School of Physics - Theses
Permanent URI for this collection
Search Results
1 - 10 of 233
-
ItemDetecting and characterising extrasolar planets in reflected light(University of Melbourne, 2009)
-
ItemFault-tolerant quantum computation with local interactions(University of Melbourne, 2009)
-
ItemMonte Carlo characterisation of narrow photon fields for intensity modulated radiotherapy(University of Melbourne, 2006)
-
ItemFocusing of an atomic beam using a TEM01 mode lens(University of Melbourne, 2006)
-
ItemSimulating Noisy Quantum Algorithms and Low Depth Quantum State Preparation using Matrix Product States( 2021)Since the proposal of Quantum Computation in the 1980s, many Quantum Algorithms have been proposed to solve problems in a wide variety of fields. However, due to the limitations of existing quantum devices, analysing the performance of these algorithms in a controlled manner must be performed classically. The leading technique to simulate quantum computers classically is based on the Matrix Product State (MPS) representation of quantum systems. We used this simulation method to benchmark the noise tolerance of a number of quantum algorithms including Grover’s Algorithm, finding that the algorithm’s ability to discern the marked state is exponentially suppressed under noise. We verified the existence of Noise-Induced Barren Plateaus (NIBPs) in the Quantum Approximate Optimisation Algorithm (QAOA) and found that the recursive QAOA (RQAOA) variation is resilient to NIBPs, a novel result. Also integral to the performance of quantum algorithms is the ability to efficiently prepare their initial states. We developed novel techniques to prepare low-depth circuits for slightly entangled quantum states using MPS. We found that we can reproduce Gaussian and W States with circuits of O(log(n)) depth, improving on current best known results which are of O(n).
-
ItemThe Panoramic Deep Fields( 2001)The Panoramic Deep Fields are a deep multicolour survey of two ~ 25 ° fields at high galactic latitude. The survey images have been constructed by digitally stacking scans UK Schmidt plates. Deep images (Bj ~23.5) with low contamination have been obtained by subtracting the background from the individual plates scans and using bad pixel rejection during the stacking. The size and depth of the fields allow the accurate statistical measurement of the environments and evolution of galaxies and AGN. The clustering of galaxies and galaxy clusters has been measured from z ~0.4 until the current epoch. The clustering properties of galaxies are strongly correlated with colour and blue U – Bj selected galaxies exhibit weaker clustering than any morphologically selected sample. The weak clustering (ro ≤ 3h -1 Mpc) of blue galaxies implies galaxy colour and stellar population are more strongly correlated with environment than galaxy morphology. Despite the large fields-of-view, the clustering of red galaxies and clusters varies significantly between the two fields and the distribution of clusters is consistent with this being due to large-scale-structure at z ~0.4. The evolution and environments of AGN have been measured at intermediate redshifts with the Panoramic Deep Fields. Photometric redshifts, colour selection and the NVSS have been used to compile a catalogue of ~ 180 0.10 < z< 0.55 radio galaxies. The evolution of the radio galaxy luminosity function is consistent with luminosity evolution parameterised by L (z) ~ L(0) (1+z)3.4. The environments of UBR selected AGN and radio galaxies have been measured at z~0.5 using the Panoramic Deep Field galaxy catalogue. By applying photometric red-shifts and colour selection criteria to the galaxy catalogue, it has been possible to increase the signal-to-noise of the angular correlation function and measure the cross-correlation with specific galaxy types. Most AGN host environments are comparable to the environments of galaxies with the same morphology. However, ~6% of UBR selected AGN are in significantly richer environments. No significant correlation between AGN luminosity and environment was detected in the Panoramic Deep Fields. The richness of AGN environments is not strongly correlated with redshift and the rapid evolution of the AGN luminosity function is not caused by evolution of AGN host environments.
-
ItemBelle II Silicon Vertex Detector and a measurement of B → D**lν decays at Belle( 2021)The Belle II Silicon Vertex Detector (SVD) is a silicon strip detector designed to possess a high irradiation tolerance and short shaping time, making the detector suitable for operation at the high luminosity SuperKEKB collider. In this thesis, the construction of the inner most layer of the detector ''Layer-3'' and subsequent electrical characterisation of the devices are described. Each of the 11 Layer-3 ladders produced were of a high electrical quality, with a strip failure rate of less than 0.2%, demonstrating each of the ladders to be a suitable candidate for installation into the Belle II detector. In the early stages of the detector commissioning phase, numerous high occupancy regions were discovered on the origami sensors. This problem was identified to be caused by crosstalk between control lines on the pitch adapters and the electrodes of the sensor beneath. An algorithm was developed to identify events in which these clusters were present, such that further studies into the affect of the crosstalk clusters could be performed. In particular, the impact on the track finding performance was studied in the search of an offline software approach to mitigating the crosstalk clusters. It was found that the signal-to-noise Ratio (SNR) of the crosstalk clusters were distinct from clusters deposited by signal tracks and an SNR cut based approach demonstrated an improvement to the tracking computation time of order 10%, and a slight improvement to the track parameter resolution. The hit occupancy in the SVD is expected to continually increase as the instantaneous luminosity of SuperKEKB increases over the course of the experiment. As a means of reducing the exponentially growing number of 2D hit candidates which are supplied to the track finding software, detector information was utilised to filter background events. Through exploiting cluster charge, cluster time, and cluster size correlations between each side of the strip detector, a quality index was assigned to each of the reconstructed 2D hits. The quality index of the 2D hits was included in the track candidate multivariate classifier (MVC), having the second highest impact of all the included variables. Through inclusion as a feature of the MVC, the purity of the global track quality ranking was improved. Additionally, a measurement of the semi-inclusive $B\rightarrow D^{**}\ell\nu$ rates, (where $\ell$ denotes either an electron or a muon) were obtained from the entire 711 $fb^{-1}$ Belle data-set. $B\rightarrow D^{**}\ell\nu$ decays are of particular interest due to the uncertainty in the branching fractions calculated by previous measurements. A more precise measurement is of importance for the difference between the inclusive charmed semileptonic decay rate and the sum of the exclusive charmed semileptonic decays (the ``gap problem'') and for improving the precision of future measurements of $\mathcal{R}(D)$ and $\mathcal{R}(D^{*})$, where new physics may be observed. The tag-side $B$ meson is fully reconstructed in a hadronic decay mode with the latest \ac{BDT} tagging algorithm. The measured branching fractions are $\mathcal{B}(B^{+}\rightarrow D^{-}\pi^{+}\ell^{+}\nu) = (0.396 \pm 0.014 \pm 0.020)\% $, $\mathcal{B}(B^{+}\rightarrow D^{*-}\pi^{+}\ell^{+}\nu) = (0.509 \pm 0.019 \pm 0.030)\%$, $ \mathcal{B}(B^{0}\rightarrow \bar{D}^{0}\pi^{-}\ell^{+}\nu) = (0.364 \pm 0.020 \pm 0.020)\%$, $\mathcal{B}(B^{0}\rightarrow \bar{D}^{*0}\pi^{-}\ell^{+}\nu) = (0.589 \pm 0.030 \pm 0.040)$. Each of which are in agreement with current world averages, apart from $\mathcal{B}(B^{+}\rightarrow D^{*-}\pi^{+}\ell^{+}\nu)$, which falls below the world average by 1.8$\sigma$. Each of these measurements offer a higher precision than previous results.
-
ItemReal-time Detection and Identification of Pathogens and Pollutants through Optical Imaging( 2021)The rapid and accurate detection and identification of pathogens and pollutants are crucial to prevent problems related to health and safety. Optical imaging offers the opportunity to timely detect and identify those micro and nano-objects on-site. In this study, we investigated the potential of confocal microscopic imaging for label-free, real-time, and non-invasive detection and identification of harmful pathogens and toxic pollutants by exploiting their intrinsic fluorescence features - emission spectra and fluorescence lifetime. All materials have the natural capability to fluoresce due to the presence of endogenous fluorophores. These endogenous fluorophores show characteristic excitation-emission spectra and fluorescence lifetime, which makes them attractive endogenous probes. Intrinsic fluorescence-based methods are advantageous compared to extrinsic fluorescence-based methods due to minimal sample handling, no chemical processing or modification, and acquisition of results in a few minutes after sample preparation. Chapter 1 is a general introduction to the field of fluorescence and provides a comprehensive literature review that leads to the research question and motivation behind current research work. Chapter 2 describes the fluorescence techniques and methodology employed in this thesis. Chapter 3 investigates the intrinsic fluorescence properties of three polyaromatic hydrocarbons (PAHs), namely, pyrene, phenanthrene, and naphthalene, using confocal microscopy. PAHs are toxic and carcinogenic and are considered primary pollutants. In this work, we exploit the intrinsic fluorescence of PAHs for their detection and measure the emission spectra of PAHs for their identification in the soil samples. Then, through the application of ImageJ software, we perform quantification analysis of PAHs in the soil samples. Chapter 4 studies the intrinsic fluorescence characteristics, i.e., emission spectra and fluorescence lifetime of nematode genus and species, for their rapid detection and identification. In this study, we observe that these pathogens contain various intracellular biochemicals that act as endogenous fluorophores that assist in their rapid and on-site detection and identification using confocal microscopy. We also demonstrate that these eggs can be detected and identified in the sludge samples. Then, using Raman vibration spectroscopy, we find the origin of fluorescence in these nematode eggs. This work, for the first time, demonstrates real-time detection and identification of eggs of sub-species of nematodes, i.e., Ascaris suum and Ascaris lumbricoides using their intrinsic fluorescence properties. Currently, rapid detection and identification of Gram-positive, Gram-negative, and multi-drug resistant strains of bacteria are crucial to control infections and prescribe an appropriate antibiotic to an infected patient. To address this, in Chapter 5, we report on the evaluation of confocal microscopy for the identification of clinically important and multi-drug resistant (MDR) bacteria in real time, using their intrinsic fluorescence features, i.e., emission spectra and fluorescence lifetime. We observe that difference in emission spectra and fluorescence lifetimes can be used as a fingerprint for identification of 12 bacterial species and MDR strains in real-time. Further, dilution experiments demonstrate that using intrinsic fluorescence bacteria can be detected and identified at sepsis concentration. The research on bacterial biofilm dynamics has not been extensively explored; hence, understanding of bacterial biofilms dynamics is still in infancy. Chapter 6 explores the bacterial biofilms dynamics by exploiting their intrinsic fluorescence properties. We measure the fluorescence lifetime and emission spectra of four clinically important bacterial biofilms at different stages of their growth. In addition, we also explore the origin of bright red fluorescence in these bacterial biofilms by measuring the fluorescence lifetime of the biofilm components. Chapter 7 concludes the major contributions of the research described in this thesis and discusses potentially useful future applications.
-
ItemDense matter and magnetic fields in neutron stars( 2021)The life cycle of main sequence stars with masses in the range 8 - 25 solar masses ends in a supernova explosion, whose remnant is a dense compact object called neutron star. The huge gravitational field of neutron stars, counterbalanced by the pressure of strongly degenerate matter, combined with intense magnetic fields offer the opportunity to probe matter in extreme conditions, far beyond the reach of contemporary laboratory experiments. The wealth of observations of neutron stars gradually reveals more facets of their nature, although much is yet to be discovered. The aim of this work is to study the interplay of two ingredients of neutron star physics: dense matter and magnetic fields. The properties of ultra-dense matter can be inferred from the thermal radiation emitted by isolated neutron stars and magnetars. Detailed models of the atmosphere, surface, crust and core are required to determine how information about dense matter in the core is filtered out by the outer layers. Often, several key quantities that determine the thermal luminosity are unknown, such as the mass and radius, or the chemical composition and magnetic field configuration. The ionization state and emission model adopted for the stellar atmosphere and the chemical composition of the outer envelope (i.e. a layer with a typical thickness of ~ 100 m) affect the thermal radiation produced at the surface. Strong magnetic fields modify the heat transport in the atmosphere and in the crust and can decay, producing high Joule heating rates, complicating the interpretation of thermal luminosity observations in terms of the internal chemical composition and the neutrino emission processes active in the deeper regions of the core. Chapters 2 and 3 study the thermal radiation produced by neutron stars with cores hosting unconventional particles such as hyperons by performing state-of-the-art magneto-thermal evolution simulations. The influence of the magnetic field on the thermal evolution is examined for several plausible initial magnetic field configurations, and the thermal luminosity is compared with the data of thermally emitting, isolated neutron stars and magnetars. It is found that (i) internal heating is required by stars with and without hyperon cores, regardless of the composition of the outer envelope, if direct Urca processes activate in stars with masses ~ 1 solar mass and neutrons are superfluid in a large fraction of the core; and (ii) the thermal power produced by the dissipation of crustal electric currents sustaining the magnetic field can hide the effect of fast cooling processes related to the appearance of hyperons in the core, making hard to infer the chemical composition of neutron stars from thermal luminosity data. Although the intense magnetic field of neutron stars plays a central role in their phenomenology, the internal field is poorly known, and often one relies on simplistic magnetic topologies. Additionally, neutron stars may have internal velocity fields generated by differential rotation that affect the magnetic field configuration. One important question is whether in such conditions the magnetic field can force the fluid to rotate uniformly with the solid crust, or whether the fluid can be in a state of differential rotation on long, viscous time-scales. Due to computational limitations, performing detailed magneto-thermal simulations with the addition of evolving internal velocity fields of several fluid components is a nontrivial task. However, one can gain some insight into the magnetic configuration in the presence of internal flows by modeling the star as a spherical shell containing a single, idealized and electrically conducting fluid. In Chapter 4 we study the implications of internal fluid flows on the magnetic field configuration by applying a constant rotational shear between the inner and outer boundaries. It is found that differential rotation tangles the magnetic field lines and produces small-scale toroidal flux tubes containing bundles of closed toroidal field lines in proximity of the magnetic equator. In these toroidal flux tubes, the fluid velocity is set by viscosity rather than by the magnetic field, allowing differential rotation in neutron star interiors to persist on long, viscous time-scales. Hyperons are not the only unconventional particles that may appear in neutron star cores. Typical densities in massive stars may be sufficiently high for quarks to deconfine, and crystalline phases arising from inhomogeneous condensation of quarks may form. In Chapter 5 we develop an analytic approximation for the free energy of deconfined quark matter and study its ground state in the presence of strong magnetic fields and at high temperatures, which may be characteristic of neutron star binary mergers. It is shown that the magnetic field and temperature compete in enlarging and reducing respectively the region of the phase diagram where inhomogeneous phases of quark matter are favored, which correspond to the regions where the neutrino emissivity of quark matter increases due to the activation of direct Urca processes.
-
ItemEntanglement in superconducting quantum devices and improving quantum circuit compilation( 2021)Quantum computing has the potential to solve many computational problems more efficiently than classical computing. It is expected to expand our ability to simulate and solve difficult and classically intractable problems in many fields of research and industry. However we are currently in the noisy intermediate-scale quantum (NISQ) era of quantum computing where devices are relatively small and suffer significant levels of noise. In this thesis we report on experiments on IBM Quantum devices, which are among the most advanced quantum devices in the world, to assess the growing capabilities of quantum computing. We focus on the ability to prepare and detect sizeable multi-qubit entangled states, which is a critical milestone for quantum physical platforms. In our first set of experiments, graph states of 20, 53 and 65 qubits are prepared on IBM Quantum devices and are shown to be fully bipartite entangled. Before these experiments, the largest cluster of qubits shown to be bipartite entangled on a gate-based quantum computer was 16 qubits. In another experiment, a Greenberger-Horne-Zeilinger (GHZ) state is prepared over all 27 qubits of the ibmq_montreal device and is demonstrated to exhibit the stronger genuine multipartite entanglement (GME), the largest state shown to exhibit GME to date. These results highlight the positive advancement of quantum computing technology towards the physical realisation of sizeable and complex quantum algorithms. Physical quantum devices usually have limited connectivity. So they typically have coupling maps that specify which pairs of qubits support direct application of two-qubit gates. Mapping quantum circuits to physical devices requires qubit states on the device to move to target qubits via a sequence of SWAP gates to satisfy two-qubit gate coupling map requirements. One approach to finding optimised SWAP schedules involves solving a problem called multi-qubit pathfinding (MQP). We introduce an algorithm that finds optimal solutions to this problem. It primarily minimises the total SWAP gate circuit depth and secondarily minimises the accumulated gate errors. The algorithm is benchmarked on a variety of quantum hardware layouts. The run time appears comparable to current state-of-the-art algorithms while additionally optimising with respect to accumulated gate error and the algorithm is flexible with respect to variations on the problem. Large scale complex quantum algorithms will require robust error-correcting protocols performed over encoded logical qubits. Only a small set of gates can be applied transversally to encoded quantum states, and only a subset of unitary gates can be fault-tolerantly applied via resource-expensive distillation procedures. Together, these gates can be multiplied in sequence to generate any unitary gate to arbitrary precision, where sequences are found using a gate synthesis procedure. We assign resource costs to various base gates and perform cost-optimal single-qubit gate synthesis with the standard Clifford+T base gate set along with additional gates from the Clifford hierarchy. We show that by including higher orders of the Clifford hierarchy, cost savings of over 50% could potentially be achieved. This suggests that adapting current synthesis algorithms to support higher order Clifford hierarchy base gates and individually assigned resource costs could provide substantial benefits.