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First proposed in the 1970s, quantum computing relies on quantum physics by taking advantage of certain quantum physics properties of atoms or nuclei that allow them to work together as quantum bits, or qubits, to be the computer's processor and memory. By interacting with each other while being isolated from the external environment, qubits can perform certain calculations exponentially faster than conventional computers.

Learn more about quantum dots from the many resources on this site, listed below. More information on Quantum computing can be found here.

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  1. Peter J. Love

    Peter J. Love is an assistant professor of physics and astronomy at Tufts University.His areas of expertise are:Quantum Information, Quantum Simulation, Adiabatic Quantum Computation, and...

    https://nanohub.org/members/312789

  2. Quantum Mathematics: Counting, Computing, and Reasoning with Quantum Numbers

    Online Presentations | 18 Dec 2020 | Contributor(s):: Zhenghan Wang

    In this talk I will explain the basics of wave functions, quantum computing, and speculate on implications for future mathematics.

  3. Zhenghan Wang

    I was born in Tsingtao, China and received my Ph.D in mathematics from UCSD in 1993. I was an assistant Professor of Mathematics at University of Michigan from 1993–1996 and Professors of...

    https://nanohub.org/members/310668

  4. zhu shengkai

    https://nanohub.org/members/310252

  5. Designing a NISQ Reservoir with Maximal Memory Capacity for Volatility Forecasting

    Online Presentations | 28 Oct 2020 | Contributor(s):: Samudra Dasgupta

    In this talk, we lay out the systematic design considerations for using a NISQ reservoir as a computing engine. We then show how to experimentally evaluate the memory capacity of various reservoir topologies  (using IBM-Q’s Rochester device) to identify the configuration with maximum...

  6. Samudra Dasgupta

    Samudra Dasgupta obtained his B.Tech in Electronics and Electrical Engineering from IIT-Kharagpur 2006, followed by M.S. in Engineering and Applied Sciences from Harvard 2008 and an M.B.A. from...

    https://nanohub.org/members/305162

  7. A Single Atom Transistor: The Ultimate Scaling Limit – Entry into Quantum Computing

    Online Presentations | 14 Oct 2020 | Contributor(s):: Gerhard Klimeck

    50th European Solid-State Device Research Conference

  8. James Curtis Belt

    https://nanohub.org/members/303291

  9. Onri Jay Benally

    Leader of a quantum hardware team, quantum hardware engineer, IBM quantum administrator/ developer, carpenter from the countryside in northern Arizona.

    https://nanohub.org/members/300251

  10. Malgorzata Makowska-Janusik

    https://nanohub.org/members/299953

  11. Probabilistic Computing: From Materials and Devices to Circuits and Systems

    Online Presentations | 07 Sep 2020 | Contributor(s):: Kerem Yunus Camsari

    In this talk, I will describe one such path based on the concept of probabilistic or p-bits that can be scalably built with present-day technology used in magnetic memory devices.

  12. Dennis Michael Andrade-Miceli

    https://nanohub.org/members/293259

  13. Physics and Computation (with Nuclear Spins)

    Online Presentations | 21 May 2020 | Contributor(s):: Gerardo Ortiz

    There is a deep connection between Physics and Computation. Indeed, any computation can be represented as a physical process. In 1981 Richard Feynman raised some provocative questions in connection to the simulation of physical phenomena using a special device called a "Quantum...

  14. Cody Alexander Trevillian

    https://nanohub.org/members/288235

  15. PennyLane - Automatic Differentiation and Machine Learning of Quantum Computations

    Online Presentations | 29 Apr 2020 | Contributor(s):: Nathan Killoran

    PennyLane is a Python-based software framework for optimization and machine learning of quantum and hybrid quantum-classical computations.

  16. Nathan Killoran

    Nathan holds a MSc in Mathematics from the University of Toronto and a PhD in Physics from the University of Waterloo. He specializes in quantum computing, deep learning, and quantum optics.

    https://nanohub.org/members/286348

  17. Rohit Goswami

    https://nanohub.org/members/282063

  18. Raphael C. Pooser

    Dr. Pooser is an expert in continuous variable quantum optics. He leads the quantum sensing team within the quantum information science group. His research interests include quantum computing,...

    https://nanohub.org/members/275623

  19. The Algebra of Topological Quantum Computing

    Online Presentations | 05 Dec 2019 | Contributor(s):: Qing Zhang

    In this talk, I will discuss some recent results in the theory of tensor categories, motivated by this connection with topological quantum computation.

  20. Jason Turner

    https://nanohub.org/members/270698