About me
Xiaodi Wu ( in simplified Chinese )
I am an Assistant Professor in the Department of Computer Science and Institute for Advanced Computer Studies at the University of Maryland, College Park. I am also a Fellow at the Joint Center for Quantum Information and Computer Science (QuICS).
I received my Phd in theoretical computer science in 2013 (advisor: Yaoyun Shi) from the University of Michigan, Ann Arbor. I received my B.S. degree in mathematics and physics in 2008 from the Academic Talent Program, Tsinghua University.
Before coming to Maryland, I was an Assistant Professor in the Computer and Information Science Department at the University of Oregon from 2015 to 2017. Before that, I was a Postdoctoral Associate at Massachusetts Institute of Technology from 2013 to 2015 (advisor: Aram Harrow, Scott Aaronson, Edward Farhi and Peter Shor). I was also a Simons Research Fellow at the Simons Institute for the Theory of Computing at Berkeley, for the program of Quantum Hamiltonian Complexity in Spring 2014 (advisor: Umesh Vazirani). I also spent two summers at the Institute for Quantum Computing, University of Waterloo as a student intern (advisor: John Watrous).
Research Interests
My research aims to fill the gap between purely theoretical study of quantum applications and experimental implementation of quantum hardware and to achieve endtoend quantum applications. In particular, I believe that research on endtoend applications would benefit from endtoend thinking. To that end, my research investigates a broad range of perspectives of quantum computing, including its theoretical foundation, the theory and applications of nearterm quantum devices, and the software foundation (programming languages and system) of quantum computing.
In particular, it aims to contribute to the development of quantum information and computation through the study in theoretical computer science, which includes:
It also aims to contribute to the theory and practice of quantum machine learning, which includes:
It also aims to contribute to formal methods and programming languages (software foundation) in quantum computing, which includes:
quantum program analysis and verification
design of quantum programming languages, e.g., for domainspecific quantum applications and novel semantic constructs
error/resourceaware, reliable quantum program synthesis, especially optimized for nearterm quantum applications
hardware description languages and computeraided design for quantum devices
formally verified software toolchain for quantum computing (e.g. a certified optimizing complier for quantum programs)
as well as its application in quantum cryptography:
I am also interested in collaborating with experimentalists. Check my Research Overview for details of my existing and ongoing projects.
Shortcuts to Github of projects from my group.
Group Information
I am actively looking for students and postdocs who are interested in quantum computing.
For perspective postdocs, I am especially looking for candidates who have expertise in programming languages, logic, and formal methods and are interested in applying them in the field of quantum computing. For general interests in quantum computing, please consider applying to QuICS Hartree Postdoctoral Fellowship.
If you are interested in working with me, please send me an email to let me know of your interest.
Postdocs:
Liyi Li (coadvised with Mike Hicks, incoming)
Xiong Fan (coadvised with Jonathan Katz, 2020)
Robert Rand (coadvised with Mike Hicks, 20182020. Now an assistant professor at University of Chicago.)
QuICS Hartree Postdoctoral Fellows (who I have closely worked with): Penghui Yao (now Associate Professor at Nanjing University), Xin Wang (now Staff Researcher at Baidu), Cedric Lin (now at Amazon Quantum).
Students:
Shouvanik Chakrabarti, Xuchen You, Jessica Thompson, Yuxiang Peng, Jiaqi Leng, Jacob Young, Ethan Hickman, William Xu, Haowei Deng
News
10/2020, our research paper A Verified Optimizer for Quantum Circuits will appear at the 48th ACM SIGPLAN Symposium on Principles of Programming Languages (POPL 2021).
10/2020, our research paper Simulating Large Quantum Circuits on A Small Quantum Computer appears at Physical Review Letters.
06/2020, I am guest editing a special issue on the Techniques of Programming Languages, Logic, and Formal Methods in Quantum Computing (callforpapers) for ACM Transactions on Quantum Computing. Please contribute!! The deadline is August 15th, 2020.
02/2020, our research paper On the Principles of Differentiable Quantum Programming Languages will appear at the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2020).
02/2020, I am honored to be supported by the NSF CAREER award (CCF1942837) for investigation on the foundation of endtoend quantum applications.
01/2020, I am teaching CMSC/PHYS 457 in Spring 2020. I also maintain a MiniLibrary on the selflearning materials and references for studying quantum information.
12/2019, check out the course projects and new lecture notes from CMSC 657 in Fall 2019.
11/2019, our research paper Quantum algorithm for estimating volumes of convex bodies will appear at QIP 2020 as a singletrack talk.
09/2019, our research paper Quantum Wasserstein Generative Adversarial Networks will appear at the 33rd Annual Conference on Neural Information Processing Systems (NeurIPS 2019).
09/2019, I am helping manage the NSF Student Travel Grant (CCF1946395) for QIP 2020. Please submit your application according to the instruction by AoE November 4th, 2019.
07/2019, I am coorganizing the First International Workshop on Programming Languages and Quantum Computing (PLanQC 2020) at POPL 2020 with Michael Hicks and Robert Rand. The deadline for submission is AOE October 28, 2019.
06/2019, our research paper Verified Optimization in a Quantum Intermediate Representation (extended abstract) will appear at Quantum Physics and Logic (QPL 2019).
04/2019, our research paper Sublinear quantum algorithms for training linear and kernelbased classifiers will appear at the 36th International Conference on Machine Learning (ICML 2019).
04/2019, our research paper Quantum SDP Solvers: Large Speedups, Optimality, and Applications to Quantum Learning will appear at ICALP 2019.
11/2018, our research papers Quantum SDP Solvers: Large Speedups, Optimality, and Applications to Quantum Learning and Quantum algorithms and lower bounds for convex optimization will appear at QIP 2019.
10/2018, I am helping manage the NSF Student Travel Grant (CCF1840547) for QIP 2019. Please submit your application according to the instruction by AoE November 12th, 2018.
10/2018, our research paper Quantitative Robustness Analysis of Quantum Programs will appear at the 46th ACM SIGPLAN Symposium on Principles of Programming Languages (POPL 2019).
09/2018, I am organizing a reading group on quantum programming languages in Fall 2018.
09/2018, I am organizing a workshop on the intersection of machine learning and quantum information (Videos and Slides NOW AVAILABLE) at QuICS on September 24  28, 2018.
01/2017, our research papers General randomness amplification with nonsignaling security and Limitations of semidefinite programs for separable states and entangled games appeared at QIP 2017.
01/2017, our research paper Invariants of Quantum Programs: Characterizations and Generation appeared at the 44th ACM SIGPLAN Symposium on Principles of Programming Languages (POPL 2017).
Research supported by

National Science Foundation (NSF)


Department of Energy (DOE)


Air Force Office of Scientific Research (AFOSR)


Army Research Office (ARO)

I am part of the following collaborations:
Contact
Office: IRB 5210
Address:
Computer Science
5109 Brendan Iribe Center for Computer Science and Engineering
8125 Paint Branch Drive
University of Maryland
College Park, MD 20742
Email: xwu (at) cs.umd.edu
