As the demand for digital services grows, so does the need for data centres and transmission networks. Unfortunately, these data systems consume vast amounts of energy, resulting in nearly 1% of all energy-related greenhouse gas emissions. This project aims to invent novel quantum devices for highly energy-efficient computing that may help reduce the global digital carbon footprint. Tellurium (Te)-based devices will be gated through antiferroelectric (AFE) stacks to form a multi-valued-logic quantum device. A tapered Te region will be used as the active material of the developed transistors. This proposed architecture can rely on quantum tunnelling effects to minimize energy consumption per transition while circumventing the limitations of the classical field-effect transistors. The AFE layer can transform binary logic switches into ternary logic devices, allowing fewer transistors to perform the same function and reduce overall power consumption. The researchers will first develop, calibrate, and validate an AFE model and use the model to investigate the characteristics of AFE capacitors. The electronic states and materials parameters of Te will also be explored. Next, a new simulation tool will be developed to study the physics related to the proposed devices and the optimal device structure will be proposed for a prototype. The modelling results will be further validated and calibrated against experiments, allowing the device to be updated iteratively for further optimization. The quantum simulation tool and prototype ternary devices will not only help build ultra-low-power electronics for sustainable computing but will also elevate our knowledge in material science, quantum physics, and electronics.
Figure 1. (a) Tellurium crystal structure with unique helical chains for the active channel material of the device. (b) A double hysteresis loop in the polarization vs. electric field characteristic of antiferroelectric thin film for multi-valued-logic operation.
Related Content
Fabrication of Ultra Low Noise RF SQUID Amplifiers
A superconducting quantum interference device (SQUID) is an extremely sensitive magnetic field detector.
June 1, 2017

Tuning Spin-Exchange Interactions in Low-Dimensional Metal Halide Perovskites: A New Class of Semiconductor Quantum Materials
Summary Leakage current in electronic components is one of the limiting factors for the performance of conventional computers which use charges and currents as physical information carriers. Spintronics offers an alternative by using electron spin for information transfer, processing and storage, enabling the design of non-volatile computer memory and more energy-efficient electronic devices. In this […]
October 1, 2019

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 […]
January 22, 2020

Magnetoelectric Coupling in New Composite Multiferroic Nanostructures as High-Density Quantum Multistate Memory Elements
Summary Magnetoelectric multiferroics are materials that exhibit correlated ferroelectric and ferromagnetic properties (i.e., a magnetoelectric effect). The resulting ability of these materials to simultaneously store data in electric polarization and magnetic moment could increase data storage density and data processing speed while reducing energy consumption. This project aims to design and fabricate new composite multiferroic […]
February 1, 2023