Simon Devitt FRSN FAIP | |
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Born | Simon John Devitt 17 July 1981 Adelaide, South Australia, Australia |
Nationality | Australian |
Alma mater | |
Known for | |
Scientific career | |
Fields | Physicist |
Institutions | |
Thesis | Quantum information engineering: concepts to quantum technologies |
Doctoral advisor | Lloyd CL Hollenberg |
Simon John Devitt FRSN FAIP (born 17 July 1981) is an Australian theoretical quantum physicist who has worked on large-scale Quantum computing architectures, Quantum network systems design, Quantum programming development and Quantum error correction. In 2022 he was appointed as a member to Australia's National Quantum Advisory Committee. [1]
Devitt received his BSc (Hons) in Physics from Melbourne University in 2004. He completed his PhD in physics under Lloyd Hollenberg at the Center for Quantum Computation (CQCT) at the University of Melbourne in 2008, with a thesis entitled Quantum information engineering: concepts to quantum technologies. [2] During his Ph.D, Devitt was awarded the Rae and Edith Bennett Travelling Scholarship at the Faculty of Mathematics, University of Cambridge, where he worked within the Centre for Quantum Computation, headed by Artur Ekert. [3]
Following his PhD, Devitt did postdoctoral research at the Japanese National Institute of Informatics in the group of Kae Nemoto, where he was promoted to assistant professor in 2011. Later, in 2014, he took a position of associate professor in physics at Ochanomizu University at the Leading Graduate School Promotion Center. In 2015 he took up a position as senior research scientist at the Japanese National Laboratories, Riken, in the Superconducting Quantum Simulation Research Team, headed by Jaw-Shen Tsai.
In 2017, he returned to Australia where he was appointed research fellow for the Australian Research Council Center of Excellence for Engineered Quantum Systems (EQUS) at Macquarie University and in 2018 he was appointed as lecturer in quantum architectures at the Center for Quantum Software and Information (QSI) at the University of Technology Sydney. [4] In 2020 he was awarded the inaugural Warren prize [5] by the Royal Society of New South Wales for his service to quantum computing development and in 2021 he was elected fellow of the Royal Society of New South Wales and the Australian Institute of Physics. In 2022 Devitt was appointed associate professor and research director of the Center for quantum software and information at UTS.
Devitt's research has focused on the design of practical large-scale systems architectures for quantum computing and communications system. He published the first architecture, in an atom-optical system, that utilised techniques in topological quantum error correction that could be conceptually scaled to an arbitrary number of encoded qubits. [6] In 2014, in collaboration with NTT Communications and TU Wien, he developed a design for a scalable system using the Nitrogen-vacancy center [7] and in 2017 he developed a large-scale system design for Ion trap quantum computing in collaboration with the University of Sussex. [8] Devitt has also worked in the development of scalable Quantum networks, developing designs for what is now known as 2nd [9] and 3rd [10] generation quantum repeaters and inventing, with scientists in Japan and Australia, a quantum version of Sneakernets. [11]
Devitt's recent work has focused largely on developing a software framework for large-scale, error-corrected machines, including methods to map high-level quantum circuits to machine level instructions [12] and how these error-corrected circuits need to be optimised to reduce the resource load on quantum computing hardware. [13]
In 2016, he established, with Jared Cole of RMIT University, the first consultancy specialising in quantum technology, [14] which became a founding member of the Spanish based industry group, the Quantum World Association (QWA). [15]
He has worked with and advised several companies and government agencies worldwide on quantum technology development, is regularly featured in the popular press, [16] [17] [18] [19] [20] and comments for outlets such as New Scientist and MIT Technology Review [21] [22] [23] [24] on developments in quantum technology research.
In 2016, Devitt created and hosts the Meet the meQuanics podcast, [25] where scientists, industry leaders and students discuss issues related to the new quantum technology sector.
20 June 2013 Devitt, S. J; Munro, W. J; Nemoto, K (2013). "Quantum error correction for beginners". Reports on Progress in Physics. 76 (7): 076001. arXiv: 0905.2794 . Bibcode:2013RPPh...76g6001D. doi:10.1088/0034-4885/76/7/076001. PMID 23787909. S2CID 206021660..
20 June 2016 Van Meter, R; Devitt, S.J (2016). "The path to scalable distributed quantum computing". Computer. 49 (9): 31–42. arXiv: 1605.06951 . doi:10.1109/MC.2016.291. S2CID 118421039..
20 September 2016 Devitt, S. J (2016). "Programming quantum computers using 3-D puzzles, coffee cups, and doughnuts". XRDS: Crossroads, the ACM Magazine for Students. 23 (1): 45–50. arXiv: 1609.06628 . Bibcode:2016arXiv160906628D. doi:10.1145/2983545. S2CID 12377031..
1 February 2017 Lekitsch, B; Weidt, S; Fowler, A. G; Molmer, K; Devitt, S. J; Wunderlich, C; Hensinger, W (2017). "Blueprint for a microwave trapped ion quantum computer". Science Advances. 3 (2): e1601540. arXiv: 1609.06628 . Bibcode:2017SciA....3E1540L. doi:10.1126/sciadv.1601540. PMC 5287699 . PMID 28164154..
7 December 2012 Horsman, C; Fowler, A. G; Devitt, S. J; Van Meter, R (2012). "Surface code quantum computing by lattice surgery". New J. Phys. 14 (12): 123011. arXiv: 1111.4022 . Bibcode:2012NJPh...14l3011H. doi:10.1088/1367-2630/14/12/123011. S2CID 119212756..
A quantum computer is a computer that exploits quantum mechanical phenomena. At small scales, physical matter exhibits properties of both particles and waves, and quantum computing leverages this behavior using specialized hardware. Classical physics cannot explain the operation of these quantum devices, and a scalable quantum computer could perform some calculations exponentially faster than any modern "classical" computer. In particular, a large-scale quantum computer could break widely used encryption schemes and aid physicists in performing physical simulations; however, the current state of the art is largely experimental and impractical, with several obstacles to useful applications.
This is a timeline of quantum computing.
Quantum error correction (QEC) is used in quantum computing to protect quantum information from errors due to decoherence and other quantum noise. Quantum error correction is theorised as essential to achieve fault tolerant quantum computing that can reduce the effects of noise on stored quantum information, faulty quantum gates, faulty quantum preparation, and faulty measurements. This would allow algorithms of greater circuit depth.
Pieter Kok is a Dutch physicist and one of the co-developers of quantum interferometric optical lithography.
Superconducting quantum computing is a branch of solid state quantum computing that implements superconducting electronic circuits using superconducting qubits as artificial atoms, or quantum dots. For superconducting qubits, the two logic states are the ground state and the excited state, denoted respectively. Research in superconducting quantum computing is conducted by companies such as Google, IBM, IMEC, BBN Technologies, Rigetti, and Intel. Many recently developed QPUs utilize superconducting architecture.
A trapped ion quantum computer is one proposed approach to a large-scale quantum computer. Ions, or charged atomic particles, can be confined and suspended in free space using electromagnetic fields. Qubits are stored in stable electronic states of each ion, and quantum information can be transferred through the collective quantized motion of the ions in a shared trap. Lasers are applied to induce coupling between the qubit states or coupling between the internal qubit states and the external motional states.
Quantum programming is the process of designing or assembling sequences of instructions, called quantum circuits, using gates, switches, and operators to manipulate a quantum system for a desired outcome or results of a given experiment. Quantum circuit algorithms can be implemented on integrated circuits, conducted with instrumentation, or written in a programming language for use with a quantum computer or a quantum processor.
Quantum networks form an important element of quantum computing and quantum communication systems. Quantum networks facilitate the transmission of information in the form of quantum bits, also called qubits, between physically separated quantum processors. A quantum processor is a small quantum computer being able to perform quantum logic gates on a certain number of qubits. Quantum networks work in a similar way to classical networks. The main difference is that quantum networking, like quantum computing, is better at solving certain problems, such as modeling quantum systems.
Jonathan P. Dowling was an Irish-American researcher and professor in theoretical physics, known for his work on quantum technology, particularly for exploiting quantum entanglement for applications to quantum metrology, quantum sensing, and quantum imaging.
Christopher Roy Monroe is an American physicist and engineer in the areas of atomic, molecular, and optical physics and quantum information science, especially quantum computing. He directs one of the leading research and development efforts in ion trap quantum computing. Monroe is the Gilhuly Family Presidential Distinguished Professor of Electrical and Computer Engineering and Physics at Duke University and is College Park Professor of Physics at the University of Maryland and Fellow of the Joint Quantum Institute and Joint Center for Quantum Computer Science. He is also co-founder and Chief Scientist at IonQ, Inc.
Linear optical quantum computing or linear optics quantum computation (LOQC) is a paradigm of quantum computation, allowing universal quantum computation. LOQC uses photons as information carriers, mainly uses linear optical elements, or optical instruments to process quantum information, and uses photon detectors and quantum memories to detect and store quantum information.
David P. DiVincenzo is an American theoretical physicist. He is the director of the Institute of Theoretical Nanoelectronics at the Peter Grünberg Institute at the Forschungszentrum Jülich and Professor at the Institute for Quantum Information at RWTH Aachen University. With Daniel Loss, he proposed the Loss–DiVincenzo quantum computer in 1997, which would use electron spins in quantum dots as qubits.
The IBM Quantum Composer and the IBM Quantum Lab form an online platform allowing public and premium access to cloud-based quantum computing services provided by IBM Quantum. This includes access to a set of IBM's prototype quantum processors, a set of tutorials on quantum computation, and access to an interactive textbook. As of February 2021, there are over 20 devices on the service, six of which are freely available for the public. This service can be used to run algorithms and experiments, and explore tutorials and simulations around what might be possible with quantum computing.
Cloud-based quantum computing is the invocation of quantum emulators, simulators or processors through the cloud. Increasingly, cloud services are being looked on as the method for providing access to quantum processing. Quantum computers achieve their massive computing power by initiating quantum physics into processing power and when users are allowed access to these quantum-powered computers through the internet it is known as quantum computing within the cloud.
In quantum computing, quantum supremacy, quantum primacy or quantum advantage is the goal of demonstrating that a programmable quantum device can solve a problem that no classical computer can solve in any feasible amount of time. Conceptually, quantum supremacy involves both the engineering task of building a powerful quantum computer and the computational-complexity-theoretic task of finding a problem that can be solved by that quantum computer and has a superpolynomial speedup over the best known or possible classical algorithm for that task. The term was coined by John Preskill in 2012, but the concept of a qualitative quantum computational advantage, specifically for simulating quantum systems, dates back to Yuri Manin's (1980) and Richard Feynman's (1981) proposals of quantum computing. Examples of proposals to demonstrate quantum supremacy include the boson sampling proposal of Aaronson and Arkhipov, D-Wave's specialized frustrated cluster loop problems, and sampling the output of random quantum circuits.
In quantum computing, a qubit is a unit of information analogous to a bit in classical computing, but it is affected by quantum mechanical properties such as superposition and entanglement which allow qubits to be in some ways more powerful than classical bits for some tasks. Qubits are used in quantum circuits and quantum algorithms composed of quantum logic gates to solve computational problems, where they are used for input/output and intermediate computations.
The five-qubit error correcting code is the smallest quantum error correcting code that can protect a logical qubit from any arbitrary single qubit error. In this code, 5 physical qubits are used to encode the logical qubit. With and being Pauli matrices and the Identity matrix, this code's generators are . Its logical operators are and . Once the logical qubit is encoded, errors on the physical qubits can be detected via stabilizer measurements. A lookup table that maps the results of the stabilizer measurements to the types and locations of the errors gives the control system of the quantum computer enough information to correct errors.
This glossary of quantum computing is a list of definitions of terms and concepts used in quantum computing, its sub-disciplines, and related fields.