Professor Stephen Bartlett
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Professor Stephen Bartlett

FAPS,FAIP,FRSN
Director, Sydney Nano
Professor, School of Physics
Professor Stephen Bartlett

Stephen Bartlett is a theoretical quantum physicist and Professor in the School of Physics. He leads a team pursuing both fundamental and applied research in quantum information theory, including the theory of quantum computing. He is a Chief Investigator in the Australian Research Council Centre of Excellence in Engineered Quantum Systems (EQUS), where he leads a research program on Designer Quantum Materials. He is the inaugural Lead Editor of the APS journal PRX Quantum.

Stephen is the Director of the University of Sydney Nano Institute. He sits on the Executive Board of the Sydney Quantum Academy, on the Quantum Expert Advisory Board of the new quantum computing initiative at Transport for NSW, and on the International Scientific Advisory Board of the Stewart Blusson Quantum Matter Initiative at UBC. He previously served as the Associate Dean Research for the Faculty of Science (2020-2023).

He is a Fellow of the American Physical Society (APS), the Australian Institute of Physics (AIP), and the Royal Society of NSW.

Stephen completed his Ph.D. in mathematical physics at the University of Toronto in 2000. Moving to Australia, he directed his research to the theory of quantum computing, first as a Macquarie University Research Fellow and then as an ARC Postdoctoral Research Fellow at the University of Queensland. Since 2005, he has led a research program in theoretical quantum physics at University of Sydney, with interests spanning quantum computing, quantum measurement and control, quantum many-body systems, and the foundations of quantum theory.

What exotic properties of quantum mechanics give quantum computers their power? How do we scale up 'quantum weirdness' from the size of an atom to the size of a mainframe? Stephen's interests lie in exploiting the latest results from the foundations of quantum mechanics, exotic quantum materials, the mathematics of topology, and even string theory to design the best quantum architectures for tomorrow's supercomputers.

In 2023, Stephen is lecturing Statistical Mechanics (3rd year Advanced).

Contact Stephen about research projects in theoretical quantum physics, focussing on quantum computing and the foundations of quantum theory, at all levels (Dalyell, SSP, Senior projects, Honours, MPhil and PhD).

PhD opportunities including generous scholarships and postdoctoral fellowships are available through the Sydney Quantum Academy.

Stephen is a Chief Investigator in the ARC Centre of Excellence for Engineered Quantum Systems, a member of Sydney Nano, and a partner and supervisor in the Sydney Quantum Academy.

Fellow of the American Physical Society (APS), elected 2020

Fellow of the Royal Society of New South Wales, elected 2020

Fellow of the Australian Institute of Physics (AIP), awarded 2008

SUPRA Supervisor of the Year 2017

Project titleResearch student
Topological quantum codes go hyperbolicLucas ENGLISH
Bayesian characterisation of quantum processorsTim EVANS
Noise Characteristics in Fault-Tolerant Quantum ComputationNicholas FAZIO
Understanding Quantum Advantage through ContextualityMaiyuren SRIKUMAR
Fault-tolerant logic gates for practical quantum computingFelix Thomsen THOMSEN
Quantum computing with Majorana fermionsGuangqi ZHAO

Publications

Download citations: PDF; RTF; Endnote

Selected Grants

2023

  • Entangled HEX : Building Superconducting LogicalQubits on a Heavy Hexagonal Lattice, Bartlett S, Harper R, US Army Research Laboratory (USA)/Research Grant

2020

  • SQA CDF, Bartlett S, Sydney Quantum Academy/SQA Scholarship
  • Scalable and Efficient Characterization of Noise for Fault-tolerant Quantum Computing, Bartlett S, Flammia S, US Army Research, Development and Engineering Command/Research Support
  • Verification and Certification of Quantum Fault-Tolerance VEQTOR, Bartlett S, US Army Research, Development and Engineering Command/Research Grant

In the media

Follow Stephen on Twitter: @BartlettQuantum

Related research articles

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