Zobrazeno 1 - 10
of 157
pro vyhledávání: '"Karthik, A. N."'
Autor:
Sudha, Devi, A. R. Usha, Karthik, B. N., Karthik, H. S., H, Akshata Shenoy, Mallesh, K. S., Rao, A. V. Gopala
The Bloch sphere provides an elegant way of visualizing a qubit. Analogous representation of the simplest composite state of two-qubits has attracted significant attention. Here we present a detailed mathematical analysis of the real-matrix parametri
Externí odkaz:
http://arxiv.org/abs/2402.09258
We study best arm identification in a restless multi-armed bandit setting with finitely many arms. The discrete-time data generated by each arm forms a homogeneous Markov chain taking values in a common, finite state space. The state transitions in e
Externí odkaz:
http://arxiv.org/abs/2310.13393
Extending the mathematical framework of Phys. Rev. A 102, 052419 (2020) we construct Lorentz invariant quantities of pure three-qubit states. This method serves as a bridge between the well-known local unitary (LU) invariants viz. concurrences and th
Externí odkaz:
http://arxiv.org/abs/2310.02900
We study best arm identification in a variant of the multi-armed bandit problem where the learner has limited precision in arm selection. The learner can only sample arms via certain exploration bundles, which we refer to as boxes. In particular, at
Externí odkaz:
http://arxiv.org/abs/2305.06082
Publikováno v:
IEEE Transactions on Information Theory, 2023
We study best arm identification in a federated multi-armed bandit setting with a central server and multiple clients, when each client has access to a {\em subset} of arms and each arm yields independent Gaussian observations. The goal is to identif
Externí odkaz:
http://arxiv.org/abs/2210.07780
We study the problem of best arm identification in a federated learning multi-armed bandit setup with a central server and multiple clients. Each client is associated with a multi-armed bandit in which each arm yields {\em i.i.d.}\ rewards following
Externí odkaz:
http://arxiv.org/abs/2208.09215
We study the problem of identifying the best arm in a multi-armed bandit environment when each arm is a time-homogeneous and ergodic discrete-time Markov process on a common, finite state space. The state evolution on each arm is governed by the arm'
Externí odkaz:
http://arxiv.org/abs/2203.15236
Publikováno v:
Quanta 2021; 10: 34-41
In their seminal paper (Phys. Rev.121, 920 (1961)) Sudarshan, Mathews and Rau investigated properties of the dynamical $A$ and $B$ maps acting on $n$ dimensional quantum systems. Nature of the dynamical maps in open quantum system evolutions has attr
Externí odkaz:
http://arxiv.org/abs/2109.10409
Autor:
Karthik, P. N., Sundaresan, Rajesh
This paper studies the problem of finding an anomalous arm in a multi-armed bandit when (a) each arm is a finite-state Markov process, and (b) the arms are restless. Here, anomaly means that the transition probability matrix (TPM) of one of the arms
Externí odkaz:
http://arxiv.org/abs/2105.03603
Autor:
Karthik, P. N., Sundaresan, Rajesh
In this paper, we consider a multi-armed bandit in which each arm is a Markov process evolving on a finite state space. The state space is common across the arms, and the arms are independent of each other. The transition probability matrix of one of
Externí odkaz:
http://arxiv.org/abs/2005.06255