Tags: quantum computing

Description

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. Sai Sidhartha Hasti

    https://nanohub.org/members/386208

  2. Conor Power

    https://nanohub.org/members/361528

  3. Suraj R Gupta

    https://nanohub.org/members/342353

  4. Nathaniel Curran

    https://nanohub.org/members/339989

  5. adnan zahid

    I was born and raised in the heart of Islamabad and grew up a very outgoing and active child. Always staying proactive, I ventured into a lot of different activities to show my talent. I have...

    https://nanohub.org/members/335069

  6. Classical Computing with Topological States: Coping with a post-Moore World

    21 Jun 2021 | | Contributor(s):: Avik Ghosh

    There are two examples I will focus on ? one is doing conventional Boolean logic at low power below the thermal Boltzmann limit, using the topological properties of Dirac fermions to control transmission across a gated interface. The other is doing collective computing using temporal state...

  7. Marco Di Gennaro

    https://nanohub.org/members/328987

  8. Braulio Misael Villegas Martinez

    https://nanohub.org/members/321505

  9. Quantum Computer, Quantum Parallelism, and Quantum Electromagnetics

    18 Jan 2021 | | Contributor(s):: Weng Cho Chew

  10. 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

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

    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.

  12. 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

  13. zhu shengkai

    https://nanohub.org/members/310252

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

    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...

  15. 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

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

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

    50th European Solid-State Device Research Conference

  17. James Curtis Belt

    https://nanohub.org/members/303291

  18. Onri Jay Benally

    IBM Certified Quantum Hardware Researcher in the Nano Magnetism & Quantum Spintronics Lab with +8 years of field experience. In charge of communication and development of devices, quantum chips,...

    https://nanohub.org/members/300251

  19. Malgorzata Makowska-Janusik

    https://nanohub.org/members/299953

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

    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.