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.
Spin-transfer Torque Magnetic Random Access Memory for On-chip Spin Information Storage
Summary Leakage power in semiconductor memories, such as Dynamic Random Access Memory (DRAM) and Static Random Access Memory (SRAM), can be substantial and is one of the limits for scalability of classical electronics. This is attributed to the fact that the information stored is volatile, requiring constant refreshing, as well as reprogramming upon powering […]
August 6, 2018
Carbon Nanotube Monolayer Josephson Junction Superconducting Qubit
Carbon nanotubes (CNTs) are a promising material for use in Josephson-Junctions (JJs) given their unique properties, such as high electrical conductivity, pristine surface, inherent nanoscale dimension, and silicon-compatible processing
June 1, 2017
Qubits and Quantum Effects in Biology
It is unknown whether biological processes make direct use of quantum effects, as opposed to depending merely on the influence of quantum physics on chemical bonding and molecular structure.
June 1, 2017
Implementing High-fidelity Quantum Gates in Multi-level Trapped Ions
Summary The scalability of quantum processors is limited by current error rates for single-qubit gates. By encoding more than a single bit of information within a single ion, multi-level “qudits” offer a promising method of increasing the information density within a quantum processor, and therefore minimizing the number of gates and associated error rates. […]
July 30, 2018