Zobrazeno 1 - 10
of 980
pro vyhledávání: '"Pandey, Vivek"'
What would be a reasonable definition of the conditional entropy of bipartite quantum processes, and what novel insight would it provide? We develop this notion using four information-theoretic axioms and define the corresponding quantitative formula
Externí odkaz:
http://arxiv.org/abs/2410.01740
Nodal line semimetals, a class of topological quantum materials, exhibit a variety of novel phenomena due to their properties, such as bands touching on a one-dimensional line or a ring in the Brillouin zone and drumhead-like surface states. In addit
Externí odkaz:
http://arxiv.org/abs/2409.17653
Publikováno v:
Europhysics Letters 146, 60001 (2024)
Given the initial and final states of a quantum system, the speed of transportation of state vector in the projective Hilbert space governs the quantum speed limit. Here, we ask the question what happens to the quantum speed limit under continuous me
Externí odkaz:
http://arxiv.org/abs/2406.09004
Traditional quantum speed limits formulated in density matrix space perform poorly for dynamics beyond unitary, as they are generally unattainable and fail to characterize the fastest possible dynamics. To address this, we derive two distinct quantum
Externí odkaz:
http://arxiv.org/abs/2406.08584
Autor:
Pandey, Vivek, Pandey, Sudhir K.
This work verifies the existence of dispersive \textit{nodal-arcs} and their evolution into Weyl nodes under the effect of spin-orbit coupling (SOC) in NbAs & NbP. The obtained features mimic the observations as reported for TaAs & TaP in our previou
Externí odkaz:
http://arxiv.org/abs/2403.18169
Quantum information processing and computing tasks can be understood as quantum networks, comprising quantum states and channels and possible physical transformations on them. It is hence pertinent to estimate the change in informational content of q
Externí odkaz:
http://arxiv.org/abs/2403.12947
Autor:
Pandey, Vivek, Amini, Arash, Liu, Guangyi, Topcu, Ufuk, Sun, Qiyu, Daniilidis, Kostas, Motee, Nader
We address the problem of sparse selection of visual features for localizing a team of robots navigating an unknown environment, where robots can exchange relative position measurements with neighbors. We select a set of the most informative features
Externí odkaz:
http://arxiv.org/abs/2403.12279
This work proposes a novel approach to bolster both the robot's risk assessment and safety measures while deepening its understanding of 3D scenes, which is achieved by leveraging Radiance Field (RF) models and 3D Gaussian Splatting. To further enhan
Externí odkaz:
http://arxiv.org/abs/2403.11396
We introduce a novel data-driven method to mitigate the risk of cascading failures in delayed discrete-time Linear Time-Invariant (LTI) systems. Our approach involves formulating a distributionally robust finite-horizon optimal control problem, where
Externí odkaz:
http://arxiv.org/abs/2310.12021
Achieving safety is a critical aspect of attaining autonomy in a platoon of autonomous vehicles. In this paper, we propose a distributionally robust risk framework to investigate cascading failures in platoons. To examine the impact of network connec
Externí odkaz:
http://arxiv.org/abs/2309.04922