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Invited Speakers and Industry Session Speakers

Murphy Niu

Senior Research Scientist
Google Quantum AI
Murphy Niu
  • Murphy Niu

    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 edge deep 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. 

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Richard Keung

Associate Professor for Quantum Computing
Johannes Kepler University Linz, Austria
Richard Keung
  • Richard Keung

    Richard Kueng pursues an interdisciplinary research agenda at the interface between computer science (algorithms & computational complexity), physics (quantum information & quantum technologies) and applied math (convex geometry & high dimensional probability theory). Broadly speaking, he aspires to develop efficient and simple solutions for important algorithmic challenges that also come with rigorous performance guarantees. Concrete examples are efficient subroutines for quantum and classical data processing, as well as (convex) optimization. Applications in optics, wireless communication, the math of voting and electronic design automation are also within his portfolio.

    Together with Hsin-Yuan Huang and John Preskill (both at Caltech), Richard Kueng developed the classical shadow formalism – an efficient quantum-to-classical conversion procedure that has made a lasting impact on quantum computing technologies.

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Kianna Wan

PhD Candidate
Stanford University
Kianna Wan
  • Kianna Wan

    Kianna is currently a PhD student at Stanford University and a part-time researcher on Google’s Quantum AI team. She has developed algorithms for a variety of problems, contributing novel techniques for various aspects of quantum simulation, as well as quantum speedups for classical problems. More broadly, she is interested in a range of topics in quantum information, and has worked on quantum metrology, circuit compilation, and fault-tolerant architectures. 

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Garnet Chan

Bren Professor of Chemistry
Caltech
Garnet Chan
  • Garnet Chan

    Garnet Chan's research lies at the interface of theoretical chemistry, condensed matter physics, and quantum information theory, and is concerned with quantum many-particle phenomena and the numerical methods to simulate them. 

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Nicolas Delfosse

Principal Researcher
Microsoft Research
Nicolas Delfosse
  • Nicolas Delfosse

    Nicolas Delfosse is a Principal Researcher at Microsoft. He is broadly interested in quantum error correction and fault-tolerant quantum computation. His current focus in research is on designing practical quantum error correction schemes that meet the constraints of current or near term quantum hardware. He is also excited about new ideas to build low-overhead quantum error correction schemes which could significantly reduce the qubit count and the runtime of large-scale fault-tolerant quantum computer.

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Francesco Battishel

Roadmap Leader Fault-Tolerant Quantum Computing
QBlox
Francesco Battishel

Shane Mansfield

Chief Research Officer and late Founder
Quandela
Shane Mansfield
  • Shane Mansfield

    Shane Mansfield holds a doctorate in quantum computer science from the University of Oxford, where he was later a Junior Research Fellow at Wolfson College. He went on carry out postdoctoral research at the University of Paris where he was a laureate of the Paris Foundation for Mathematical Sciences, the University of Edinburgh School of Informatics, was an invited researcher at the Simons Institute, Berkeley, and held a Marie-Curie Individual Fellowship at Sorbonne University.

    He joined Quandela in 2020 to launch its theory, software and applications activities and to accompany the company's evolution towards full-stack quantum computing solutions.

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