Yuan Su

Yuan Su

Postdoctoral Scholar Researcher

Caltech

Biography

Yuan Su is a Postdoctoral Scholar Research Associate working on quantum computing at the Institute for Quantum Information and Matter, California Institute of Technology. His research focuses mainly on the theoretical side of quantum simulation, with the purpose of understanding and optimizing the performance of quantum algorithms for simulating quantum physics.

Su obtained his doctorate degree in Computer Science from the University of Maryland. His academic adviser was Andrew Childs. Contributions from his thesis “Algorithms for Quantum Simulation: Design, Analysis, Implementation, and Application” were recognized by the 2020 Larry S. Davis Doctoral Dissertation Award.

He is a recipient of the 2019 Google PhD Fellowship in quantum computing.

Interests
  • Quantum algorithms
  • Quantum simulation
  • Quantum computing
Education

  • PhD in Computer Science, 2020

    University of Maryland

  • MSc in Applied Mathematics, 2015

    Peking University

  • BEng in Computer Science, 2012

    Beijing University of Posts and Telecommunications

Experience

 
 
 
 
 
Postdoctoral Scholar Research Associate
Caltech
Jul 2020 – Present Pasadena, California
Designed and analyzed quantum algorithms for quantum chemistry and quantum field theory.
 
 
 
 
 
Research Intern
Google
May 2019 – Aug 2019 Venice, California
Estimated the resource requirements of quantum algorithms for quantum chemistry simulation.
 
 
 
 
 
Research Intern
Microsoft
May 2018 – Aug 2018 Redmond, Washington
Designed and analyzed quantum algorithms for quantum chemistry simulation.
 
 
 
 
 
Teaching Assistant
University of Maryland
Aug 2016 – Dec 2016 College Park, Maryland
Served as a teaching assistant of Introduction to quantum information processing (CMSC 858K).
 
 
 
 
 
Graduate Research Assistant
University of Maryland
Aug 2015 – May 2020 College Park, Maryland
Designed and analyzed quantum algorithms for simulating quantum systems.
 
 
 
 
 
Teaching Assistant
Peking University
Sep 2013 – Jan 2015 Beijing, China
Served as a teaching assistant of Advanced Linear Algebra (I) and (II).

Recent Talks

A Theory of Trotter Error (IQIM Seminar)
The Lie-Trotter formula, together with its higher-order generalizations, provides a direct approach to decomposing the exponential of a …
Oct 30, 2020
Video
A Theory of Trotter Error (IQIM Seminar)
Toward the first quantum simulation with quantum speedup (NQN 2020)
With quantum computers of significant size now on the horizon, we should understand how to best exploit their initially limited …
Sep 17, 2020
Video
Toward the first quantum simulation with quantum speedup (NQN 2020)
A Theory of Trotter Error (QCTIP 2020)
The Lie-Trotter formula, together with its higher-order generalizations, provides a direct approach to decomposing the exponential of a …
Apr 8, 2020
Video
A Theory of Trotter Error (QCTIP 2020)
A Theory of Trotter Error (QIP 2020)
The Lie-Trotter formula, together with its higher-order generalizations, provides a direct approach to decomposing the exponential of a …
Jan 10, 2020
Video
A Theory of Trotter Error (QIP 2020)
Digital quantum simulation by product formulas (TQC 2019)
Merged talk.

Faster quantum simulation by randomization:
Product formulas can be used to simulate Hamiltonian dynamics on a quantum …
Jun 5, 2019
Video
Digital quantum simulation by product formulas (TQC 2019)
Toward the first quantum simulation with quantum speedup (QIP 2018)
With quantum computers of significant size now on the horizon, we should understand how to best exploit their initially limited …
Jan 15, 2018
Video
Toward the first quantum simulation with quantum speedup (QIP 2018)

Featured Publications

Nearly tight Trotterization of interacting electrons
We consider simulating quantum systems on digital quantum computers. We show that the performance of quantum simulation can be improved …
Yuan Su, Hsin-Yuan Huang, Earl T. Campbell
PDF
Nearly tight Trotterization of interacting electrons
Algorithms for quantum simulation: design, analysis, implementation, and application
Simulating the Hamiltonian dynamics of quantum systems is one of the most promising applications of digital quantum computers. In this …
Yuan Su
PDF
Algorithms for quantum simulation: design, analysis, implementation, and application
Faster Digital Quantum Simulation by Symmetry Protection
Simulating the dynamics of quantum systems is an important application of quantum computers and has seen a variety of implementations …
Minh C. Tran, Yuan Su, Daniel Carney, Jacob M. Taylor
PDF
Faster Digital Quantum Simulation by Symmetry Protection
Time-dependent Hamiltonian simulation with $L^1$-norm scaling
The difficulty of simulating quantum dynamics depends on the norm of the Hamiltonian. When the Hamiltonian varies with time, the …
Dominic W. Berry, Andrew M. Childs, Yuan Su, Xin Wang, Nathan Wiebe
PDF
Time-dependent Hamiltonian simulation with $L^1$-norm scaling
Approximate Quantum Fourier Transform with $O(n\log(n))$ T gates
The ability to implement the Quantum Fourier Transform (QFT) efficiently on a quantum computer facilitates the advantages offered by a …
Yunseong Nam, Yuan Su, Dmitri Maslov
PDF
Approximate Quantum Fourier Transform with $O(n\log(n))$ T gates
A Theory of Trotter Error
The Lie-Trotter formula, together with its higher-order generalizations, provides a simple approach to decomposing the exponential of a …
Andrew M. Childs, Yuan Su, Minh C. Tran, Nathan Wiebe, Shuchen Zhu
PDF
A Theory of Trotter Error
Faster quantum simulation by randomization
Product formulas can be used to simulate Hamiltonian dynamics on a quantum computer by approximating the exponential of a sum of …
Andrew M. Childs, Aaron Ostrander, Yuan Su
PDF
Faster quantum simulation by randomization
Framework for Hamiltonian simulation and beyond: standard-form encoding, qubitization, and quantum signal processing
A unified framework for quantum simulation developed by Guang Hao Low and Isaac L. Chuang that leads to a simulation algorithm with not only optimal query complexity but also low ancilla overhead.
Yuan Su
Link
Framework for Hamiltonian simulation and beyond: standard-form encoding, qubitization, and quantum signal processing
Nearly optimal lattice simulation by product formulas
We consider simulating an $n$-qubit Hamiltonian with nearest-neighbor interactions evolving for time $t$ on a quantum computer. We show …
Andrew M. Childs, Yuan Su
PDF
Nearly optimal lattice simulation by product formulas
Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics
Quantum computing is powerful because unitary operators describing the time-evolution of a quantum system have exponential size in …
András Gilyén, Yuan Su, Guang Hao Low, Nathan Wiebe
PDF
Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics
Toward the first quantum simulation with quantum speedup
With quantum computers of significant size now on the horizon, we should understand how to best exploit their initially limited …
Andrew M. Childs, Dmitri Maslov, Yunseong Nam, Neil J. Ross, Yuan Su
PDF
Toward the first quantum simulation with quantum speedup

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