A versatile optical wavelength and mode switching device for future telecommunication networks. This project will develop a next generation switching device for future fibre optical communication networks that will divide their information among several modes of specialty fibre. This device will be a key component for allowing network operators to move to these novel mode-multiplexed networks in order to overcome the looming capacity crunch.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100203
Funder
Australian Research Council
Funding Amount
$420,000.00
Summary
Ultrafast optoelectronic characterisation for optical and wireless systems. Ultra-fast optoelectronic characterisation for optical and wireless systems:
The project aims to establish an ultra-fast optoelectronic characterisation facility to measure a wide range of electronic and photonic signals, providing versatile tools for conducting research on ultra-high-speed optical communications, microwave photonics, and millimetre wave systems. There is an increasing need for parallel signalling using ....Ultrafast optoelectronic characterisation for optical and wireless systems. Ultra-fast optoelectronic characterisation for optical and wireless systems:
The project aims to establish an ultra-fast optoelectronic characterisation facility to measure a wide range of electronic and photonic signals, providing versatile tools for conducting research on ultra-high-speed optical communications, microwave photonics, and millimetre wave systems. There is an increasing need for parallel signalling using spatial, temporal and spectral degrees of freedom in both radio-frequency and optical communications. The facility expects to leverage the recent rapid advances in powerful silicon digital signal processors with unprecedented capabilities in bandwidth and accuracy and focus on detecting massively parallel signals. The project aims to support a wide range of research activities from sustaining the phenomenal Internet growth in telecommunications to strengthening Australia’s defence systems.Read moreRead less
Rainbows on demand: coherent comb sources on a photonic chip. This project aims to create photonic circuit technologies that will generate hundreds of coherent laser lines from a single chip. The emerging industrially scalable silicon nitride on thin-film lithium niobate platform will be advanced to create resonant modulators and nonlinear waveguides with unprecedented efficiency and innovative monitoring and control techniques. When combined, these components will enable highly flexible and rob ....Rainbows on demand: coherent comb sources on a photonic chip. This project aims to create photonic circuit technologies that will generate hundreds of coherent laser lines from a single chip. The emerging industrially scalable silicon nitride on thin-film lithium niobate platform will be advanced to create resonant modulators and nonlinear waveguides with unprecedented efficiency and innovative monitoring and control techniques. When combined, these components will enable highly flexible and robust systems for generating a comb of coherent laser lines. These photonic chip comb sources will be inexpensive, compact and energy efficient with transformative impact in spectroscopy, microscopy, precision measurement, quantum computing and ultra-fast optical fibre communications.Read moreRead less
Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it i ....Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it is not clear to the end user how reliable the results are. The outcomes intend to deliver advanced knowledge and capability in artificial intelligence and machine learning that Australia urgently needs to capitalise on bringing deep learning into practical applications delivering economic, commercial and social impact.Read moreRead less
Parallel Lines: Ultra-dense optical systems for extreme data-rates. The project aims to explore methods to significantly expand global internet data rates, by using emerging ultra-dense optical technologies. The project plans to discover how novel existing and emerging tiny photonic chip devices may enable the use of new, unused optical spectral bands, and then enable 1000s of channels to be supported by exploiting newly available parallelism in both wavelength and space. Success in the project ....Parallel Lines: Ultra-dense optical systems for extreme data-rates. The project aims to explore methods to significantly expand global internet data rates, by using emerging ultra-dense optical technologies. The project plans to discover how novel existing and emerging tiny photonic chip devices may enable the use of new, unused optical spectral bands, and then enable 1000s of channels to be supported by exploiting newly available parallelism in both wavelength and space. Success in the project aims may enable speeds of up to 100 times greater than achievable today, in a variety of fibre optic systems. Connectivity is key to our society, so benefits may arise in both future-proofing key Australian data infrastructure, and in providing a roadmap to support exponential capacity growth over the coming decades.Read moreRead less
Advanced Signal Processing for Radiation Spectroscopy. Southern Innovation develops and markets world-leading pulse processing technologies for the rapid, accurate detection and measurement of radiation. The underlying real-time signal processing challenge relates to isolating often overlapping pulses, determining when each pulse arrived and the energy of each pulse. Recent advances in the computational power of digital signal processing boards makes it timely to develop innovative pulse process ....Advanced Signal Processing for Radiation Spectroscopy. Southern Innovation develops and markets world-leading pulse processing technologies for the rapid, accurate detection and measurement of radiation. The underlying real-time signal processing challenge relates to isolating often overlapping pulses, determining when each pulse arrived and the energy of each pulse. Recent advances in the computational power of digital signal processing boards makes it timely to develop innovative pulse processing algorithms based on optimal filtering of stochastic processes. It is expected that these algorithms will have widespread impact, both commercially for minerals exploration, materials analysis, medical imaging and security screening, and scientifically for improving the performance of synchrotrons and other equipment.Read moreRead less
Unlocking the potential of quantitative x-ray micro-tomography. This project aims to build on two new ideas in data acquisition and 3D image reconstruction to bring 3D X-ray microscopy or computed tomography (CT) into advanced research use as well as common industrial applications. In the past 10 years, CT has improved our understanding in areas ranging from the evolution of life and osteoporosis to composite material failure and oil recovery. However, the full potential of CT remains unrealised ....Unlocking the potential of quantitative x-ray micro-tomography. This project aims to build on two new ideas in data acquisition and 3D image reconstruction to bring 3D X-ray microscopy or computed tomography (CT) into advanced research use as well as common industrial applications. In the past 10 years, CT has improved our understanding in areas ranging from the evolution of life and osteoporosis to composite material failure and oil recovery. However, the full potential of CT remains unrealised because crucial features in structure and composition are overlooked by simplistic algorithms. Users cannot directly capture quantities of interest such as key compositional variation or defects, and workflows are poorly adapted for large-scale use in industrial fabrication or phenomics. This project aims to address these shortcomings using advanced mathematics and algorithms.Read moreRead less
Ultra-fast serialised all optical image processing: addressing the electronic bottleneck in the world's fastest camera. Serial time encoded amplified microscopy can capture over a million frames per second. At this rate, a megapixel image would fill a terabyte hard disk in a second. We will use photonics to condense and manipulated the video stream so that only the important features are 'seen', making it practical to process and store on a computer.
Dynamic substrates for surface-enhanced Raman scattering: piezoelectric actuated nanotextures with phase-locked signal processing. Surface-enhanced Raman scattering shows great promise for sensitive detection of a wide range of chemical and biological compounds. Novel electronic devices will be produced to actively tune the nanometre scale structures that generate the scattering signal, resulting in an improved fundamental understanding and control of the effect.