, Princeton, New Jersey, United States, 08544

This talk will cover practical challenges for cryogenic CMOS designs for next generation quantum computing. Starting from system level, it will detail the design considerations for a non-multiplexed, semi-autonomous, transmon qubit state controller (QSC) implemented in 14nm CMOS FinFET technology. 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 75.5μS and 73 μS, 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 Speaker(s): Sudipto Chakraborty, Agenda: Refreshments Distinguished Lecture Room: B205, Bldg: Engineering Quad, Olden Street, Princeton, New Jersey, United States, 08544

Join the IEEE Foundation on Friday, 8 November, at 11:30 a.m. EST for an IEEE Foundation Estate Planning Luncheon at the beautiful Bell Works venue in Holmdel, NJ. This event is an opportunity for IEEE Members and friends to gather and connect with peers before the holidays and to see how investing in the future could keep many of the IEEE activities and programs thriving for generations to come. Estate planning encompasses various components, and knowing which ones apply to you and the correct order in which to address them is essential. Often, people focus on reducing inheritance taxes at the expense of maximizing retirement cash flow and lowering effective tax rates. It is crucial to understand how properly structuring assets and cash flows can lead to increased retirement cash flow and reduced tax rates during your lifetime. Our keynote speaker is Shaun Scutellaro, CPA and Partner at Cohn Reznick, LLP. Shaun has extensive career experience in public and private accounting and domestic and foreign tax. He is a member of the AICPA and NJCPA and is beginning a term on the board of Trustees for NJCPA compliance for individuals. Shaun will guide us through his expertise in a brief and insightful seminar on estate planning. Event Details: Speaker: Shaun Scutellaro, CPA Moderated by: Danny DeLiberato Location: Bell Works 101 Crawfords Corner Rd Holmdel, NJ 07733 Quantum Room Date: 8 November 2024 Time: 11:30 a.m. Eastern Standard Time (https://secure.ieeefoundation.org/site/Calendar?id=100202&view=Detail) If you are unable to attend the scheduled event, you can still receive materials by visiting the (https://www.ieeefoundation.org/our-supporters/ieee-goldsmith-legacy-league/). For additional information, contact Laura Bessey, Donor Engagement Specialist, at [email protected] or +1 732-465-7817. Warmest Regards, Joe Jesson Room: Quantum Room, Bldg: Bell Works, 101 Crawfords Corner Rd, Holmdel , New Jersey, United States, 07733

Welcome to the first session of the IEEE Princeton Central Jersey Section (PCJS) Data Analytics Group. As a Chair of this newly established group, I am excited to introduce a platform dedicated to fostering learning, collaboration, and growth in the rapidly evolving field of data analytics. This session is designed to welcome members, non-members, students, and aspiring data professionals, providing an overview of the fundamentals of data analytics and its growing significance across industries. We aim to offer valuable insights into how this group will serve as a community hub, bringing together industry experts to discuss current trends, key challenges, and emerging opportunities within the field of data analytics. Our mission is to empower learners at all levels by providing access to thought leaders, industry professionals, and real-world applications of data analytics. Attendees will gain a better understanding of the tools, techniques, and issues shaping the future of data analytics, as well as actionable strategies for advancing their skills and careers in this dynamic domain. This session marks the beginning of an ongoing conversation where we, as a community, will explore the limitless potential of data and how it can be harnessed to drive innovation and solve complex problems. Agenda: 6:00 PM - 6:30 PM : Pizza and Networking 6:30 PM - 7:30 PM : Talk 7:30 PM - 8:00 PM : Q/A and Wrap-up Room: Room CS 105, 35 Olden Street, Princeton, New Jersey, United States, 08544, Virtual: https://events.vtools.ieee.org/m/440552

With climate change already here and its effects all around us, it’s urgent to continue efforts across all industries to reduce CO2 emissions. But what about the information technology sector? The World-Wide Web we depend on enriches our lives in many areas: education, commerce, government, news, communication, and more. However, the infrastructure that enables it uses a lot of electricity — not all of which is generated from renewable resources (hence its CO2 generation.) Combining the fields of computers and the environment, a relatively new Website construction method called “Sustainable Web Design” is gaining awareness. This software-based approach reduces non-renewable energy to lower CO2 emissions so the people of today and tomorrow can benefit from everything that the Web offers. How a Website is constructed and presents its information has real-world effects! A Website can be built to serve smaller files, use less resources, and require less processing power — all of these help reduce non-renewable energy use and associated CO2 emissions. Sustainable Web Design also has side-benefits: a faster Website, better mobile device battery life, higher-placed mobile Google search results, and better accessibility. This presentation will introduce how to determine a Website’s sustainability, identify elements which can slow down a Web page, describe basic sustainable Web design strategies and techniques, offer easy to take actions and examples, present the perspective and advice of a Website Designer/Webmaster who remade his organization’s Website to be sustainable, and list additional resources to follow the latest developments. Speaker(s): , Michael Blank Room: 105, Bldg: Computer Science Building, 35 Olden St, Princeton, New Jersey, United States, 08544, Virtual: https://events.vtools.ieee.org/m/437519