2022 Quantum Innovators in Computer Science and Mathematics participants

Participant name and institute Participant name and institute
Ulysse Chabaud, California Institute of Technology William Kretschmer, University of Texas at Austin
Anthony Chi-Fang Chen, California Institute of Technology Murphy Yuezhen Niu, Google Quantum
Alex Dalzell, Amazon Web Services, Center for Quantum Computing Subhasree Patro, Centrum Wiskunde & Informatica
Di Fang, University of California, Berkeley Armanda O. Quintavalle, University of Sheffield
Flaminia Giacomini, Perimeter Institute Mehdi Soleimanifar, California Institute of Technology
Dominik Hangleiter, University of Maryland Ewin Tang, University of Washington
Robert Huang, California Institute of Technology Kianna Wan, Stanford University
Zahra Khanian, Technical University of Munich James Watson, University of Maryland

Ulysse Chabaud, California Institute of Technology

I am Ulysse Chabaud, currently a postdoctoral scholar at California Institute of Technology. Before that, I was a postdoctoral fellow at the Institut de Recherche en Informatique Fondamentale in Paris. I obtained my PhD in Computer Science from Sorbonne Université in 2020,my thesisis entitled: "Continuous-variable quantum advantages and applications in quantum optics". My research interests cover various topics related to quantum information theory, such as quantum computing, quantum cryptography and quantum communication. I investigate the necessary resources for quantum advantages and how they translate to foundational questions, in the context of continuous-variable quantum computational models in particular.

Anthony Chi-Fang Chen, California Institute of Technology

Chi-Fang Chen (Anthony) is a physics PhD Student at Caltech working with Fernando Brandao and Joel Tropp. His research focuses on the interplay between math and physics in quantum information theory and quantum dynamics. Topics and tools include quantum dynamic bounds, matrix concentration, thermodynamics, quantum chaos and quantum simulations. His research is supported by the Eddleman Fellowship.

Alex Dalzell, Amazon Web Services, Center for Quantum Computing

Alex Dalzell is a research scientist at Amazon Web Services (AWS), Center for Quantum Computing. His current primary research interest is in quantum algorithms, especially algorithms for optimization. He is also interested in quantum information more broadly, and during his PhD at Caltech, he worked primarily on the complexity theoretic foundations of quantum computational supremacy experiments with random quantum circuits.

Di Fang, University of California, Berkeley

Di Fang is currently a Simons quantum postdoc, hosted by Prof. Lin Lin and Prof. Umesh Vazirani, at Simons Institute for the Theory of Computing and Department of Mathematics, University of California, Berkeley. She was a Morrey visiting assistant professor at Department of Mathematics, University of California, Berkeley. She received her PhD in mathematics from University of Wisconsin-Madison. Her research focuses on applied and numerical analysis of differential equations with wide applications to quantum non-adiabatic dynamics and quantum algorithms. She is a recipient of the NSF grant by Division of Mathematical Sciences as a single Principal Investigator.

Flaminia Giacomini, Perimeter Institute

Flaminia Giacomini is the Yvonne Choquet-Bruhat Postdoctoral Fellow at Perimeter Institute. After graduating in Sapienza University in Rome with a master’s thesis in quantum gravity, she completed her PhD in quantum information and quantum foundations at the University of Vienna and IQOQI Vienna, under the supervision of Caslav Brukner. Her research interest lie at the interface between quantum theory and general relativity. In particular, she uses quantum information tools to ask fundamental questions on the nature of space, time and causality.

Dominik Hangleiter, University of Maryland

I am a quantum scientist working at the interface between computer science, mathematics and physics, as wellas the philosophy of quantum science. In my research, I explore the potential of analog and digital quantumcomputing devices. I do so from the theoretical perspective of computational complexity and classical simulationalgorithms, but also with the goal of improving those devices using practical and resource-efficient characterizationtools. I also enjoy thinking about methodological aspects of science from a philosophy of science perspective. I amcurrently a Hartree postdoctoral fellow at QuICS in Maryland and received my Ph.D. from Freie Universität Berlin.

Robert Huang, California Institute of Technology

Hsin-Yuan Huang (Robert) is a Ph.D. student at Caltech, advised by John Preskill and ThomasVidick. His research focuses on understanding how learning theory can provide new insights intophysics, information, and quantum computing. Some of the central works include classicalshadow tomography for learning large-scale quantum systems, provably efficient machinelearning algorithms for solving quantum many-body problems, and the study of quantumadvantages in machine learning. He is the recipient of a Google Ph.D. fellowship.

Zahra Khanian, Technical University of Munich

Zahra Khanian is currently an MCQST Distinguished Postdoctoral Fellow in the group of Prof. Robert Koenigatthe Technical University of Munich, and she will start as a Marie Curie Postdoctoral fellow from November 2022. She obtained a Ph.D. degree with Excellent Cum Laude from Autonomous University of Barcelon a and ICFO (The Institute of Photonic Sciences) under the supervision of Prof. Andreas Winterand Prof. Maciej Lewenstein. She obtained her M.Sc. and B.Sc. in electrical engineering respectively from Sharif University of Technology and Amirkabir University of Technology, Tehran, Iran.

William Kretschmer, University of Texas at Austin

William Kretschmer is a PhD student at UT Austin advised by Scott Aaronson. He is broadly interested in quantum complexity theory, and has focused on quantum query complexity with applications to cryptography, learning theory, and algorithms. His research is supported by an NDSEG Fellowship.

Murphy Yuezhen Niu, Google Quantum

Murphy Yuezhen Niu will start as an assistant professor in the Department of Computer Science in January 2023. She will also have an appointment in the University of Maryland Institute for Advanced Computer Studies as a Fellow in the Joint Center for Quantum Information and Computer Science.Dr. Niu is currently a senior research scientist in the Google Quantum AI team, where her work focuses on intelligent quantum control optimization and metrology, quantum machine learning, quantum algorithm design and near-term quantum error correction. Dr Niu applies cutting edgedeep reinforcement learning and generative models to quantum control, quantum circuit compilation, and quantum system learning using some of the largest quantum computers based on superconducting qubits.Dr. Niu received her doctorate in theoretical and mathematical physics from MIT in 2018. She received the Claude E. Shannon Research Assistantship for her work at the intersection of photonic quantum computation, quantum error correction and quantum cryptography.

Ph.D., Massachusetts Institute of Technology (Theoretical and Mathematical Physics)B.A., Peking University (Physics)

Subhasree Patro, Centrum Wiskunde & Informatica

I am a PhD student at QuSoft, CWI since October 2018. I hold a master’s degree in Computer Science and Engineering from IIIT-Hyderabad, India. I am currently working in the field of quantum computing, algorithms and complexity theory mainly focusing on getting conditional quantum time lower bounds for problems in BQP.

I identify myself as a woman and am a mother of a 5 year old.

Armanda O. Quintavalle, University of Sheffield

Armanda is a graduate student at The University of Sheffield. She received a B.Sc. degree in mathematics (2015) from the University of Pisa and an M.Sc. degree in mathematics (2018) from the University of Trento.Her research interests include quantum error correction and quantum computation.

Mehdi Soleimanifar, California Institute of Technology

Mehdi Soleimanifar is a postdoctoral fellow in the Institute for Quantum Information and Matter at Caltech. Before joining Caltech, he received his PhD in physics from MIT under the supervision of Aram Harrow. Mehdi is broadly interested in quantum information science and has done research at the interface of quantum computing, theoretical computer science, and many-body physics.

Ewin Tang, University of Washington

Ewin Tang is a fifth-year graduate student in computer science at the University of Washington, advised by James Lee. Her interests are broadly in randomized and quantum algorithms. Her recent work has focused on using techniques from sketching and sampling algorithms to analyze proposed speedups from quantum machine learning algorithms. Specifically, these results have shown major barriers to practical speedups for several significant QML algorithms. She is supported by a fellowship from the NSF GRFP.

Kianna Wan, Stanford University

Kianna is currently a PhD student at Stanford University and a part-time student researcher on Google Quantum AI's algorithms team. She has developed quantum algorithms for a variety of problems, and is interested in many other areas of quantum computation and quantum information, including complexity theory, error correction, and metrology. She received her BSc in Mathematical Physics from the University of Waterloo.

James Watson, University of Maryland

James is a postdoc at the University of Maryland, working at the interface between computer science, mathematics and physics. His work focuses on using tools from theoretical computer science to explore complex physical systems. In particular, what are the limitations on what we are able to find out about how a system behaves just given just a microscopic description of the physics? He is also interested in finding ways of simulating quantum systems on NISQ devices, and pushing the boundaries of what is possible on NISQ devices. Previously he received his PhD from University College London in 2021 under Dr. Toby Cubitt. Before moving to London, he studied physics and math at the University of Cambridge.