56 citations · 135 across the 7 of their papers we have counts for
7 papers
Optimized Distribution of Entanglement Graph States in Quantum Networks
Xiaojie Fan, Caitao Zhan, Himanshu Gupta +1
Building large-scale quantum computers, essential to demonstrating quantum advantage, is a key challenge. Quantum Networks (QNs) can help address this challenge by enabling the con…
Optimizing Initial State of Detector Sensors in Quantum Sensor Networks
Caitao Zhan, Himanshu Gupta, Mark Hillery
In this paper, we consider a network of quantum sensors, where each sensor is a qubit detector that "fires," i.e., its state changes when an event occurs close by. The change in st…
Quantum Sensor Network Algorithms for Transmitter Localization
Caitao Zhan, Himanshu Gupta
A quantum sensor (QS) is able to measure various physical phenomena with extreme sensitivity. QSs have been used in several applications such as atomic interferometers, but few app…
Discrete outcome quantum sensor networks
Mark Hillery, Himanshu Gupta, Caitao Zhan
We model a quantum sensor network using techniques from quantum state discrimination. The interaction between a qubit detector and the environment is described by a unitary operato…
DeepAlloc: CNN-Based Approach to Efficient Spectrum Allocation in Shared Spectrum Systems
Mohammad Ghaderibaneh, Caitao Zhan, Himanshu Gupta
Shared spectrum systems facilitate spectrum allocation to unlicensed users without harming the licensed users; they offer great promise in optimizing spectrum utility, but their ma…
DeepMTL Pro: Deep Learning Based MultipleTransmitter Localization and Power Estimation
Caitao Zhan, Mohammad Ghaderibaneh, Pranjal Sahu +1
In this paper, we address the problem of Multiple Transmitter Localization (MTL). MTL is to determine the locations of potential multiple transmitters in a field, based on readings…