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 identify and contribute to the research where the ideas from computer science in general, i.e., computational thinking, can help facilitate the implementation of endtoend quantum applications.
To that end, my research investigates a broad range of perspectives of quantum computing, including its theoretical foundation and applications, applications and system engineering of nearterm quantum devices, the software foundation (programming languages and system) of quantum computing,
and the computeraided design for quantum devices.
Specifically, 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 nearterm quantum applications, which includes:
quantum applications in optimization and machine learning
the foundation of variational quantum methods
quantum sensing networks for localization and synchronization
(practical) delegation and verification of quantum computation
architecture, control and system engineering for nearterm quantum machines
It also aims to contribute to formal methods and programming languages in quantum computing, which includes:
formally verified software toolchain for quantum computing (e.g. a certified optimizing complier for quantum programs)
quantum program design, analysis, and verification
analog quantum computing tool chain (e.g., compilation to analog quantum simulators)
mechanized and automated proof of the security of quantum cryptography
as well as its application in computeraided design of quantum devices:
Please check my Research Overview for details of my existing and ongoing projects.
Shortcuts to Projects from my group.
A Certified Quantum Software ToolChain
Analog Quantum Computing ToolChain
PostQuantum Cryptography: Certification of Security and Implementation
Differentiable Quantum Programming
Meta Programming for Quantum Computing
Quantum Machine Learning
Miscellaneous
Shortcuts to Expository Materials
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, 2020 )
Xiong Fan (coadvised with Jonathan Katz, 2020  2021. Now a researcher at Algorand. )
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 AWS Braket).
News
10/2021, I will give an invited talk in a special session on quantum machine learning at the 40th International Conference on Computer Aided Design (ICCAD 2021). slides video
08/2021, I am teaching an advanced graduate seminar course on the foundation of endtoend quantum applications (CMSC 858O) in Fall 2021.
07/2021, our research paper EasyPQC: Verifying PostQuantum Cryptography will appear at the ACM Conference on Computer and Communication Security (CCS 2021).
05/2021, Congratulations to Shouvanik Chakrabarti on the J.P. Morgan Chase FLARE Fellowship.
05/2021, our research paper Exponentially Many Local Minima in Quantum Neural Networks will appear at the 38th International Conference on Machine Learning (ICML 2021).
02/2021, Congratulations to Jiaqi Leng for presenting his first QIP talk Quantum Algorithms for Escaping from Saddle Points.
01/2021, Congratulations to Yuxiang Peng for winning the 2nd place in Student Research Competition (SRC) at POPL 2021.
01/2021, our research paper A Verified Optimizer for Quantum Circuits received a distinguished paper award at POPL 2021.
01/2021, I delivered a tutorial on the intersection of quantum computing and programming languages at POPL 2021. My slides are available here video.
12/2020, our research paper Sublinear Classical and Quantum Algorithms for General Matrix Games will appear at the 35th AAAI Conference on Artificial Intelligence (AAAI 2021).
11/2020, I am honored to be supported by the AFOSR Young Investigator Research Program (YIP) for developing Automated Security Analysis of Cryptographic Systems Under Quantum Attacks with formal methods.
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.
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
