Zobrazeno 1 - 10
of 195
pro vyhledávání: '"Wiśniewski, Rafał"'
Autor:
Agner, Felix, Jensen, Christian Møller, Rantzer, Anders, Kallesøe, Carsten Skovmose, Wisniewski, Rafal
In this paper we consider calibration of hydraulic models for district heating systems based on operational data. We extend previous theoretical work on the topic to handle real-world complications, namely unknown valve characteristics and hysteresis
Externí odkaz:
http://arxiv.org/abs/2407.01386
The feedback-based algorithm for quantum optimization (FALQON) has recently been proposed to solve quadratic unconstrained binary optimization problems. This paper efficiently generalizes FALQON to tackle quadratic constrained binary optimization (QC
Externí odkaz:
http://arxiv.org/abs/2406.08169
We address the problem of determining the least improbable deviations leading to an unsafe rare event in a weakly perturbed mechanical system with probabilistic initial conditions. These deviations are obtained as the solution to a variational proble
Externí odkaz:
http://arxiv.org/abs/2405.13506
Drawing inspiration from the Lyapunov control technique for quantum systems, feedback-based quantum algorithms have been proposed for calculating the ground states of Hamiltonians. In this work, we consider extending these algorithms to tackle calcul
Externí odkaz:
http://arxiv.org/abs/2404.19386
This paper proposes an integrated quantum-classical approach that merges quantum computational dynamics with classical computing methodologies tailored to address control problems based on Pontryagin's minimum principle within a Physics-Informed Neur
Externí odkaz:
http://arxiv.org/abs/2404.15015
Recently, feedback-based quantum algorithms have been introduced to calculate the ground states of Hamiltonians, inspired by quantum Lyapunov control theory. This paper aims to generalize these algorithms to the problem of calculating an eigenstate o
Externí odkaz:
http://arxiv.org/abs/2404.04620
Quantum entanglement stands at the forefront of quantum information science, heralding new paradigms in quantum communication, computation, and cryptography. This paper introduces a quantum optimal control approach by focusing on entanglement measure
Externí odkaz:
http://arxiv.org/abs/2403.16321
In this paper, we present an online reinforcement learning algorithm for constrained Markov decision processes with a safety constraint. Despite the necessary attention of the scientific community, considering stochastic stopping time, the problem of
Externí odkaz:
http://arxiv.org/abs/2403.15928
This paper introduces a Lyapunov-based control approach with homodyne measurement. We study two filtering approaches: (i) the traditional quantum filtering and (ii) a modified version of the extended Kalman filtering. We examine both methods in order
Externí odkaz:
http://arxiv.org/abs/2403.07021
In this work, we consider the problem of online (real-time, single-shot) estimation of static or slow-varying parameters along quantum trajectories in quantum dynamical systems. Based on the measurement signal of a continuously-monitored quantum syst
Externí odkaz:
http://arxiv.org/abs/2403.04648