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

Extensible Technology for a Medium-Scale Superconducting Quantum Processor
Summary Superconducting quantum bits, or qubits, use circuits made from superconducting materials to harness quantum mechanical states. These devices contain many atoms, but can behave as simple, controllable qubits. We are building technologies for the control and measurement of superconducting qubits to enable the first demonstration of an extensible, medium-scale quantum processor. Our approach […]
November 28, 2016

Molecular Scale Magnetic Resonance Imaging
Through its phenomenal ability to image soft tissues, magnetic resonance imaging (MRI) has revolutionized both clinical medicine and research biomedicine.
September 9, 2016

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

Identifying the Potential of Quantum Dots to Detect and Disrupt Tau Protein Aggregation in Alzheimer’s Disease
Specific tests for Alzheimer’s disease (AD) diagnosis are currently unavailable, despite AD being the leading cause of dementia. One hallmark of AD progression is the aggregation of tau proteins into paired helical filaments and neurofibrillary tangles, which is accelerated by the hyperphosphorylation of Tau proteins. However, the mechanism by which the hyperphosphorylated tau accelerates protein […]
March 27, 2023