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
Quantum-Inspired Machine Learning. This project aims to develop new machine learning techniques based around the close correspondence between
neural networks used in deep learning, and tensor networks used in quantum physics. Tensor networks are a form of information compression that is useful in machine learning to construct a compact representation of a large data set in a way that is more amenable to understanding the internal structure than a deep neural network. Expected outcomes of this pr ....Quantum-Inspired Machine Learning. This project aims to develop new machine learning techniques based around the close correspondence between
neural networks used in deep learning, and tensor networks used in quantum physics. Tensor networks are a form of information compression that is useful in machine learning to construct a compact representation of a large data set in a way that is more amenable to understanding the internal structure than a deep neural network. Expected outcomes of this project include more resilient algorithms for machine learning, and new ways to represent quantum states that will impact fundamental physics. The resulting benefits include enhanced capacity for cross-discipline collaboration, and improved methods for future industrial applications.
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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
ARC Centre of Excellence for Engineered Quantum Systems. This Centre aims to build sophisticated quantum machines to harness the quantum world for the future health, economy, environment and security of Australian society. It intends to pioneer the designer quantum materials, engines and imaging systems at the heart of these machines. It also solves the most challenging research problems at the interface of basic quantum physics and engineering. The Centre will work with industry partners to tra ....ARC Centre of Excellence for Engineered Quantum Systems. This Centre aims to build sophisticated quantum machines to harness the quantum world for the future health, economy, environment and security of Australian society. It intends to pioneer the designer quantum materials, engines and imaging systems at the heart of these machines. It also solves the most challenging research problems at the interface of basic quantum physics and engineering. The Centre will work with industry partners to translate these research discoveries into practical applications and devices. It will train scientists in research, innovation, and entrepreneurship, which is expected to affect Australia’s high-tech economy.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
Foundations and applications of quantum causality. This project aims to investigate the nature of causality in the quantum world. With special-purpose quantum devices on the horizon, the need for novel quantum protocols is of urgent technological and economic significance. Using interdisciplinary methodologies, this project will explore the hypothesis that quantum advantage is associated to a fundamental need for fine-tuning in classical simulations of quintessentially quantum phenomena. Expecte ....Foundations and applications of quantum causality. This project aims to investigate the nature of causality in the quantum world. With special-purpose quantum devices on the horizon, the need for novel quantum protocols is of urgent technological and economic significance. Using interdisciplinary methodologies, this project will explore the hypothesis that quantum advantage is associated to a fundamental need for fine-tuning in classical simulations of quintessentially quantum phenomena. Expected outcomes include a resource theory of fine-tuning providing a physical picture to guide quantum technologies, new fundamental tests of nonclassicality, and significant theoretical and philosophical advances in our understanding of the nature of quantum reality and causality.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
Turbulent cascades in superfluid Flatland. This project aims to answer open questions in turbulence by stirring many tiny whirlpools (vortices) into a superfluid Bose-Einstein condensate. It seeks to determine how vortex dynamics redistribute energy across broad length scales in superfluids, how turbulence arises from instabilities, and how turbulence redistributes energy in multicomponent superfluids. The outcomes of this project will elucidate the links between quantum and classical fluids, an ....Turbulent cascades in superfluid Flatland. This project aims to answer open questions in turbulence by stirring many tiny whirlpools (vortices) into a superfluid Bose-Einstein condensate. It seeks to determine how vortex dynamics redistribute energy across broad length scales in superfluids, how turbulence arises from instabilities, and how turbulence redistributes energy in multicomponent superfluids. The outcomes of this project will elucidate the links between quantum and classical fluids, and provide unambiguous tests of theoretical models in real-world systems. These results will be beneficial to the understanding of the physics of quantum superfluids, and will inform the engineering of quantum-enhanced devices that utilise trapped superfluid media for precision sensing.Read moreRead less
Simulating complexity: ultrastrong interactions in superconducting circuits. This project aims to explore effects of strong interactions on phases of light and matter in complex quantum systems, by mimicking them with surrogates called quantum simulators. The project expects to open up new research directions by building a novel versatile simulator platform from nanoscale superconducting electronic circuits in which all elements are flexibly engineered and precisely controlled. Expected outcomes ....Simulating complexity: ultrastrong interactions in superconducting circuits. This project aims to explore effects of strong interactions on phases of light and matter in complex quantum systems, by mimicking them with surrogates called quantum simulators. The project expects to open up new research directions by building a novel versatile simulator platform from nanoscale superconducting electronic circuits in which all elements are flexibly engineered and precisely controlled. Expected outcomes from the project will include better understanding of complex materials and a certifiable scaling-up pathway towards simulation complexity, future hi-tech manufacturing; and enhanced research capacity in the new interdisciplinary field of quantum engineering. This should help to position Australia as a centre for hi-tech quantum industry leading to both social and economic benefits.Read moreRead less
ARC Centre of Excellence for Quantum Computation and Communication Technology. This Centre aims to implement quantum processors able to run error corrected algorithms and transfer information across networks with absolute security. Australian researchers have established global leadership in quantum information, an innovative technology which could transform all industries dependent on computational power. This Centre has developed technologies for manipulating matter and light at the level of i ....ARC Centre of Excellence for Quantum Computation and Communication Technology. This Centre aims to implement quantum processors able to run error corrected algorithms and transfer information across networks with absolute security. Australian researchers have established global leadership in quantum information, an innovative technology which could transform all industries dependent on computational power. This Centre has developed technologies for manipulating matter and light at the level of individual atoms and photons, with the highest fidelity, longest coherence time qubits in the solid state, the world’s longest-lived quantum memory, and the ability to run small-scale algorithms on photonic qubits. The new technology is expected to provide a strategic advantage in a world where information and information security are of paramount importance.Read moreRead less