- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Mechanical and Optical Resonators
- Advanced MEMS and NEMS Technologies
- Quantum and electron transport phenomena
- Geophysics and Sensor Technology
- Force Microscopy Techniques and Applications
- Cold Atom Physics and Bose-Einstein Condensates
- Holomorphic and Operator Theory
- Analytic and geometric function theory
- Neural Networks and Reservoir Computing
- Advancements in Semiconductor Devices and Circuit Design
- Nanowire Synthesis and Applications
- Diamond and Carbon-based Materials Research
- Advanced Differential Equations and Dynamical Systems
- Spectroscopy and Quantum Chemical Studies
- Optical Network Technologies
- Blind Source Separation Techniques
- Photonic and Optical Devices
- Semiconductor Lasers and Optical Devices
- Quantum optics and atomic interactions
- Algebraic and Geometric Analysis
Queensland Rail
2021
The University of Sydney
2021
Q-Flex (United States)
2021
ARC Centre of Excellence for Engineered Quantum Systems
2021
Centre for Quantum Computation and Communication Technology
2014-2018
Australian National University
2014-2018
Effectively manipulating quantum computing hardware in the presence of imperfect devices and control systems is a central challenge realizing useful computers.Susceptibility to noise critically limits performance capabilities today's so-called noisy intermediate-scale (NISQ) devices, as well any future technologies.Fortunately, enables efficient execution logic operations algorithms with builtin robustness errors, without need for complex logical encoding.In this manuscript we introduce...
Machine learning based on artificial neural networks has emerged as an efficient means to develop empirical models of complex systems. Cold atomic ensembles have become commonplace in laboratories around the world, however, many-body interactions give rise dynamics that preclude precise analytic optimisation cooling and trapping process. Here, we implement a deep network optimise magneto-optic neutral ensembles. The solution identified by machine is radically different smoothly varying...
Abstract A class of entangling gates for trapped atomic ions is studied and the use numeric optimization techniques to create a wide range fast, error‐robust gate constructions demonstrated. framework introduced targeting maximally‐ partially‐entangling operations on ion pairs, multi‐ion registers, subsets large parallel within single register. Ions are assumed be individually addressed, permitting over amplitude‐ phase‐modulated controls. Calculations simulations demonstrate that inclusion...
Quantum harmonic oscillators are central to many modern quantum technologies. We introduce a method determine the frequency noise spectrum of oscillator modes through coupling them qubit with continuously driven qubit-state-dependent displacements. reconstruct using series different drive phase and amplitude modulation patterns in conjunction data-fusion routine based on convex optimization. apply technique identification intrinsic motional single trapped ion sensitivity fluctuations at...
We propose a method to tailor the potential experienced by moveable end mirror in cavity optomechanical system specifying spectral properties of input field.We show that engineering power density field desired force function can be approximated, with accuracy approximation limited only linewidth cavity.The very general technique presented here could have applications many kinds systems, particularly those used for sensing and metrology.We demonstrate applying it improve sensitivity...
We examine the use of optomechanically-generated squeezing to obtain a sensitivity enhancement for interferometers in gravitational-wave band. The intrinsic dispersion characteristics optomechanical around mechanical frequency are able produce at different quadratures over spectrum, feature required by beat standard quantum limit an extended range. Under realistic assumptions we show that amount available and quadrature rotation may provide, compared similar amounts fixed-quadrature...
Manipulating quantum computing hardware in the presence of imperfect devices and control systems is a central challenge realizing useful computers. Susceptibility to noise limits performance capabilities noisy intermediate-scale (NISQ) devices, as well any future technologies. Fortunately enables efficient execution logic operations algorithms with built-in robustness errors, without need for complex logical encoding. In this manuscript we introduce software tools application integration...
Quantum information systems demand methods for the storage and manipulation of qubits. For optical qubits, atomic ensembles provide a potential platform such operations. In this work, we demonstrate stopped light quantum memory with efficiency up to 87%. We also visualise stationary light, which could potentially enhance weak nonlinearities. At heart our experiments is laser-cooled ensemble, has recently been optimised help machine learning system that uses an artificial neural network.
We discuss domains of holomorphy and several notions pseudoconvexity (drawing parallels with the corresponding from geometric convexity), present a mostly self-contained solution to Levi problem. restrict our attention $\mathbb C^n$.
We investigate the optomechanical interaction between light and metallic nanowires through action of bolometric forces. show that response time photothermal forces induced on nanowire is fast strength can overcome radiation pressure force. Furthermore, we suggest be enhanced by surface plasmon excitation to cool sub-megahertz vibrational modes close its quantum limit.