Joint Quantum Seminar - Prof. Jason Cong
Wednesday November 16, 2022
Pierce Hall 301
4:00 PM - 6:00 PM
Title: “FPGAs, Real-Time Processing, and Quantum Computing”
Abstract: An Field Programmable Gate Array (FPGA) is a programmable integrated circuits
that one can customize in his/her office/lab to get a dedicated application-specific
circuit for his/her own applications with much reduced processing latency and power
consumption compared to general-purpose CPUs. In this talk, I shall start with a quick
tutorial of the FPGA technology, including its architecture and design flow. Then, I shall
give examples how FPGAs are used for real-time processing and control, including recent
works on FPGA-based in-vivo calcium image processing and decoding and high-throughput
real-time processing for Compact Muon Solenoid (CMS) detector in the Large Hadron Collider
at CERN. Next, I shall discuss how FPGAs can be used in quantum computing, such as
closed-loop feedback for stabilizing frequency fluctuations and state initialization for
the superconducting qubits. Finally, I shall present our latest progress on high-level
synthesis (HLS) that supports dataflow programming and latency-insensitive designs. Our
goal is to facilitate researchers (e.g. everyone in the HQI community) to efficiently
design FPGAs with no or little prior circuit design experience.
10-minute presentation by Marcin Kalinowski begins at 4:00 PM
Refreshments begins at 4:15 PM
Guest Presentation begins at 4:30 PM
Marcin Kalinowski Talk
Title: Non-Abelian Floquet Spin Liquids in a Digital Rydberg Simulator
Abstract: Understanding topological matter is an outstanding challenge across several
disciplines of physical science. Programmable quantum simulators have emerged as a
powerful approach to studying such systems. While quantum spin liquids of paradigmatic
toric code type have recently been realized in the laboratory, controlled exploration of
topological phases with non-abelian excitations remains an open problem. We introduce and
analyze a new approach to simulating topological matter based on periodic driving.
Specifically, we describe a model for a so-called Floquet spin liquid, obtained through a
periodic sequence of parallel quantum gate operations that effectively simulates the
Hamiltonian of the non-abelian spin liquid in Kitaev's honeycomb model. We show that
this approach, including the toolbox for preparation, control, and readout of topological
states, can be efficiently implemented in state-of-the-art experimental platforms. One
specific implementation scheme is based on Rydberg atom arrays and utilizes recently
demonstrated coherent qubit transport combined with controlled-phase gate operations.
----
GUEST SPEAKER BIO:
JASON CONG is the Volgenau Chair for Engineering Excellence Professor at the UCLA Computer
Science Department (and a former department chair), with joint appointment from the
Electrical and Computer Engineering Department. He is the director of Center for
Domain-Specific Computing (CDSC) and the director of VLSI Architecture, Synthesis, and
Technology (VAST) Laboratory. Dr. Cong’s research interests include novel architectures
and compilation for customizable computing, synthesis of VLSI circuits and systems, and
highly scalable algorithms. He has over 500 publications in these areas, including 16 best
paper awards, and three papers in the FPGA and Reconfigurable Computing Hall of Fame. He
and his former students co-founded AutoESL, which developed the most widely used
high-level synthesis tool for FPGAs (renamed to Vivado HLS after Xilinx’s acquisition). He
was elected to an IEEE Fellow in 2000, ACM Fellow in 2008, the National Academy of
Engineering in 2017, and the National Academy of Inventors in 2020. He is the recipient of
the 2022 IEEE Robert Noyce Medal for fundamental contributions to electronic design
automation and FPGA design methods.
________________________________
From: Harvard Quantum Initiative
Sent: Monday, November 14, 2022 9:35 AM
To: harvard-quantum-initiative(a)lists.fas.harvard.edu
<harvard-quantum-initiative(a)lists.fas.harvard.edu>
Subject: HQI Joint Quantum Seminar - Prof. Jason Cong (UCLA)
Joint Quantum Seminar - Prof. Jason Cong
Wednesday November 16, 2022
Pierce Hall 301
4:00 PM - 6:00 PM
Title: “FPGAs, Real-Time Processing, and Quantum Computing”
Abstract: An Field Programmable Gate Array (FPGA) is a programmable integrated circuits
that one can customize in his/her office/lab to get a dedicated application-specific
circuit for his/her own applications with much reduced processing latency and power
consumption compared to general-purpose CPUs. In this talk, I shall start with a quick
tutorial of the FPGA technology, including its architecture and design flow. Then, I shall
give examples how FPGAs are used for real-time processing and control, including recent
works on FPGA-based in-vivo calcium image processing and decoding and high-throughput
real-time processing for Compact Muon Solenoid (CMS) detector in the Large Hadron Collider
at CERN. Next, I shall discuss how FPGAs can be used in quantum computing, such as
closed-loop feedback for stabilizing frequency fluctuations and state initialization for
the superconducting qubits. Finally, I shall present our latest progress on high-level
synthesis (HLS) that supports dataflow programming and latency-insensitive designs. Our
goal is to facilitate researchers (e.g. everyone in the HQI community) to efficiently
design FPGAs with no or little prior circuit design experience.
Student presentation begins at 4:00 PM
Refreshments begins at 4:15 PM
Guest Presentation begins at 4:30 PM
----
SPEAKER BIO:
JASON CONG is the Volgenau Chair for Engineering Excellence Professor at the UCLA Computer
Science Department (and a former department chair), with joint appointment from the
Electrical and Computer Engineering Department. He is the director of Center for
Domain-Specific Computing (CDSC) and the director of VLSI Architecture, Synthesis, and
Technology (VAST) Laboratory. Dr. Cong’s research interests include novel architectures
and compilation for customizable computing, synthesis of VLSI circuits and systems, and
highly scalable algorithms. He has over 500 publications in these areas, including 16 best
paper awards, and three papers in the FPGA and Reconfigurable Computing Hall of Fame. He
and his former students co-founded AutoESL, which developed the most widely used
high-level synthesis tool for FPGAs (renamed to Vivado HLS after Xilinx’s acquisition). He
was elected to an IEEE Fellow in 2000, ACM Fellow in 2008, the National Academy of
Engineering in 2017, and the National Academy of Inventors in 2020. He is the recipient of
the 2022 IEEE Robert Noyce Medal for fundamental contributions to electronic design
automation and FPGA design methods.
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