The Sydney quantum community are after bright minds to work on the next breakthroughs in quantum science and technology.
Research projects on offer
Our Sydney network of quantum experts are seeking PhD, Honours and Master students to work on a variety of quantum science and technology research projects. Projects suit both experimentalists or theorists, and driven individuals with backgrounds across a range of disciplines such as physics, computer science, engineering, chemistry or mathematics.
Here are a few of the research opportunities on offer in Sydney. You can also browse the list of experts from our partner universities to identify potential supervisors to contact direct.
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AI-assisted digital laser frequency stabilization for atomic spectroscopy
Dr Eric Howard, Dr Cyril Laplane
High precision measurements in quantum optics and atomic physics rely on the fine control of the experimental parameters and require the locking stabilisation of the frequency of the transmitted signal. This project entails the design, development and characterization of a loop-back control system and digital controller for laser frequency stabilization. The hardware will be based on a RedPitaya STEMlab platform and will be used to lock the laser emission frequency to the cavity resonance of reference and spectral peak maximum for Doppler-free absorption spectroscopy experiments with Rubidium. The student will employ machine learning methods for analysis and optimisation of the interfacing and acquisition of the emission spectra for atomic vapor saturated absorption spectroscopy experiments.
This project would suit: This Master's project is suited to graduates with a strong background in electronics or optoelectronics and an interest in embedded systems and quantum/atomic physics.
Advanced digitisation techniques and threshold effects in experimental quantum simulators
A/Prof Nathan Langford, Dr JP Dehollain, A/Prof Daniel Burgarth, A/Prof Dominic Berry
This project is part of our exciting new ARC-funded research grant, where we aim to enhance high-tech quantum simulators to meet the demands of computer-modelling intensive industries such as drug and vaccine design. By developing innovative digitisation and control techniques for simulating the behaviour of complex quantum systems, a task that is generally impossible to solve with classical computing technology, this project aims to help shape the design of future quantum computers and maximise the modelling power of current industry-scale processors built by companies like Google, IBM and Australian start-up, Silicon Quantum Computing.
In this project, you will work in a state-of-the-art circuit QED laboratory under the supervision of A/Prof Nathan Langford and Dr JP Dehollain, and collaborate with leading local and international quantum theorists. You will develop and test key elements of new and state-of-the-art digitisation techniques for quantum simulations and control, studying threshold behaviours in digitisation performance and developing experimental techniques for higher-order digitisation. You will develop strong experimental skills in quantum device design, simulation, fabrication and characterisation, cryogenic microwave measurements, and expertise in quantum information theory and algorithms.
Quantum computing is shaping up to be one of the most influential high-tech industries of the 21st century, with a large and growing global industry, start-up and academic community constantly searching for new talent with training and technical skills in quantum technologies research. This PhD will provide exactly the training and skills you need to join the quantum technologies revolution and secure a place in this exciting growth industry.
This project would suit: We encourage high performing students to apply who are undertaking an Honours or Master's degree in an appropriate subject area, such as physics or engineering, and strong results in undergraduate courses in quantum physics and other relevant subject areas. The funding for this project is eligible for Australian domestic students only.
Analog trapped-ion quantum simulators for chemical dynamics
A/Prof Ivan Kassal, Dr Ting Rei Tan, Prof Michael Biercuk
Quantum simulators aim to describe the properties of quantum systems that would otherwise be too difficult to simulate on ordinary computers. In particular, analog quantum simulators—which do not require universal, programmable quantum computers—are likely to be the first practical quantum computing devices.
Our goal is to simulate the outcomes of chemical reactions that are beyond the capabilities of conventional computers, which would have transformative impacts from materials and energy science to drug discovery.
To do so, we are developing analog quantum simulators for chemical dynamics using a state-of-the-art trapped-ion platform. Our ytterbium ion trap is among the best in the world for simulating motional degrees of freedom, which we are using to mimic the quantum-mechanical motion of atoms in chemical processes.
This project is a collaboration between the theorists in the Kassal group and the ion-trap experimentalists in the Quantum Control Lab. The collaboration is wide ranging, from theoretically exploring fundamental analog simulation algorithms to devising experimental quantum-control processes for optimising our experimental simulations. Therefore, different aspects of this collaborative projects would suit either theorists or experimentalists, chemists or physicists, or those who wish to purse their degree (at any level) at the interface of all of these fields. Please contact us for further information about the current status of the project and how it can be tailored to your interests.
This project would suit: Students with background in either chemistry or physics
Atomically thin van-der Waals materials
Prof Alex Hamilton, Dr Feixiang Xiang
Graphene, a single layer of carbon atoms with honeycomb lattice structure, shows many exotic physics and promising properties for device applications. Stacking different layers together provides a degree of freedom to change electronic properties of graphene, such as electronic band structures. In this project, the successful applicant will work with a team from QED group from School of Phyiscs at UNSW to explore effect of different stacking order on electronic properties of ABA- and ABC- stacked trilayer graphene. The successful applicant will participate in fabrication of van der Waals heterostructure and measuring their electronic properties in an environment of ultracold temperatures and high magnetic fields.
This project would suit: An experimentally focussed materials scientist, chemist or physicist
Automated laser beam alignment optimization using machine learning techniques
Dr Eric Howard, Dr Cyril Laplane
Complex light fields used in optical tweezers require advanced optical manipulation and control of the laser beam. The project focusses on the design, experimental setup and characterization of a beam auto-aligner system on a Raspberry Pi controlled stepper motor. The system will be used for maintaining and manipulating the intensity distribution of the laser beam and precise optical beamshaping by a spatial light modulator patterned optical trap for cold atoms. The work involves developing a machine learning algorithm for optimization of the “walking the beam” technique, used in most quantum optics experiments and control of structured light for advanced optical manipulation. The algorithm can be used to optimize the laser power into optical fibers, better modulation of the amplitude and phase of light and for controlling of the overlapping beams in a pump-probe experimental setup. The precise control of the laser beam intensity distribution enables the fine tuning of configurable potential wells for future optimized optical trapping experiments.