Feb
04
Date: 04-February-2026
Time: 11:00 AM ET (New York Time)
Presenter(s): Dr. Yuan Liu
About this topic:
Signal processing stands as a pillar of classical computation and modern information technology, applicable to both analog and digital signals. Recently, advancements in quantum information science have suggested that quantum signal processing (QSP) can enable more powerful signal processing capabilities. However, the developments in QSP have primarily leveraged digital quantum resources, such as discrete-variable (DV) systems like qubits, rather than analog quantum resources such as continuous-variable (CV) systems like quantum oscillators. The presenter will present a new paradigm of mixed analog-digital QSP that addresses this gap. He will showcase how mixed analog-digital QSP naturally enables analog-digital conversion of quantum signals and will further demonstrate the power of this new scheme in realizing approximate quantum Fourier transform and quantum sensing applications. Collectively, this work marks a significant step forward in hybrid CV-DV quantum computing, providing a foundation for scalable analog-digital signal processing on quantum processors.
About the presenter(s):
Yuan Liu (M’23) received the B.S. in physics from Tsinghua University in Beijing, China, the M.S. in electrical engineering and the Ph.D. in chemical physics in 2020 as a Presidential Fellow with the William R. Potter Prize from Brown University in Providence, Rhode Island, USA in 2015, 2018 and 2020, respectively.
He is currently an Assistant Professor of Electrical & Computer Engineering and Computer Science at North Carolina State University. He is also an affiliated faculty in Physics and an NSF QCIS Faculty Fellow. Prior to joining NC State faculty in 2024, he was a postdoctoral researcher in the Research Laboratory of Electronics and Department of Physics at the Massachusetts Institute of Technology in Boston, Massachusetts. His research interests lie at the intersection of quantum information science, theoretical chemistry and physics, and quantum engineering. Some recent topics include quantum algorithms and simulation, quantum signal processing, hybrid continuous-discrete-variable quantum computing, algorithmic-level error-correction, and quantum sensing.
Dr. Liu is a Scialog Fellow, recipient of the Goodnight Early Career Innovator Award (2025) and the ECE Rising Star Award (2025). He is a member of the IEEE Applied Signal Processing Systems Technical Committee (ASPS TC) and serves as an editor for the Quantum Journal and the IEEE Computer Magazine.
