TQT Transformative Quantum Technologies logo
Login
  • En
  • Fr
Get Connected
TQT Transformative Quantum Technologies logo
Login
Get Connected

"Find People, Projects, etc."

Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
job
publications
equipment
media
research
projects
people
events
labs
Filter by Categories
Committee
Leadership
Science
Staff
  • Home
  • Research
  • Opportunities
  • Events
  • About
  • Get Connected
  • Institute for Quantum Computing

    Building Blocks for Quantum Neuromorphic Computing: Superconducting Quantum Memcapacitors

    Go Back Back

    More Topics

    computation entanglement quantum neuromorphic computing superconductor

    Quantum neuromorphic computing (QNC) is a novel method that combines quantum computing with brain-inspired neuromorphic computing. Neuromorphic computing performs computations using a complex ensemble of artificial neurons and synapses (i.e., electrical circuits) to emulate the human brain. QNC may lead to a quantum advantage by realizing these components with quantum memory elements, or memelements, which can store and process quantum information within the same device. This research aims to achieve experimental realization of superconducting quantum memelements, which has never been done before. A quantum memcapacitor will be fabricated by depositing and patterning thin aluminum films, and then cooling to cryogenic temperatures to unveil quantum-mechanical properties in highly nonlinear regimes. The success of the device will be demonstrated by measuring a characteristic Lissajous curve with a pinched hysteresis, which is a hallmark of a memelement. A variety of memcapacitor regimes will then be investigated, including two-photon memcapacitive processes, loss and temperature effects. Finally, entanglement between two quantum memcapacitors will be shown theoretically and experimentally, paving the way toward an actual QNC. QNC will lead to new knowledge on quantum technologies by helping develop improved fabrication and quantum machine learning techniques inspired by the brain. Further, investigating the quantum mechanical properties of quantum memelements acting as artificial neurons in dissipative environments may provide further insight into the working principles of the human brain.

     

    Figure 1. Optical images of a typical superconducting quantum device similar to the one investigated in this project.

     

    Principal Investigator (PI) or Team Coordinator

    Matteo Mariantoni

    sidebar icon sidebar icon
    Group computation icon

    Share

    • Share on Twitter
    • Share on Facebook
    • Share on LinkedIn

    Related Content

    Harnessing the Promise of Quantum Materials for Future Electronic Devices

    Harnessing the Promise of Quantum Materials for Future Electronic Devices

    Summary   Two-dimensional (2D) quantum materials, such as graphene and molybdenum disulfide, have great potential for use in future flexible and wearable electronics applications. With traditional silicon-based electronics nearing their theoretical performance limits, nano-electronics made from 2D quantum materials offer breakthrough opportunities for energy-efficient, wearable ubiquitous computation. In this project, we will study integration of […]

    June 14, 2018

    PI: Young Ki Yoon

    Skip Tags 2d electrical & computer engineering + 2 Additional

    • Share on Twitter
    • Share on Facebook
    • Share on LinkedIn
    • Go to Harnessing the Promise of Quantum Materials for Future Electronic Devices
    Engineering and Characterizing Programmable Interaction Graphs in a Trapped Ion Quantum Simulator
    TQT Computation

    Engineering and Characterizing Programmable Interaction Graphs in a Trapped Ion Quantum Simulator

    Summary   Quantum simulators have the potential to bring unprecedented capabilities in areas such as the discovery of new materials and drugs. Engineering precise and programmable interaction graphs between qubits or spins forms the backbone of simulator applications. The trapped ion system is unique in that the interaction graph between qubits can be programmed, in […]

    July 24, 2018

    PI: Kazi Rajibul Islam

    Skip Tags algorithms characterization + 6 Additional

    • Share on Twitter
    • Share on Facebook
    • Share on LinkedIn
    • Go to Engineering and Characterizing Programmable Interaction Graphs in a Trapped Ion Quantum Simulator
    Repurposing potential drug candidates for the treatment of COVID-19

    Repurposing potential drug candidates for the treatment of COVID-19

    Summary The main protease (Mpro) in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus responsible for the coronavirus disease (COVID-19), has emerged as a promising drug target. The scientific community has produced a large number of crystallographic structures of the protease, which mediates viral replication and transcription. These structures report several fragments with varied chemotypes […]

    May 6, 2020

    PI: Subha Kalyaanamoorthy

    Skip Tags biology chemistry + 11 Additional

    • Share on Twitter
    • Share on Facebook
    • Share on LinkedIn
    • Go to Repurposing potential drug candidates for the treatment of COVID-19
    Zero-Dimensional Quantum Materials for the Next Generation of Highly-Selective Chemical Sensors

    Zero-Dimensional Quantum Materials for the Next Generation of Highly-Selective Chemical Sensors

    Summary   Heavy metals are a major public health concern and their on-site detection in water supplies is not well served by existing lab techniques. We develop a new multi-modal platform comprising functionalized quantum dots of two-dimensional materials (2D-QDs) for the sensing of four highly-toxic heavy metal pollutants (arsenic, cadmium, lead and mercury). The zero-dimensional […]

    March 11, 2019

    PI: Kevin Musselman

    Skip Tags 0d 2d + 9 Additional

    • Share on Twitter
    • Share on Facebook
    • Share on LinkedIn
    • Go to Zero-Dimensional Quantum Materials for the Next Generation of Highly-Selective Chemical Sensors

    Connect with Us

    Join us at the frontier of quantum technology development. Request a visit, explore opportunities, and stay informed.

    Get Connected
    TQT Logo
    First Canada Logo
    • twitter icon
    • facebook icon
    • youtube icon
    • Home
    • Research
    • Opportunities
    • Events
    • About
    • Get Connected
    • Institute for Quantum Computing
    TQT Logo
    • Home
    • Research
    • Opportunities
    • Events
    • About
    • Get Connected
    • Institute for Quantum Computing
    • twitter icon
    • facebook icon
    • youtube icon
    First Canada Logo
    TQT Logo
    • twitter icon
    • facebook icon
    • youtube icon
    • Research
    • Overview
    • Updates
    • Projects
    • Publications
    • Labs
    • Quantum Innovation Cycle
    • Opportunities
    • Overview
    • Quantum for Health Design Challenge
    • Quantum for Environment Design Challenge
    • Quantum Seed
    • Technology Development
    • Open Positions
    • Events
    • All Events
    • About
    • Overview
    • People
    • Media
    • Contact
    First Canada Logo