Discovery Early Career Researcher Award - Grant ID: DE220101548
Funder
Australian Research Council
Funding Amount
$415,000.00
Summary
Calming the Superfluid Storm: Taming Turbulence in Superfluid Devices. Turbulence, the chaotic flow of fluids, occurs in the vast majority of fluid flows in nature. This project aims to develop a new understanding of turbulence in superfluids, a class of quantum fluids which can flow without friction. The significance is that aspects of turbulence are universal, so that discoveries in superfluid turbulence will provide fundamental insights into all forms of turbulence. The expected outcomes are ....Calming the Superfluid Storm: Taming Turbulence in Superfluid Devices. Turbulence, the chaotic flow of fluids, occurs in the vast majority of fluid flows in nature. This project aims to develop a new understanding of turbulence in superfluids, a class of quantum fluids which can flow without friction. The significance is that aspects of turbulence are universal, so that discoveries in superfluid turbulence will provide fundamental insights into all forms of turbulence. The expected outcomes are solutions to two outstanding questions – what are the universal laws of turbulent flow for superfluids, and what new forms of quantum vortex matter are possible? New insights into turbulence will benefit all applications which rely on its understanding, for example in medicine, aviation, and climate modelling.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190101174
Funder
Australian Research Council
Funding Amount
$395,000.00
Summary
Building a mechanical quantum memory from superfluid helium. This project aims to implement a quantum computer memory module which can be integrated in a future hybrid quantum computer, where the advantages of different quantum platforms are combined. The memory module will be achieved by coupling a superconducting qubit to the surface vibrations of superfluid helium and exchanging quantum information between the qubit and helium. By simulating chemical reactions, the project expects to find cle ....Building a mechanical quantum memory from superfluid helium. This project aims to implement a quantum computer memory module which can be integrated in a future hybrid quantum computer, where the advantages of different quantum platforms are combined. The memory module will be achieved by coupling a superconducting qubit to the surface vibrations of superfluid helium and exchanging quantum information between the qubit and helium. By simulating chemical reactions, the project expects to find cleaner alternatives of current industrial processes, reducing environmental impact. The outcomes should provide significant benefits for testing the validity of quantum mechanics, and by contributing to the realisation of a quantum computer, contribute to broad socio-economic benefits.Read moreRead less
Advanced Quantum Sensors for Next-Generation Sensing Applications. The aim of this theoretical physics project is to develop ultra-precise sensing capabilities for two main applications: ultrastable inertial sensors for improved navigation and gravimetry, and to search for signatures of quantum gravity. This project expects to improve the performance of quantum sensors via the use of machine optimisation, and may lead to much-needed experimental data to help guide one of the most challenging pro ....Advanced Quantum Sensors for Next-Generation Sensing Applications. The aim of this theoretical physics project is to develop ultra-precise sensing capabilities for two main applications: ultrastable inertial sensors for improved navigation and gravimetry, and to search for signatures of quantum gravity. This project expects to improve the performance of quantum sensors via the use of machine optimisation, and may lead to much-needed experimental data to help guide one of the most challenging problems in theoretical physics: the quantisation of gravity. The expected outcomes of this project are enhanced quantum sensor design, leading to improved inertial sensing technology. This should provide benefits such as improved capabilities for minerals exploration and monitoring the movement of ground water.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL210100045
Funder
Australian Research Council
Funding Amount
$3,245,263.00
Summary
Energy-efficient artificial intelligence using quantum technologies. Artificial intelligence (AI) is transforming society but standard technologies come with significant hidden costs: training even a single, common, learning model can emit 5 times more carbon dioxide than the lifetime emissions of the average car. This Fellowship aims to develop artificial intelligence platforms using Australia’s significant investment in quantum technologies to bypass traditional approaches to AI. The expected ....Energy-efficient artificial intelligence using quantum technologies. Artificial intelligence (AI) is transforming society but standard technologies come with significant hidden costs: training even a single, common, learning model can emit 5 times more carbon dioxide than the lifetime emissions of the average car. This Fellowship aims to develop artificial intelligence platforms using Australia’s significant investment in quantum technologies to bypass traditional approaches to AI. The expected outcomes are neuromorphic computers that operate efficiently—with low-energy cost—and rapidly—achieving speeds impossible with conventional electronic approaches. The anticipated benefits are transformative technologies for AI, new applications across society, and new tools for exploring brain function and cognition.Read moreRead less