Free parafermions: a challenge for non-Hermitian physics. This project aims to calculate and understand the physical properties of free parafermions. Parafermions have attracted interest in topological schemes for quantum computation because they are computationally more powerful than Majorana fermions. The core of this project is a fundamental model of free parafermions, which has been shown to exhibit unexplained puzzling properties. The project outcomes include an in-depth understanding of th ....Free parafermions: a challenge for non-Hermitian physics. This project aims to calculate and understand the physical properties of free parafermions. Parafermions have attracted interest in topological schemes for quantum computation because they are computationally more powerful than Majorana fermions. The core of this project is a fundamental model of free parafermions, which has been shown to exhibit unexplained puzzling properties. The project outcomes include an in-depth understanding of this model by taking the non-Hermitian features into account, establishing a connection with open quantum systems. Non-Hermitian systems are also of increasing relevance in physics, especially in quantum optics. The project also aims to contribute to training researchers in the mathematical sciences.
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Topological insulators and free fermions: from Hermitian to non-Hermitian. This project aims to develop and fully understand a class of mathematical models describing fundamental interacting systems of particles of central importance in the physics of topological insulators. This will include the extension of exact solutions to more complicated models and the development and application of topological data analysis for detecting topological phase transitions in these and more general materials. ....Topological insulators and free fermions: from Hermitian to non-Hermitian. This project aims to develop and fully understand a class of mathematical models describing fundamental interacting systems of particles of central importance in the physics of topological insulators. This will include the extension of exact solutions to more complicated models and the development and application of topological data analysis for detecting topological phase transitions in these and more general materials. The project will also apply diagrammatic methods to address a long-standing challenge in solving a particular model. The project aims to contribute to training researchers in an area of the mathematical sciences of benefit to the future development of new concepts for next-generation electronic devices and smart materials.Read moreRead less
Unravelling the neutron lifetime puzzle with lattice quantum chromodynamics. This project will perform supercomputer simulations to confront one of the outstanding puzzles of nuclear and particle physics, the neutron lifetime. New knowledge will be generated through the development of novel theoretical and numerical techniques to increase the precision of the leading theoretical inputs required to predict the neutron lifetime. The outcomes will provide crucial theoretical guidance into understan ....Unravelling the neutron lifetime puzzle with lattice quantum chromodynamics. This project will perform supercomputer simulations to confront one of the outstanding puzzles of nuclear and particle physics, the neutron lifetime. New knowledge will be generated through the development of novel theoretical and numerical techniques to increase the precision of the leading theoretical inputs required to predict the neutron lifetime. The outcomes will provide crucial theoretical guidance into understanding the neutron; helping to guide the next-generation neutron experiments, from particle physics to applications in advanced materials science. The results will have immediate benefit by resolving the neutron lifetime puzzle, while enabling Australian scientists to take a leadership role in this area of fundamental science.Read moreRead less
Uncertainty, Risk and Related Concepts in Machine Learning. Machine learning is the science of making sense of data. It does not and cannot remove all risk and uncertainty. This project proposes to study the foundations of how machine learning uses, represents and communicates risk and uncertainty. It aims to do so by finding new theoretical connections between diverse notions that have arisen in allied disciplines. These include risk, uncertainty, scoring rules and loss functions, divergences, ....Uncertainty, Risk and Related Concepts in Machine Learning. Machine learning is the science of making sense of data. It does not and cannot remove all risk and uncertainty. This project proposes to study the foundations of how machine learning uses, represents and communicates risk and uncertainty. It aims to do so by finding new theoretical connections between diverse notions that have arisen in allied disciplines. These include risk, uncertainty, scoring rules and loss functions, divergences, statistics and different ways of aggregating information. By building a more complete theoretical map it is expected that new machine learning methods will be developed, but more importantly that machine learning will be able to be better integrated into larger socio-technical systems.Read moreRead less
Atomic sensors for dark matter, rotation and magnetic fields. This project aims to develop ultra-high-performance sensors. The research will explore new methods for using the magnetic and optical properties of atomic gases to enable multi-parameter sensing without crosstalk between measurements. It is expected that techniques will be developed to allow simultaneous sensing of rotation and magnetic fields using devices that are compact, ultra-precise and energy efficient. It is also anticipated t ....Atomic sensors for dark matter, rotation and magnetic fields. This project aims to develop ultra-high-performance sensors. The research will explore new methods for using the magnetic and optical properties of atomic gases to enable multi-parameter sensing without crosstalk between measurements. It is expected that techniques will be developed to allow simultaneous sensing of rotation and magnetic fields using devices that are compact, ultra-precise and energy efficient. It is also anticipated that these new atomic sensors will support a global network looking for dark matter, which although never seen, is thought to make up 85% of the mass of the universe. The outcomes are expected to benefit medical science, geo-exploration, high-tech manufacturing, navigation and our understanding of the universe.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100197
Funder
Australian Research Council
Funding Amount
$438,000.00
Summary
In one zeptosecond: quantifying energy dissipation in heavy element fusion. This project aims to understand the process of energy dissipation in superheavy element fusion reactions. Using state-of-the art facilities unique to Australia, the first detailed measurements of the crucial early stages of these reactions will be made. This is expected to generate significant fundamental knowledge on why some superheavy element fusion reactions succeed, and why others fail. The outcomes are expected to ....In one zeptosecond: quantifying energy dissipation in heavy element fusion. This project aims to understand the process of energy dissipation in superheavy element fusion reactions. Using state-of-the art facilities unique to Australia, the first detailed measurements of the crucial early stages of these reactions will be made. This is expected to generate significant fundamental knowledge on why some superheavy element fusion reactions succeed, and why others fail. The outcomes are expected to significantly advance the fundamental understanding of nuclear reactions, and provide key guidance to international opportunities to create new superheavy elements and isotopes. Expected benefits include improving cancer treatments, understanding element abundance in the universe and improved safety in nuclear technologies.Read moreRead less
Quantum tunnelling of composite systems. This project aims to investigate profound physics problem of quantum tunnelling of composite systems such as atoms, molecules and atomic nuclei. Using new theoretical concepts and tools to describe low-energy fusion between atomic nuclei, this project is expected to generate new knowledge and improve understanding of nuclear reactions, the formation of elements in the cosmos, and underpin future nuclear technologies. The project aims to leverage Australia ....Quantum tunnelling of composite systems. This project aims to investigate profound physics problem of quantum tunnelling of composite systems such as atoms, molecules and atomic nuclei. Using new theoretical concepts and tools to describe low-energy fusion between atomic nuclei, this project is expected to generate new knowledge and improve understanding of nuclear reactions, the formation of elements in the cosmos, and underpin future nuclear technologies. The project aims to leverage Australian capacity in quantum and nuclear theory to produce the first predictive model of quantum tunnelling with a modern microscopic treatment of nuclear dynamics. It will provide new theoretical guidance to experimental programs with exotic beams and focussing on nucleosynthesis.Read moreRead less
Positrons in biosystems. This project aims to improve our understanding of the damage processes in Positron Emission Tomography (PET). PET is a widely used medical imaging technique, but there are gaps in our understanding of the underlying interactions, in particular in the case of the radiation damage induced during the process. By using new models incorporating accurate descriptions of interactions processes, verified by experimental measurement, this project will develop a new model of posit ....Positrons in biosystems. This project aims to improve our understanding of the damage processes in Positron Emission Tomography (PET). PET is a widely used medical imaging technique, but there are gaps in our understanding of the underlying interactions, in particular in the case of the radiation damage induced during the process. By using new models incorporating accurate descriptions of interactions processes, verified by experimental measurement, this project will develop a new model of positron transport in PET. The project will allow validation of predictions from the model by undertaking experiments in liquid water.Read moreRead less