Diagnosing quantum noise sources in quantum information processors via machine learning. Noise is the primary obstacle to building large-scale quantum information processors that have the potential to revolutionise our understanding of the world. This project will use the powerful techniques and methods of machine learning to identify, characterise, and correct noise sources in the next generation of quantum information processors. These innovative techniques will allow the reliability of quantu ....Diagnosing quantum noise sources in quantum information processors via machine learning. Noise is the primary obstacle to building large-scale quantum information processors that have the potential to revolutionise our understanding of the world. This project will use the powerful techniques and methods of machine learning to identify, characterise, and correct noise sources in the next generation of quantum information processors. These innovative techniques will allow the reliability of quantum computer components to be tested, and thus help identify which candidate technologies are capable of building a scalable quantum computer.Read moreRead less
Integrating quantum hyperpolarisation in nuclear magnetic resonance systems. This project aims to integrate quantum hyperpolarisation technology into state-of-the-art nuclear magnetic resonance (NMR) systems, potentially boosting the signal by several orders of magnitude. Understanding the structure and function of membrane bound peptides and proteins in cells in their native environments is critical in drug development. However, studying these biomolecules by conventional NMR under ambient cond ....Integrating quantum hyperpolarisation in nuclear magnetic resonance systems. This project aims to integrate quantum hyperpolarisation technology into state-of-the-art nuclear magnetic resonance (NMR) systems, potentially boosting the signal by several orders of magnitude. Understanding the structure and function of membrane bound peptides and proteins in cells in their native environments is critical in drug development. However, studying these biomolecules by conventional NMR under ambient conditions is challenging due to sensitivity limitations. The technology developed by this project will be a significant step forward in NMR and the new science enabled may have far reaching consequences for the study of peptides and proteins of live cells for the development of new drugs and anti-biotics, with direct societal benefits and flow-on economic benefits.Read moreRead less
Quantum algorithms for quantum chemistry. This project aims to develop more efficient algorithms to simulate quantum chemistry on quantum computers. Quantum computers have the potential to perform calculations that would be intractable for even the largest supercomputers, but need to be programmed in a radically different way to achieve this speed. One of the most important applications of quantum computers is to simulate quantum mechanics to predict the properties of molecules and materials, an ....Quantum algorithms for quantum chemistry. This project aims to develop more efficient algorithms to simulate quantum chemistry on quantum computers. Quantum computers have the potential to perform calculations that would be intractable for even the largest supercomputers, but need to be programmed in a radically different way to achieve this speed. One of the most important applications of quantum computers is to simulate quantum mechanics to predict the properties of molecules and materials, and thereby design them. Current quantum algorithms are very resource intensive, making them impractical for the foreseeable future. The expected outcome of this project is to provide much more efficient algorithms that can be run on quantum processors in the near future.Read moreRead less
Quantum equilibration. This project will shed light on a fundamental problem in physics - how do fragile quantum systems, entirely isolated from the rest of the world, return to equilibrium when disturbed from their natural state? Our results will provide a theoretical underpinning for the development of quantum simulators that can be used for the design of advanced materials.
Atomic forces for sorting ultrabright nanodiamonds. This project aims to sort fluorescent nanodiamonds according to their brightness using atomic radiation pressure. Fluorescent nanodiamonds can overcome all limitations associated with conventional fluorescent bio-labels. While readily available, their brightness varies greatly, so a method for yielding high-quality material with consistent brightness is needed. This project combines techniques from laser manipulation of cold atoms and microflui ....Atomic forces for sorting ultrabright nanodiamonds. This project aims to sort fluorescent nanodiamonds according to their brightness using atomic radiation pressure. Fluorescent nanodiamonds can overcome all limitations associated with conventional fluorescent bio-labels. While readily available, their brightness varies greatly, so a method for yielding high-quality material with consistent brightness is needed. This project combines techniques from laser manipulation of cold atoms and microfluidics to create an optofluidic method of particle separation. The proposed device could sort nanodiamonds more than a billion times faster than active sorting techniques. This is expected to lead to better tools for bio-imaging and bio-manipulation.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100489
Funder
Australian Research Council
Funding Amount
$395,220.00
Summary
Heisenberg’s uncertainty principle, the limits to knowledge, and the foundations of quantum theory. This project will establish what the uncertainty principle can teach us about quantum foundations, and will address why quantum theory obeys such a principle and why Nature chose quantum theory amongst other possible theories. Specifically, this project will determine how the uncertainty principle restricts the information one can get on incompatible measurements, by deriving new complementarity r ....Heisenberg’s uncertainty principle, the limits to knowledge, and the foundations of quantum theory. This project will establish what the uncertainty principle can teach us about quantum foundations, and will address why quantum theory obeys such a principle and why Nature chose quantum theory amongst other possible theories. Specifically, this project will determine how the uncertainty principle restricts the information one can get on incompatible measurements, by deriving new complementarity relations. These will clarify what can or cannot be done in the context of quantum information. This project will determine how much of a theory can be reconstructed from such relations and what other fundamental axioms are required to fully derive quantum theory. This will shed light on the reasons why Nature prefers it to other theories.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100712
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Principles and applications of quantum causal discovery. This project aims to develop a comprehensive framework to discover causal relations in quantum experiments. Quantum information can solve practical problems involving quantum systems, providing great insight in the foundations of physics and a promise of revolutionary technology. However, little is known about inferring causal relations between quantum events, a core problem in all scientific disciplines. This project aims to develop tools ....Principles and applications of quantum causal discovery. This project aims to develop a comprehensive framework to discover causal relations in quantum experiments. Quantum information can solve practical problems involving quantum systems, providing great insight in the foundations of physics and a promise of revolutionary technology. However, little is known about inferring causal relations between quantum events, a core problem in all scientific disciplines. This project aims to develop tools to efficiently solve this task, which is expected to open a new direction in quantum information and applied quantum technologies, and provide a deeper understanding of causality in the quantum world. Such advances in the theoretical background for developing quantum technologies could benefit the economy.Read moreRead less
Quantum algorithms for computational physics. The project intends to provide a solid base of quantum algorithms that would enable quantum computers to tackle currently insurmountable problems. Many of the highest-value applications in computing are based on solving problems in physics. Quantum computers take advantage of the power of quantum mechanics to outperform even the fastest conceivable supercomputers. This project plans to use new tools in quantum algorithms to provide much faster ways f ....Quantum algorithms for computational physics. The project intends to provide a solid base of quantum algorithms that would enable quantum computers to tackle currently insurmountable problems. Many of the highest-value applications in computing are based on solving problems in physics. Quantum computers take advantage of the power of quantum mechanics to outperform even the fastest conceivable supercomputers. This project plans to use new tools in quantum algorithms to provide much faster ways for quantum computers to simulate physics, including molecular modelling, field theories that explain elementary forces in the universe, and differential equations needed to model classical physics. The increases in computing speed have the potential to enable new technology in areas such as drug design and materials science, as well as providing testable predictions for new theories of physics.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100409
Funder
Australian Research Council
Funding Amount
$367,576.00
Summary
Knowledge, Ignorance, and Security in Higher-dimensional Quantum Systems. This project aims to provide new understanding of information and security in higher-dimensional systems, and to exploit this to deliver a secure, high-capacity, quantum image transfer protocol for quantum communication and quantum cryptography technologies. In quantum physics, the best possible knowledge of a whole does not include the best possible knowledge of the parts: not knowing any of the letters of a word does not ....Knowledge, Ignorance, and Security in Higher-dimensional Quantum Systems. This project aims to provide new understanding of information and security in higher-dimensional systems, and to exploit this to deliver a secure, high-capacity, quantum image transfer protocol for quantum communication and quantum cryptography technologies. In quantum physics, the best possible knowledge of a whole does not include the best possible knowledge of the parts: not knowing any of the letters of a word does not imply not knowing what the word is. This project aims to examine the high-dimensional transverse spatial modes of photon to show that the converse is also true: not knowing the word does not imply not knowing any of the letters. Project outcomes may have applications in remote sensing and surveillance.Read moreRead less
Emergent physics in quantum transport with ultracold atoms. Understanding the laws of physics by which complex interactions in many-particle systems lead to the emergence of new behaviour is a fundamental problem. The project seeks to understand the microscopic mechanisms and phenomenology of emergent transport phenomena in the motion of particles in quantum many-body systems. This project will develop new theories of quantum transport in ultracold atomic gases, which provide a unique avenue for ....Emergent physics in quantum transport with ultracold atoms. Understanding the laws of physics by which complex interactions in many-particle systems lead to the emergence of new behaviour is a fundamental problem. The project seeks to understand the microscopic mechanisms and phenomenology of emergent transport phenomena in the motion of particles in quantum many-body systems. This project will develop new theories of quantum transport in ultracold atomic gases, which provide a unique avenue for addressing our aims by controlled realisation of novel and well-characterised microscopic models of many-body theory. This project will provide new insights into the structure-dynamics-functionality paradigm, enabling breakthrough applications in the bottom-up design of new materials and in cellular regulation in biology.Read moreRead less