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.

Resources (1-20 of 65)

  1. Introduction to the SCALE RF/OE Technical Vertical

    Online Presentations | 29 Oct 2024 | Contributor(s):: Jacob C. Stephens, Hieu P. Nguyen, Taewoo Kim

  2. W52 - Security of Quantum Computer Architectures and Hardware

    Online Presentations | 20 Sep 2024 | Contributor(s):: Jakub S.

    The focus of the seminar will be on superconducting qubit quantum computers, however, the security ideas can be applied to other types of quantum computers....

  3. Extreme Space-Time Optics & Quantum Meta-Photonics 



    Online Presentations | 16 Feb 2024 | Contributor(s):: Vladimir M. Shalaev

    We first discuss all-optical modulation with single photons using electron avalanche, resulting in record-high nonlinearities. Then we show that transparent conducting oxides (TCOs) operating in the near-zero index (NZI) regime can provide strong single-cycle modulation, thus enabling novel...

  4. Discrete Nonlinear Optimization: Modeling and Solutions via Novel Hardware and Decomposition Algorithms

    Online Presentations | 07 Feb 2024 | Contributor(s):: David E. Bernal Neira

    Optimization problems arise in different areas of Logistics, Manufacturing, Process Systems Engineering (PSE), and Energy Systems Engineering, and solving these problems efficiently is essential for addressing important industrial applications.Quantum computers have the potential to efficiently...

  5. Quantum Computation Route to Magnetic Phase Discovery

    Online Presentations | 19 Jan 2024 | Contributor(s):: Arnab Banerjee

  6. Qiskit

    Presentation Materials | 11 Dec 2023 | Contributor(s):: Manas Sajjan

  7. Quantum Simulation with Superconducting Circuits

    Online Presentations | 29 Nov 2023 | Contributor(s):: Alex Ruichao Ma

  8. From Qiskit Metal to Direct-Write Lithography

    Downloads | 03 Jul 2023 | Contributor(s):: Onri Jay Benally

    This tutorial covers the use of Qiskit Metal tools in Python to generate design layouts of quantum devices, proceeded by direct-write lithography exposure. The example provided below was performed on electron-beam lithography equipment (EBPG series) from Raith Nanofabrication to demonstrate...

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

    Online Presentations | 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...

  10. Quantum Computer, Quantum Parallelism, and Quantum Electromagnetics

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

  11. 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.

  12. 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...

  13. 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

  14. 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.

  15. 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...

  16. 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.

  17. 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.

  18. Entanglement, Inc - revolutionizing computation | transforming ai

    Online Presentations | 06 Nov 2019 | Contributor(s):: Jason Turner

  19. Universal Variational Quantum Computation

    Online Presentations | 28 Oct 2019 | Contributor(s):: Jacob Biamonte

    We show that the variational approach to quantum enhanced algorithms admits a universal model of quantum computation.

  20. Machine Learning for Quantum Control

    Online Presentations | 28 Oct 2019 | Contributor(s):: Barry Sanders

    We develop a framework that connects reinforcement learning with classical and quantum control, and this framework yields adaptive quantum-control policies that beat the standard quantum limit, inspires new methods for improving quantum-gate design for quantum computing, and suggest new ways to...