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Yi-Kai Liu (Fed)

Computer Scientist

Yi-Kai Liu is a researcher specializing in quantum computation, cryptography and machine learning. He has worked on tamper-resistant quantum devices for cryptography, compressed sensing methods for quantum tomography, quantum algorithms based on wavelet transforms, and the computational complexity of quantum chemistry. He is also a Fellow at QuICS, the Joint Center for Quantum Information and Computer Science at the University of Maryland. 

Publications

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

Author(s)
Dustin Moody, Gorjan Alagic, Daniel C. Apon, David A. Cooper, Quynh H. Dang, John M. Kelsey, Yi-Kai Liu, Carl A. Miller, Rene C. Peralta, Ray A. Perlner, Angela Y. Robinson, Daniel C. Smith-Tone, Jacob Alperin-Sheriff
The National Institute of Standards and Technology is in the process of selecting one or more public-key cryptographic algorithms through a public, competition

Classifying single-qubit noise using machine learning

Author(s)
Travis L. Scholten, Yi-Kai Liu, Kevin Young, Robin Blume-Kohout
As quantum information processors (QIPs) grow more sophisticated, characterizing their behavior becomes harder. Larger QIPs have more properties that need to be

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

Author(s)
Gorjan Alagic, Jacob M. Alperin-Sheriff, Daniel Apon, David Cooper, Quynh H. Dang, Carl A. Miller, Dustin Moody, Rene C. Peralta, Ray A. Perlner, Angela Y. Robinson, Daniel Smith-Tone, Yi-Kai Liu
The National Institute of Standards and Technology is in the process of selecting one or more public-key cryptographic algorithms through a public competition

Recovering quantum gates from few average gate fidelities

Author(s)
Yi-Kai Liu, Ingo Roth, Richard Kueng, Shelby Kimmel, David Gross, Jens Eisert, Martin Kliesch
Characterizing quantum processes is a key task in and constitutes a challenge for the development of quantum technologies, especially at the noisy intermediate
Created July 30, 2019