Blog
Random walks on random networks of cliques: Inferring the network structure
We study the properties of discrete-time random walks on networks formed by randomly interconnected cliques, namely, random networks of cliques. Our purpose is to derive the parameters that define the network structure — specifically, the distribution of clique size and the abundance...
Simulating Quantum Circuits with Tree Tensor Networks using Density-Matrix Renormalization Group Algorithm
Quantum computing offers the potential for computational abilities that can go beyond classical machines. However, they are still limited by several challenges such as noise, decoherence, and gate errors. As a result, efficient classical simulation of quantum circuits is vital not only...
From Theory to Practice: Engineering Approximation Algorithms for Dynamic Orientation
Dynamic graph algorithms have seen significant theoretical advancements, but practical evaluations often lag behind. This work bridges the gap between theory and practice by engineering and empirically evaluating recently developed approximation algorithms for dynamically maintaining graph orientations. We comprehensively describe the underlying...
Quantum sensing with spin defects in boron nitride nanotubes
Spin defects in semiconductors are widely investigated for various applications in quantum sensing. Conventional host materials such as diamond and hexagonal boron nitride (hBN) provide bulk or low-dimensional platforms for optically addressable spin systems, but often lack the structural properties needed for...
IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery
The rapid advancement in capabilities of large language models (LLMs) raises a pivotal question: How can LLMs accelerate scientific discovery? This work tackles the crucial first stage of research, generating novel hypotheses. While recent work on automated hypothesis generation focuses on multi-agent...
300 μs optical cavity storage time and $\mathbf{10^{-7}}$ active RAM cancellation for $\mathbf{10^{-19}}$ laser frequency stabilisation
Frequency stabilisation of lasers to optical reference cavities is an established method to achieve state-of-the-art stability. The strengths of this method are the high discriminator coefficient of optical cavities, and the low-noise extraction of the stabilisation signal using modulation techniques. In this...
Identification of quasars variable over long time scales from infrared surveys. Ensemble variability and structure function properties
Quasars are variable and their variability can both constrain their physical properties and help to identify them. We look for ways to efficiently identify quasars exhibiting consistent variability over multi-year time-scales, based on a small number of epochs. Using infrared (IR) is...
DYNUS: Uncertainty-aware Trajectory Planner in Dynamic Unknown Environments
This paper introduces DYNUS, an uncertainty-aware trajectory planner designed for dynamic unknown environments. Operating in such settings presents many challenges — most notably, because the agent cannot predict the ground-truth future paths of obstacles, a previously planned trajectory can become unsafe at...
Search Timelines: Visualizing Search History to Enable Cross-Session Exploratory Search
Purpose: The timespan over which exploratory searching can occur, as well as the scope and volume of the search activities undertaken, can make it difficult for searchers to remember key details about their search activities. These difficulties are present both in the...
Can Automated Feedback Turn Students into Happy Prologians?
Giving personalized feedback to students is very important to the learning process. However, doing so in a timely manner can be difficult to accomplish in very large courses. Recent work has explored different types of automated feedback adapted to different languages and...