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Yi-Kai Liu (Fed)

Computer Scientist

Yi-Kai Liu is a researcher specializing in quantum computation, cryptography and machine learning. His contributions include theoretical work on quantum algorithms and computational complexity; techniques for characterizing experimental quantum information processors using compressed sensing; and the development of NIST standards for post-quantum cryptography. He also served as co-director of QuICS, the NIST-UMD Joint Center for Quantum Information and Computer Science, from 2020 to 2025. 

Awards

Excellence in Research Award in Computer Science, Washington Academy of Sciences (2025)

Publications

Random pulse sequences for qubit noise spectroscopy

Author(s)
Kaixin Huang, Demitry Farfurnik, Alireza Seif, Mohammad Hafezi, Yi-Kai Liu
Qubit noise spectroscopy is an important tool for the experimental investigation of open quantum systems. However, conventional techniques for implementing

Status Report on the Fourth Round of the NIST Post-Quantum Cryptography Standardization Process

Author(s)
Gorjan Alagic, Maxime Bros, Pierre Ciadoux, David Cooper, Quynh Dang, Thinh Dang, John Kelsey, Jacob Lichtinger, Yi-Kai Liu, Carl Miller, Dustin Moody, Rene Peralta, Ray Perlner, Angela Robinson, Hamilton Silberg, Daniel Smith-Tone, Noah Waller
The National Institute of Standards and Technology is selecting public-key cryptographic algorithms through a public, competition-like process. The new public

Resilience-Runtime Tradeoff Relations for Quantum Algorithms

Author(s)
Luis Pedro Garcia-Pintos, Tom O'Leary, Tanmoy Biswas, Jacob Bringewatt, Lukasz Cincio, Lucas Brady, Yi-Kai Liu
A leading approach to algorithm design aims to minimize the number of operations in an algorithm's compilation. One intuitively expects that reducing the number

Patents (2018-Present)

Created July 30, 2019, Updated July 9, 2025
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