Blog
Quantum Speed Limits in Qubit Dynamics Driven by Bistable Random Telegraph Noise: From Markovian to Non-Markovian Regimes
We investigate the quantum speed limit (QSL) of a single superconducting qubit subjected to pure dephasing induced by bistable random telegraph noise (RTN), a common environmental disturbance in solid state quantum systems. Using an exactly solvable model, we explore how the interplay...
Fast Higher-Order Interpolation and Restriction in ExaHyPE Avoiding Non-physical Reflections
Wave equations help us to understand phenomena ranging from earthquakes to tsunamis. These phenomena materialise over very large scales. It would be computationally infeasible to track them over a regular mesh. Yet, since the phenomena are localised, adaptive mesh refinement (AMR) can...
EFFACT: A Highly Efficient Full-Stack FHE Acceleration Platform
Fully Homomorphic Encryption (FHE) is a set of powerful cryptographic schemes that allows computation to be performed directly on encrypted data with an unlimited depth. Despite FHE’s promising in privacy-preserving computing, yet in most FHE schemes, ciphertext generally blows up thousands of...
Delayed Keen Model with Inflation
Keen’s model describes the dynamics between wage share, employment rate and debt ratio. In literature, the model was extended to represent the effects of inflation and also the speculative money flow. Based on the inflationary model, we take into account a time...
Characterization and ex vivo application of flexible 2D scintillating coatings in ultra-high dose rate electron beams for FLASH radiotherapy
The increasing interest in FLASH-RT has lead to the conversion of linear accelerators to enable ultra-high dose rate (UHDR) beams for preclinical research. Dosimetry hereof remains challenging with several crucial aspects missing. This work shows the challenges for real-time 2D UHDR dosimetry,...
Predictive Synthesis of Control Barrier Functions and its Application to Time-Varying Constraints
This paper presents a systematic method for synthesizing a Control Barrier Function (CBF) that encodes predictive information into a CBF. Unlike other methods, the synthesized CBF can account for changes and time-variations in the constraints even when constructed for time-invariant constraints. This...
Eccentric or circular? A reanalysis of binary black hole gravitational wave events for orbital eccentricity signatures
We present a reanalysis of 17 gravitational-wave events detected with Advanced LIGO and Advanced Virgo in their first three observing runs, using the new IMRPhenomTEHM model — a phenomenological time-domain multipolar waveform model for aligned-spin black-hole binaries in elliptical orbits with two...
Causal machine learning for high-dimensional mediation analysis using interventional effects mapped to a target trial
Causal mediation analysis examines causal pathways linking exposures to disease. The estimation of interventional effects, which are mediation estimands that overcome certain identifiability problems of natural effects, has been advanced through causal machine learning methods, particularly for high-dimensional mediators. Recently, it has...
Hyperbolic nonlinear Schrödinger equations on $\mathbb{R}\times \mathbb{T}$
In this paper, we consider the hyperbolic nonlinear Schr\”odinger equations (HNLS) on $\mathbb{R}\times\mathbb{T}$. We obtain the sharp local well-posedness up to the critical regularity for cubic nonlinearity and in critical spaces for higher odd nonlinearities. Moreover, when the initial data is small,...
Gaussian behaviors: representations and data-driven control
We propose a modeling framework for stochastic systems based on Gaussian processes. Finite-length trajectories of the system are modeled as random vectors from a Gaussian distribution, which we call a Gaussian behavior. The proposed model naturally quantifies the uncertainty in the trajectories,...