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  • Institute for Quantum Computing

    Composite Superconductors for Improved Quantum Coherence

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    computation ESR grand challenge materials nitrides oxides resonator superconductor

    Summary

     

    Conventional superconductors have trouble performing well in magnetic fields required for electron spin resonance (ESR) – based quantum information processing applications. We can, however, use proximity engineering to select desired properties from different materials and combine them for improved superconducting performance in magnetic fields — an improvement that would have strong implications for the storage and transfer of quantum information in superconductor quantum circuits. In this project, we will construct composite heterostructures with nitrides, oxides and hybrid materials involving high-temperature superconducting oxides and “conventional” transition metals/nitrides. Later, we will use these new composite superconductors to demonstrate improved resonator performance and optimize growth and fabrication recipes towards large-scale quantum circuits. By optimizing the composite heterostructure, and through later integration in a superconducting quantum circuit, we hope to enable larger-scale, more efficient quantum computers.

    Figure 1. Example of a nitride heterostructure with tapered interfaces for improved superconductivity proximity coupling. Images shown are STEM and EELS elemental mapping.

    Principal Investigator (PI) or Team Coordinator

    Guo-Xing Miao

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    Reliably operating noisy quantum computers
    TQT Computation

    Reliably operating noisy quantum computers

    Summary The overall goal of the project is to develop practical methods to be able to reliably run useful applications on near-term quantum computers. This requires identifying and overcoming the ubiquitous errors that currently limit quantum computing capabilities. Traditional methods of quantifying errors in quantum computers fail to predict how errors affect the output of […]

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    PI: Joel Wallman

    Skip Tags accuracy applied mathematics + 8 Additional

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    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

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    Topological Properties of Exciton-Polaritons in a Kagome Lattice as a Solid-state Quantum Simulator
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    Topological Properties of Exciton-Polaritons in a Kagome Lattice as a Solid-state Quantum Simulator

    Summary   In this project, we build a solid-state quantum simulator for engineering a specific Hamiltonian. Quantum simulators are purpose-built devices with little to no need for error correction, thereby making this type of hardware less demanding than universal quantum computers. Our platform consists of exciton-polariton condensates in multiple quantum-wells sandwiched in a semiconductor Bragg […]

    December 8, 2018

    PI: Na Young Kim

    Skip Tags computation grand challenge + 7 Additional

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    • Go to Topological Properties of Exciton-Polaritons in a Kagome Lattice as a Solid-state Quantum Simulator
    Two-Dimensional Quantum Materials and Heterostructures
    TQT Computation

    Two-Dimensional Quantum Materials and Heterostructures

    Two-dimensional (2D) layers just one atom thick can be stripped from certain materials, such as graphene.

    June 1, 2017

    PI: Adam Wei Tsen

    Skip Tags 2d chemistry + 5 Additional

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