@phdthesis{20371, abstract = {Quantum mechanics reveals a world that defies classical determinism, where uncertainty, superposition, and fluctuations are fundamental aspects. Engineering devices that harness these quantum features requires not only precision, but also a deep understanding of how they interact with their surrounding environment. Superconducting circuits, which exploit macroscopic quantum coherence in low-loss superconducting materials, provide a scalable platform for implementing such systems. Among the critical elements in these circuits, superinductors—high-impedance, dissipation-free inductive components—play a central role by suppressing charge fluctuations. They allow quantum states to be delocalized in phase space, protect qubits from environmental noise, and facilitate access to phenomena such as dual Josephson physics and ultra-strong coupling regimes. This thesis explores two complementary implementations of high-impedance circuits: geometric superinductors, demonstrating that high impedance can be achieved beyond kinetic inductance, and Josephson junction chains, used to investigate both microwave mode properties and DC transport across the superconductor-to-insulator transition. Part I addresses geometric superinductors. Contrary to the common belief that high-impedance superconducting circuits require kinetic inductance, we demonstrate that purely geometric designs can achieve characteristic impedance exceeding the resistance quantum. By exploiting mutual coupling between adjacent turns, coil-based inductors achieve enhanced self-inductance, creating a reliable platform for qubits and resonators. Modeling, simulation, fabrication, and characterization confirm that these elements behave as superinductor. With low loss, high linearity, and minimal stray capacitance, these elements are reproducible, free of uncontrolled tunneling events, and capable of strong magnetic coupling. This establishes geometric superinductors as robust, single-wave-function superconducting devices suitable for hardware protected qubits and hybrid systems. Part II presents classical numerical simulations of a Quantum Phase Slip circuit to study dual Shapiro steps. The circuit consists of an ideal Quantum Phase Slip element embedded in a resistive-inductive environment with a parasitic capacitance. Part III extends the investigation of high characteristic-impedance circuit elements to one-dimensional Josephson junction chains, which act as a quantum simulator for many-body physics and the superconductor–insulator transition. Different devices are realized on both sides of the DC phase transition, showing either a supercurrent branch or Coulomb blockade at zero bias. The effect of the crossover on microwave modes, however, remains insufficiently investigated. Studying these modes provides insight into the interplay between disorder and phase-slip events. Small differences in circuit component sizes determine which side of the transition a device falls on, making these results relevant not only for fundamental understanding but also for the design of quantum devices, emphasizing the crucial role of the electromagnetic environment in stabilizing and controlling fragile quantum states. Together, these results illustrate how carefully engineered high characteristic-impedance elements provide a link between macroscopic circuits and the inherently uncertain quantum world, enabling experiments that probe, control, and ultimately exploit quantum fluctuations for applications in quantum information, metrology, solid state physics and beyond. }, author = {Trioni, Andrea}, isbn = {978-3-99078-067-1}, issn = {2663-337X}, pages = {202}, publisher = {Institute of Science and Technology Austria}, title = {{High-impedance quantum circuits for mesoscopic physics : Geometric superinductors and insulating Josephson Chains}}, doi = {10.15479/AT-ISTA-20371}, year = {2025}, } @phdthesis{20364, author = {Giannini, Caterina}, issn = {2663-337X}, keywords = {Auxin Signaling, Plant Development}, pages = {151}, publisher = {Institute of Science and Technology Austria}, title = {{Nuclear and cell surface auxin signaling in A. thaliana developmental transitions}}, doi = {10.15479/AT-ISTA-20364}, year = {2025}, } @phdthesis{20339, abstract = {This thesis investigates the interplay between algebraic and topological methods and combinatorial problems, focusing on approximate graph colourings and mass partitioning. The unifying theme throughout the dissertation is the use of continuous maps and symmetry constraints to extract combinatorial insights. We first explore approximate graph colouring problems and more generally promise constraint satisfaction problems. Using tools from equivariant topology in combination with the general theory of polymorphism of a promise constraint satisfaction problem, we establish hardness for specific types of approximations. In the second part, we address mass partitioning problems, where one seeks to divide geometric objects or measures in Euclidean space into parts of equal size using hyperplanes. Employing techniques from topological combinatorics (configuration space/test map setup and Borsuk–Ulam type theorems), we both obtain a new equipartitioning result in the and provide a fast algorithm for computing equipartitioning of point sets in 3D. }, author = {Tasinato, Gianluca}, issn = {2663-337X}, pages = {106}, publisher = {Institute of Science and Technology Austria}, title = {{Topological methods in discrete geometry and theoretical computer science : Measure partitioning and constraint satisfaction problems}}, doi = {10.15479/AT-ISTA-20339}, year = {2025}, } @phdthesis{19684, abstract = {The overarching goal of this thesis is to break down the complexity of turbulent flows in terms of enumerable, coherent structures and patterns. In a five-paper series, we adopt a variety of perspectives and techniques to relate the properties of systems of increasing complexity to their underlying coherent structures. Initially, we take a dynamical systems point of view, seeing turbulent flow as a chaotic trajectory bouncing between exact unstable solutions of the underlying equations of motion. Using persistent homology, the main tool of topological data analysis capturing the persistence across scales of topological features in a point cloud, we introduce a method that quantifies visits of turbulent trajectories to unstable time-periodic solutions, also called periodic orbits. We demonstrate this method first in the Rössler and Kuramoto–Sivashinsky systems. Using this method in 3D Kolmogorov flow, we extract a Markov chain from turbulent data, where each node corresponds to the neighbourhood of a periodic orbit. The invariant distribution of this Markov chain reproduces expectation values on turbulent data when it is used to weight averages on the respective periodic orbits. In more realistic, wall-bounded settings, such as plane-Couette flow (pcf) driven by the relative motion of the walls, or plane-Poiseuille flow (ppf) driven by a pressure gradient, finding exact solutions is difficult. We use dynamic mode decomposition (DMD), a dimensionality reduction method for sequential data, to identify and approximate low-dimensional dynamics without knowing any exact solutions. Most spatially-extended systems are equivariant under translations, and in such cases spatial drifts dominate DMD, hindering its use in the search for and modelling of low-dimensional dynamics. We augment DMD with a symmetry reduction method trained on turbulent data to stop it from seeing translations as a feature, improving its ability to extract dynamical information in translation-equivariant systems. We find segments of turbulent trajectories that linearize well with their symmetry-reduced DMD spectra, akin to dynamics near exact solutions. Searching for harmonics in the spectra gives leads for periodic orbits with spatial drifts, one of which converges to a new solution. In larger domains, turbulence can localize and coexist with surrounding laminar flow. Our preceding approaches are global, taking all of a domain into account at once, and cannot readily treat each localized patch individually. Working first in a minimal oblique domain that can host a single 1D-localized turbulent patch, we find that turbulence in ppf is connected to a stable periodic orbit at a flow velocity much lower than when turbulence is first onset. We show that, well in advance of sustained turbulence, chaos sets in explosively, and for long time horizons, time series are consistent with that of a random process. Finally, in much larger domains, we study and compare 2D-localized turbulence that appears as large-scale inclined structures, called stripes, in ppf and pcf. While appearing similar, we find that stripes in these two settings differ significantly in terms of how they sustain themselves, and in higher velocities, how they proliferate.}, author = {Yalniz, Gökhan}, issn = {2663-337X}, pages = {155}, publisher = {Institute of Science and Technology Austria}, title = {{Transition to turbulence : Data-, solution-, and pattern-driven approaches}}, doi = {10.15479/AT-ISTA-19684}, year = {2025}, } @phdthesis{20798, author = {Wald, Sebastian}, isbn = {978-3-99078-075-6}, issn = {2663-337X}, keywords = {entanglement-enhanced atom interferometry, cavity QED, spin-squeezing, dipole trap, quantum optics}, pages = {152}, publisher = {Institute of Science and Technology Austria}, title = {{Atoms in a propagating-wave cavity for squeezed Mach-Zehnder atom interferometry}}, doi = {10.15479/AT-ISTA-20798}, year = {2025}, } @phdthesis{20777, author = {Zivadinovic, Predrag}, issn = {2663-337X}, pages = {104}, publisher = {Institute of Science and Technology Austria}, title = {{Scale-free activity as a basis for spatial learning and memory in the brain}}, doi = {10.15479/AT-ISTA-20777}, year = {2025}, } @phdthesis{19456, abstract = {Making decisions requires flexibly adapting to changing environments, a process that depends on accurately interpreting current contingencies and integrating them with past experience. Two brain regions are particularly critical for this process, the medial prefrontal cortex (mPFC) and the hippocampus. Using contextual information from the hippocampus, the mPFC selects relevant cognitive frameworks and suppresses irrelevant ones to guide appropriate actions. Several studies have shown that some mPFC pyramidal neurons become spatially tuned when spatial information is required to guide goal-directed behavior. However, the role of prefrontal spatial representations in learning and decision making is not well understood. This work aims to characterize the role of mPFC spatial tuning in supporting a contextual association task. Rats were trained to learn two cue–location associations on a radial arm maze over multiple days, while we simultaneously recorded from dorsal CA1 of the hippocampus and the prelimbic area of the mPFC. We describe a subset of spatially tuned hippocampal and prefrontal pyramidal neurons that “flicker” between multiple spatial representations on different trials, suggesting dynamic, context-dependent coding. This flickering may provide a substrate for how the network reorganizes in response to task demands, likely by enabling the flexible evaluation of competing representations. }, author = {Cumpelik, Andrea D}, isbn = {978-3-99078-056-5}, issn = {2663-337X}, keywords = {neuroscience, decision making, learning, cognitive flexibility, medial prefrontal cortex, hippocampus, electrophysiology}, pages = {96}, publisher = {Institute of Science and Technology Austria}, title = {{The role of prefrontal spatial coding in supporting a contextual association task}}, doi = {10.15479/AT-ISTA-19456}, year = {2025}, } @phdthesis{19993, abstract = {Ants are frequently challenged by different pathogens, which they counter with individual and collective responses. Usually, the pathogens like fungi or viruses are solitary and passive pathogens transmitted from host to host. Here, we use a nematobacterial pathogen complex to study worm-borne disease in black garden ants. These entomopathogenic nematodes are active parasites with an own behavior and chasing pray. In the first chapter, we investigated the basic biology of the host-pathogen relationship. We tested different ant life stages and found that adult ants display defense behaviors and are generally resistant to nematode infection, whereas brood is highly susceptible. In the case of worker pupae, we found a slight protective effect of the cocoon. When larvae are accompanied by adults, meaning a queen or a group of workers, survival is significantly enhanced. Moreover, we found that nematodes can transmit from infected cadavers to healthy worker larvae, confirming a transmissible disease in ants. Again, worker presence significantly reduces transmission risk. In the end, we were also able to disentangle the pathogen system and investigate the pathogenic effect of the bacterial and nematode components. In the second chapter, we studied the effect of multiple infections in adult queens and queen larvae. By multiple exposures in the mode of coinfection and superinfections, we wanted to assess the detrimental effect of combined fungal and nematode exposure to better understand how the pathogens interact with each other in an ant host. We found instances where combined exposure lead to higher mortality in a given time frame in both, adult queens and queen larvae. Overall entomopathogenic nematodes are a promising model to study worm infections in ants which extend our knowledge on collective disease defense.}, author = {Strahodinsky, Florian}, issn = {2663-337X}, pages = {138}, publisher = {Institute of Science and Technology Austria}, title = {{Social immunity in a tri-partite host-pathogen relationship}}, doi = {10.15479/AT-ISTA-19993}, year = {2025}, } @phdthesis{19906, abstract = {Flows of ordinary fluids such as water or air transition from laminar to turbulent motion as the velocity increases. This simple dependence of the flow state solely on inertia, does not apply to more complex substances such as polymericand biofluids which commonly have elastic as well as viscous properties. Here various different instabilities and turbulent states can arise at low and even vanishing inertia, while high inertia turbulence counterintuitively is suppressed and its drag strongly reduced. We here show in experiments of a viscoelastic model fluid that the phenomena observed at low and high inertia have a common origin and that the same dynamical state, elasto-inertial turbulence, persists across four orders of magnitude in Reynolds number, ranging from very low inertia, all the way to high inertia Maximum drag reduction (MDR) asymptote. We also explore the transitions from Newtonian turbulence to MDR, and specific cases of flow at high polymer concentrations, exploring the relationship between flow at these wide range of control parameters. }, author = {Suresh, Sarath S}, issn = {2663-337X}, pages = {82}, publisher = {Institute of Science and Technology Austria}, title = {{Turbulence in polymeric flows : A characterisation of elasto-inertial turbulence and the maximum drag reduction asymptote}}, doi = {10.15479/AT-ISTA-19906}, year = {2025}, } @phdthesis{19763, abstract = {Pattern formation in developing organs is controlled by morphogens. These signalling molecules form concentration gradients across tissues, thereby providing positional information that instructs the pattern of cell differentiation. Morphogen gradients are highly dynamic in space and time. Many factors such as morphogen production, spreading, degradation, cellular rearrangements and others could contribute to changes in the gradient shape, yet how the spatiotemporal signalling dynamics arise in many systems is still unclear. We studied the dynamics of morphogen signalling and tissue patterning in the developing vertebrate neural tube. In this system, neural crest, roof plate and distinct dorsal progenitor subtypes are specified in a spatially and temporally ordered manner in response to dorsal-toventral gradients of BMP and WNT signalling activity. How the BMP and WNT gradients are established and interpreted to ensure ordered cell specification is poorly understood. To address this question, we developed a 2D embryonic stem cell differentiation system that captures key features of dorsal neural tube development. In this system, differentiated colonies display remarkable self-organised pattern formation in response to uniformly applied BMP ligand. We established a method of differentiating the colonies using microfabricated stencils, which allowed us to control the initial size and shape of colonies without confining cell migration and colony growth. This led to highly reproducible pattern formation that facilitates quantification. Using this approach, we observed striking two-phase temporal dynamics of BMP signalling in our colonies: a BMP gradient rapidly forms from the periphery to the centre of colonies, subsequently disappears and is re-established again in the second phase. By combining our quantitative data with a data-driven theoretical model, we uncovered a temporal relay mechanism that underlies this biphasic BMP signalling dynamics. The first signalling phase is controlled by fast tissue-autonomous negative feedback that restricts the duration of the initial response to BMP. The early BMP activity gradient moreover controls the spatial organisation of the cell type pattern: the absence of a first phase results in disordered cell type pattern. The second phase is controlled by slow positive regulation of BMP signalling by the transcription factor LMX1A, a key regulator of roof plate identity. WNT promotes the second phase of BMP signalling via positive feedback on LMX1A. Altogether, the mechanism that we uncovered ensures the coupling of sequential developmental events, making pattern formation spatially and temporally organised. Furthermore, this mechanism allows the BMP signalling pathway to be reused in different contexts – first for the establishment of the neural plate border, and subsequently for dorsal neural progenitor patterning. Our study supports a general developmental principle in which multiple morphogens interact with transcriptional networks resulting in complex spatiotemporal signalling dynamics that ultimately drive organised pattern formation.}, author = {Rus, Stefanie}, issn = {2663-337X}, pages = {129}, publisher = {Institute of Science and Technology Austria}, title = {{Dynamics of morphogen signalling and cell fate decisions in the dorsal neural tube}}, doi = {10.15479/AT-ISTA-19763}, year = {2025}, } @phdthesis{18871, abstract = {"Can we do this with a new type of computer - a quantum computer?". This famous quotation of the brilliant Richard Feynman within a conference talk on "Simulating physics with computers.” is often reverently praised as the origin of the field of quantum computing. The idea was to use quantum mechanical systems itself to simulate "Nature", which is inherently quantum mechanical. Now, 43 years later, the theoretical framework of how such a computer can operate has been developed. Two main important concepts for a potential quantum supremacy, superposition and entanglement, have been exploited to design quantum algorithms to significantly speed up certain tasks. Yet, the specific hardware implementation is still far from being certain, in fact the race between the most promising platforms such as superconducting qubits, bosonic codes, cold atoms, trapped ions, optical computing as well as spin qubits has recently intensified. If one also includes the most mature applications of quantum communication technologies, secure quantum key distribution and quantum random number generators, as part of a quantum information technology ecosystem, we are confronted with a plethora of different materials, concepts, and also operation frequencies. While superconducting qubits, bosonic codes and spin qubits work in the regime of approximately 5 GHz and are controlled by electrical fields, trapped ions, cold atoms, and optical quantum computing operate with light in the infrared or visible range. Consequently, a quantum frequency converter or microwave-optic transducer is required to interface the different frequency domains or establish a long-range network connection with suitable telecom fibers. In fact, the combination of different frequency regimes is also an essential part in our classical modern communication network, where computations are performed in electrical circuits and the information exchange over longer distances happens via optical fibers. However, the specific challenges specific to building a quantum computer, also apply to the development of such a quantum frequency transducer: 1) As we deal with single excitations as the carrier of information, i.e. the smallest possible quantity, the signal can easily be corrupted by other noise sources which needs to be avoided by all means. This is also the reason why microwave quantum computers operate at temperature environments close to zero temperature (< 0.1 Kelvin) to avoid corruption by thermal noise. 2) The frequency interface generally needs to preserve the phase of the signal as an essential part of the quantum state. And 3) Quantum signals cannot be copied which would be a typical strategy to account for errors in classical computers. And finally, there is a challenge specific to microwave-optic transducers: While quantum computers are operating in one specific frequency domain, microwave-optic transducers combine microwave and optical fields in one device. This results in the particular challenge that high-energy optical radiation, which is usually well-shielded from superconducting microwave quantum processors, are now an essential part of the device. The concomitant optical radiation in the operating transducer will inevitably have a detrimental effect on the superconducting microwave components. Together with the requirement of minimal background noise for quantum-limited operation as described above, v heating from the absorption of optical photons within the same device where single microwave excitations are processed forms a formidable challenge. This thesis aims to address this challenge by developing microwave-optic transducers where the impact of optical absorption on superconducting circuits in general and superconducting qubits specifically can be mitigated. In our first approach, we developed a compact device with optimized interaction strengths between the different frequency domains. This minimizes the optical powers used for transducer operation and thus the optical absorption heating. This work was - to the best of our knowledge - the first comprehensive noise study, in an integrated microwave-optic transducer. Unfortunately, we saw that the optical absorption heating added noise way above a single excitation. Consequently, a potential quantum signal would have been buried in the noise, added by the transduction. Building on this insight, we utilized a three-dimensional microwave-optic transducer instead of an integrated device. The larger heat capacity of the macroscopic device with a size of a few millimeters can absorb a larger fraction of the optical heating before it increases the temperature of the device. This allowed us to interface the transducer directly with a superconducting qubit to readout the qubit state in a novel all-optical manner. We showed that the microwave-optic transducer can be operated in a regime in which optical fields don’t harm the sensitive qubit. This is an important prerequisite for the operation of microwave-optic transducers in conjunction with microwave quantum processors and brings the integration and seamless orchestration of different frequency components in a quantum network a step closer. }, author = {Arnold, Georg M}, issn = {2663-337X}, pages = {135}, publisher = {Institute of Science and Technology Austria}, title = {{Microwave-optic interconnects for superconducting circuits}}, doi = {10.15479/at:ista:18871}, year = {2025}, } @phdthesis{20694, abstract = {Understanding the mechanisms underlying speciation is a central aim of evolutionary biology. A persistent challenge in the field is to identify loci that contribute to reproductive isolation, while disentangling signals of selection from demography, linkage and intrinsic genomic features. Traditional population genomic approaches that rely on site-based statistics in arbitrary fixed windows face inherent limitations, as they conflate historical and contemporary processes of divergence and overlook haplotype structure. Recent advances in whole-genome sequencing and methods to infer ancestral recombination graphs (ARGs) now offer the opportunity to study genealogical relationships explicitly, revealing how lineages coalesce and recombine through time. By directly analysing haplotype clustering by species or phenotype and their patterns of coalescence, ARG-based methods show promise for diagnosing sweeps, identifying barrier loci maintained under divergent selection amid gene flow, and tracing their evolutionary history. In this thesis, I explore the utility of genealogical approaches for studying species divergence. In chapter 2, I propose a conceptual framework for defining haplotype blocks through the structure of the ARG, using simulations and empirical data to highlight how genealogical processes generate rich and often overlooked haplotypic patterns. In chapter 3, I examine the genomic basis of a key evolutionary innovation in marine snails Littorina. These snails offer a unique opportunity to study an innovation because they include a very recent transition from egg-laying to live bearing, yet snails with the different reproductive modes are not reciprocally monophyletic. I exploited this by using topology clustering in ARG-derived local genealogical trees to pinpoint narrow genomic regions or haplotype blocks that carry swept alleles, thus revealing that the transition from egg-laying to live-bearing involves multiple, live-bearer-specific sweeps. Chapter 4 establishes a population-scale, phased genomic resource for Antirrhinum majus, using cost-effective haplotagging, then optimizes imputation from low-coverage data against high-accuracy KASP sequencing to maximize sequence completeness with modest accuracy trade-offs against a traditional short-read sequence pipeline. A hybrid phasing strategy combines molecular phasing with statistical phasing to generate phased whole genome sequences of 1084 Antirrhinum individuals at a fraction of long-read sequencing costs. In chapter 5, I analyse hybridising populations from two replicate hybrid zones to find a parallel genetic basis of flower colour, amidst the noise in genomic differentiation landscape driven by variation in demographic history. While outlier genome scans of FST failed to dissect the causes of differentiation, ARG-based topology clustering revealed a reuse of colour associated haplotypes across hybrid zones. In addition to the biological insight, this chapter also presents a comparison of the latest ARG inference tools, showing that signals of Abstract viii topological clustering qualitatively agree between methods, despite differences in the tree sequences. Next, in chapter 6, by leveraging ~1000 individuals in one of the hybrid zones, I integrated genome-wide association studies of floral pigmentation with genealogical inference, to test for additional colour loci, and confirm the effect of previously described loci. This work demonstrates that flower colour variation is driven by a small number of large effect loci, while also hinting at the presence of a new candidate regulatory factor. Finally in chapter 7, in a preliminary analysis, I begin to dissect the genomic island of speciation around Rosea/Eluta to understand its evolutionary origins. My results show that it consists of 5 highly divergent loci, each of which is associated with flower colour. Using patterns of coalescence in genealogical trees, I find evidence of staggered selective sweeps and a persistent localized barrier to gene flow within an otherwise permeable genome. Together, these chapters add to the increasing pool of studies using genealogical approaches to complement and extend site-based statistics to use haplotype structures in speciation research. By tracking haplotypes directly and connecting genealogical clustering to population processes, ARG-based inference promises to provide new insights into how local selective pressures, demographic history, and long-term barriers interact to shape the genomic architecture of divergence. By underscoring the value of ARGs in revealing the finescale origins and maintenance of biodiversity, this thesis presents cautious optimism about the benefits of using genealogical inference to learn more than what site-based statistics could tell us.}, author = {Pal, Arka}, issn = {2663-337X}, pages = {268}, publisher = {Institute of Science and Technology Austria}, title = {{Using genealogies to study the genomic basis of species divergence}}, doi = {10.15479/AT-ISTA-20694}, year = {2025}, } @phdthesis{19836, abstract = {Over the past century, researchers have been fascinated by the quantum nature of the physical world, initially striving to understand its fundamental principles and consequences, and eventually progressing toward engineering systems that can control and manipulate quantum properties. Today, we stand at the dawn of the quantum technology era. While some quantum technologies follow well-defined roadmaps, others are still in the exciting and uncertain early stages of development. In the fields of quantum computing and quantum simulation, research is being conducted across a wide variety of platforms. Each of these demonstrates control over quantum properties but also faces challenges in scaling up to the level of a mature technology. This thesis explores some of the fundamental properties of hole spin qubits in planar germanium. Semiconductor spin qubits are considered strong candidates for the realization of quantum processors, owing to their long relaxation and coherence times, as well as their compatibility with existing semiconductor industry infrastructure. Among these, hole spin qubits in planar germanium are particularly promising. Their advantages include a large effective mass, which eases fabrication constraints; inherent protection from hyperfine noise; and strong spin-orbit interaction, which enables fast and purely electrical control. However, spin-orbit coupling also introduces site-dependent variability across qubits, particularly in the g-tensors and spin-flip tunneling, which might cause that the quantization axes are not aligned. In this thesis, we investigate the tilt between the quantization axes of two hole spins hosted in a double quantum dot as a function of both the magnetic field direction and various electrostatic configurations, demonstrating that both parameters influence this tilt. We conclude by introducing a machine-learning-assisted routine to automatically tune baseband spin qubits. This approach may prove to be a powerful tool for characterizing spin-orbit effects and gaining deeper insight into the physics governing spin qubit behavior. }, author = {Saez Mollejo, Jaime}, issn = {2663-337X}, pages = {175}, publisher = {Institute of Science and Technology Austria}, title = {{Singlet-triplet qubits in planar Germanium : From exchange anisotropies to autonomous tuning }}, doi = {10.15479/AT-ISTA-19836}, year = {2025}, } @phdthesis{20470, abstract = {Systems design has classically relied on composable systems, in which individual subsystems have defined inputs, outputs, and interactions with each other; however, attempts at designing complex systems in synthetic biology has often run in to issues of crosstalk and interference, given that these systems must function within the context of the host. In nature, mobile genetic elements are systems that have evolved to travel between hosts, and thus appear to be a good candidate with which to evaluate composability. Selecting temperate phages as a model system, I used mathematical modelling to identify sources of information that temperate phages should respond to. I found that essential proteins of temperate phages can interfere with potential hosts, indicating limitations to composability. I also designed a lysogeny reporter construct and characterize its behavior across various laboratory and environmental strains, finding differences in phage lambda lysogens, and potential interference from prophages that already exist within the environmental strains. Although the information gathered is not conclusive, it suggests that composability is not a key property of temperate phages, implying that biological systems may not be composable, and that other system design principles should be considered when designing synthetic systems.}, author = {Wu, Bryan}, issn = {2663-337X}, pages = {102}, publisher = {Institute of Science and Technology Austria}, title = {{An examination on phages as a naturally composable system}}, doi = {10.15479/AT-ISTA-20470}, year = {2025}, } @phdthesis{19533, abstract = {This thesis explores advancements in quantum remote sensing and non-equilibrium phase transitions in the microwave regime, with a focus on dissipative phase transitions and quantumenhanced sensing. In the first project, I experimentally studied photon blockade breakdown as a dissipative phase transition in a zero-dimensional cavity-qubit system. By defining an appropriate thermodynamic limit, we demonstrated that the observed bistability is a genuine signature of a first-order phase transition in this system. This work provides insight into non-equilibrium quantum dynamics and phase transitions in driven-dissipative open quantum systems. The second project focuses on the experimental realization of a phase-conjugate receiver for quantum illumination (QI), a quantum sensing protocol that enhances target detection in noisy environments using entangled light. While an ideal spontaneous parametric down-conversion (SPDC) source and receiver could, in theory, provide up to a 6 dB advantage over classical illumination, no such ideal receiver exists. Instead, we explore an experimental realization of a phase-conjugate receiver for QI in the microwave regime at millikelvin temperatures using a Josephson parametric converter (JPC) as a source of continuous-variable Gaussian entangled signal-idler pairs, where a maximum 3 dB advantage is theoretically achievable. We investigate key experimental limitations that constrain practical QI performance, contributing to the development of quantum-enhanced sensing. Additionally, this thesis presents efficient digital signal processing (DSP) techniques implemented in C++ and Python in collaboration with Przemysław Zieliński and Luka Drmić. These methods, optimized using the Intel Integrated Performance Primitives (IPP) library, have been essential in data acquisition, noise filtering, and correlation analysis across multiple research projects. Although not real-time, these DSP techniques significantly enhance the accuracy of quantum measurements. Overall, this thesis advances quantum-enhanced sensing by establishing the thermodynamic limit in a single transmon-cavity system and experimentally exploring a phase-conjugate receiver for QI. These findings contribute to quantum metrology, particularly for weak signal detection and remote sensing in noisy environments. }, author = {Sett, Riya}, issn = {2663-337X}, keywords = {phase transition, open quantum system, phase diagram, cavity quantum electrodynamics, superconducting qubits, semiclassical physics, quantum optics, josephson junction, parametric converter, phase conjugation, quantum radar, quantum entanglement, correlation, quantum sensing}, pages = {109}, publisher = {Institute of Science and Technology Austria}, title = {{ Quantum remote sensing and non-equilibrium phase transitions in the microwave regime}}, doi = {10.15479/AT-ISTA-19533}, year = {2025}, } @phdthesis{19745, abstract = {Cell migration is a crucial process in animal development and maintenance. It is incredibly heterogeneous, with different cell types utilizing fundamentally distinct migration strategies. The strategies also depend on the cellular microenvironment, where cells can switch between migration modes as they encounter new environmental cues. In this thesis, we investigated how dendritic cells adapt their migration strategy when encountering geometrically, mechanically and chemically distinct environments. When dendritic cells are embedded in a homogeneous fibrous network, they migrate in a fast and directional amoeboid manner. In this migration strategy, extracellular proteolysis and integrin-mediated adhesions are dispensable. Instead, the cells use topography of the environment to propel their cell body forward. To migrate efficiently in the maze of different pore sizes, they position the nucleus ahead of the microtubule organizing center (MTOC) and use it to gauge the pores to identify the path of least resistance. Our aim was to identify whether dendritic cells adapt their migration strategy when encountering asymmetrical transitions into much denser environments with limited choice of large pores. In such invasive transitions it is unclear if the cells can cross tight pores without the use of adhesions and extracellular proteolysis and whether they maintain the nucleus in the cell front. Using various cell migration assays such as fibrous 3D collagen gels, geometrically defined microchannels with constrictions and simplistic under agarose migration assay, we provide a comprehensive characterization of invasive migration of dendritic cells. We show that during invasion the cells stall and stretch, reflecting the difficulty to translocate the bulky cell body into the dense environment. In collagen gels, we show that dendritic cells can invade without proteolysis and adhesions. Instead, they utilize contractility, which can lead to largescale collagen compressions. During invasion, the nucleus stalls at tight constrictions, leading to a transient organelle reorientation. To resolve the stalling, upregulated rear contractility is required. This contractile force is simultaneously necessary for reverting the nucleus back to the cell front after invasion and maintaining this positioning during permissive migration. A functional role of the reorientation was uncovered in the first collaboration project. A prominent central actin pool was identified around the MTOC, especially pronounced in dense and compressive environments. The actin pool was shown to generate pushing forces to dilate the space for cell translocation. These forces are only necessary in non-permissive environments, where the nucleus reorients to the cell rear, allowing the actin pool to generate space. In permissive environments where space generation is dispensable, the MTOC is located behind the nucleus and the actin cloud has reduced intensity, allowing more actin to be incorporated into the lamellipodium, speeding up migration. In the second collaboration project, we investigated the effects of distinct chemical environments on dendritic cell migration. The strikingly persistent migration of these cells was explained by their ability to modulate and even self-generate chemokine gradients. This allows the cells to migrate faster and more persistent in uniform chemokine fields compared to imposed chemokine gradients. The chemokine receptor CCR7 was identified as a crucial player in this process, both sensing the signal and internalizing the chemokine to create a sink.}, author = {Canigova, Nikola}, isbn = {978-3-99078-058-9}, issn = {2663-337X}, pages = {133}, publisher = {Institute of Science and Technology Austria}, title = {{Adaptive strategies of dendritic cell migration in response to environmental cues}}, doi = {10.15479/AT-ISTA-19745}, year = {2025}, } @phdthesis{20449, abstract = {Males and females of many species differ in morphology, physiology, and behavior. In taxa with genetic sex determination, sexual differentiation arises largely from sex-biased gene expression, which varies across tissues, developmental stages, and lineages. Increasing evidence highlights chromatin configuration, which can exist in open or closed states, and can be shaped by sex-determination path ways, as a key regulatory layer of this dimorphism. Degeneration of the Y or W chromosome further contributes to sex -specific differences by altering gene copy numbers relative to autosomes in heterogametic sex. To mitigate these imbalances, many eukaryotes have independently evolved dosage compensation mechanisms, often mediated through chromatin -level regulation. In this thesis, we investigate the evolutionary dynamics of sex chromosome differentiation in two species, Artemia franciscana and Cameraria ohridella , with a particular focus on the extent of dosage compensation following gene loss in the heterogametic sex and the potential chromatin-based mechanisms underlying this process. We further characterize sex -biased gene expression and its regulation through histone modifications. Our analyses also reveal that the A. franciscana genome is highly repetitive, with many genes containing intronic transposable elements. We find that enrichment of histonemo difications associated with constitutive heterochromatin, positively correlates with variation in gene expression levels. Collectively, these findings underscore role of chromatin regulation in shaping the evolution of sex chromosomes and sexual differentiation. }, author = {Bett, Vincent K}, issn = {2663-337X}, pages = {114}, publisher = {Institute of Science and Technology Austria}, title = {{Evolution and regulation of the Z chromosome}}, doi = {10.15479/AT-ISTA-20449}, year = {2025}, } @phdthesis{19722, abstract = {As root epidermal cells progress from a phase of elongation to differentiation, their cortical microtubule (MT) arrays exhibit a transversal-to-longitudinal reorientation. The hormone cytokinin, a key regulator of root development, facilitates these cytoskeletal changes. However, the molecular mechanisms underlying hormone-mediated MT reorientation during root development are still unknown. Here, we find that MT reorientation in root cells differs from the existing model in hypocotyl cells, as it does not rely on MT plusend rescue. We show that cytokinin facilitates MT array reorganization during cell differentiation by promoting katanin’s (KTN1) severing activity, and by modulating KTN1’s association with microtubules. Cytokinin regulates SPIRAL2 (SPR2) in a phosphorylationdependent manner, directing its localization to, and stabilization of, the new MT minus-end created by katanin-mediated severing at crossovers. Notably, our findings suggest that dynamic and reversible phosphorylation at S579 of SPR2 is crucial for the proper functioning of the MT severing machinery. Finally, we identify MAP65-1 and CLASP as additional targets of cytokinin-dependent phosphoregulation. Cytokinin treatment decreases MT-MAP65-1 association in elongating cells, likely to expose MTs to KTN1-mediated severing, whereas it increases MT-CLASP association to stabilize the growing plus-end. In this way, cytokinin drives MT reorganization during cell development by simultaneously modulating several microtubule-associated proteins. These results reveal key molecular players in hormonemediated cytoskeletal regulation, and highlight protein phosphorylation as a powerful tool during this process.}, author = {Inumella, Syamala}, isbn = {978-3-99078-059-6}, issn = {2663-337X}, pages = {113}, publisher = {Institute of Science and Technology Austria}, title = {{Molecular mechanisms of microtubule reorganization in elongating root epidermal cells}}, doi = {10.15479/AT-ISTA-19722}, year = {2025}, } @phdthesis{20563, abstract = {The theory of optimal transport provides an elegant and powerful description of many evolution equations as gradient flows. The primary objective of this thesis is to adapt and extend the theory to deal with important equations that are not covered by the classical framework, specifically boundary value problems and kinetic equations. Additionally, we establish new results in periodic homogenization for discrete dynamical optimal transport and in quantization of measures. Section 1.1 serves as an invitation to the classical theory of optimal transport, including the main definitions and a selection of well-established theorems. Sections 1.2-1.5 introduce the main results of this thesis, outline the motivations, and review the current state of the art. In Chapter 2, we consider the Fokker–Planck equation on a bounded set with positive Dirichlet boundary conditions. We construct a time-discrete scheme involving a modification of the Wasserstein distance and, under weak assumptions, prove its convergence to a solution of this boundary value problem. In dimension 1, we show that this solution is a gradient flow in a suitable space of measures. Chapter 3 presents joint work with Giovanni Brigati and Jan Maas. We introduce a new theory of optimal transport to describe and study particle systems at the mesoscopic scale. We prove adapted versions of some fundamental theorems, including the Benamou–Brenier formula and the identification of absolutely continuous curves of measures. Chapter 4 presents joint work with Lorenzo Portinale. We prove convergence of dynamical transportation functionals on periodic graphs in the large-scale limit when the cost functional is asymptotically linear. Additionally, we show that discrete 1-Wasserstein distances converge to 1-Wasserstein distances constructed from crystalline norms on R d . Chapter 5 concerns optimal empirical quantization: the problem of approximating a measure by the sum of n equally weighted Dirac deltas, so as to minimize the error in the p-Wasserstein distance. Our main result is an analog of Zador’s theorem, providing asymptotic bounds for the minimal error as n tends to infinity. }, author = {Quattrocchi, Filippo}, issn = {2663-337X}, keywords = {optimal transport, kinetic equations, boundary value problems, quantization, gradient flows, homogenization}, pages = {240}, publisher = {Institute of Science and Technology Austria}, title = {{Optimal transport methods for kinetic equations, boundary value problems, and discretization of measures}}, doi = {10.15479/AT-ISTA-20563}, year = {2025}, } @phdthesis{17225, abstract = {This thesis describes the development of an atom interferometer designed to exploit the advantages of utilizing quantum entanglement for enhanced precision measurements beyond the standard quantum limit. While the project remains ongoing, significant progress has been made. A key contribution of this work is the development of Quantrol, an experimental control system leveraging the ARTIQ framework. This software enables precise timing and control without requiring prior knowledge of ARTIQ’s implementation details or coding experience. The interface offers user friendly visual comprehension of the experimental sequence and extended capabilities, allowing researchers to scan variables with a simple click of a mouse. The main proposed project is to implement atom interferometric sequence with squeezed input states inside of a dipole trap generated by a high finesse cavity. The presence of the dipole trap allows one dimensional atomic cloud split while maintaining relatively strong confinement in other directions. We are currently able to trap and cool 87Rb atoms to few micro kelvin temperatures, load them into the dipole trap and state prepare them to be used for squeezing and interferometric sequence.}, author = {Li, Vyacheslav}, issn = {2663-337X}, pages = {79}, publisher = {Institute of Science and Technology Austria}, title = {{Towards a quantum entanglement enhanced atom interferomter}}, doi = {10.15479/at:ista:17225}, year = {2024}, }