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Jeffrey H. Shapiro

Researcher at Massachusetts Institute of Technology

Publications -  401
Citations -  20076

Jeffrey H. Shapiro is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Photon & Quantum key distribution. The author has an hindex of 65, co-authored 395 publications receiving 17401 citations.

Papers
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Journal Article

Quantum illumination for enhanced detection of Rayleigh-fading targets

TL;DR: Zhuang et al. as discussed by the authors show that the sum-frequency generation receiver achieves QI's full 6 dB advantage over optimum classical operation for Rayleigh-fading targets, but this performance is subexponential: its error probability is lower than the classical system's.
Proceedings ArticleDOI

Microwave Quantum Radar’s Alphabet Soup: QI, QI-MPA, QCN, QCN-CR

TL;DR: In this paper, the authors disentangle microwave quantum radar's alphabet soup: quantum illumination (QI) radar, quantum illumination with a microwave parametric amplifier receiver, quantum-correlated noise radar with a correlation receiver (QCN-CR), and QI-MPA radar.
Proceedings ArticleDOI

On the performance of the order-truncate-average-ratio spectral filter

TL;DR: A nonlinear processor is described, called the order-truncate-average-ratio spectral filter, that is designed to simultaneously whiten broadband background, preserve intermediate bandwidth features and suppress narrowband interference.
Proceedings ArticleDOI

Mode-locked Phase Coherent Singly-Resonant Biphoton Frequency Comb

TL;DR: In this article , the authors observed spectral phase coherence in a singly-resonant biphoton frequency comb and verified the state's time-energy entanglement by measuring Franson interference in two time-bins that violate the Bell inequality.
Proceedings ArticleDOI

Quantum Theory of Coincidence Counting: Gaussian States and Quantum Interference

TL;DR: In this article, the complete, Gaussian-state characterization of the downconversion process and quantum photodetection theory is used to provide an analytical framework for such measurements.