High-dimensional entanglement is an important physical resource for quantum communication. A basic issue for any communication scheme is how many shared bits two parties can extract subject to experimental noise. We determine the shared information that can be extracted from time-bin entangled photons using frame encoding. We consider photons generated by a general down-conversion source and also model losses, dark counts and the effects of multiple photons within each frame. Furthermore, we describe a procedure for including other imperfections such as after-pulsing, detector dead-times and jitter. The results are illustrated by deriving analytic expressions for the maxi...
High-dimensional photonic entanglement is a promising candidate for error-protected quantum informat...
Noise can be considered the natural enemy of quantum information. An often implied benefit of high-d...
We present a security analysis against collective attacks for a time–energy entanglement-based quant...
High-dimensional entanglement is an important physical resource for quantum communication. A basic i...
A key goal of quantum communication is to determine the maximum number of bits shared between two qu...
High-dimensional entanglement offers promising perspectives in quantum information science. In pract...
We report on the experimental demonstration of high energy-time entanglement in two-photon states cr...
Time-energy entanglement is a quintessential resource for emerging quantum technologies. In this the...
Thesis (Ph. D.)--University of Rochester. Dept. of Physics and Astronomy, 2010.This thesis presents ...
High-dimensional quantum key distribution (QKD) offers the possibility of encoding multiple bits of ...
Abstract High-dimensional quantum entanglement can enrich the functionality of quantum information p...
High-dimensional entanglement is a promising resource for quantum technologies. Being able to certif...
Single photon avalanche diode arrays can provide both the spatial and temporal information of each d...
High-dimensional quantum key distribution (HDQKD) offers the possibility of high secure-key rate wit...
Over the last sixty years, classical information theory has revolutionized the understanding of the ...
High-dimensional photonic entanglement is a promising candidate for error-protected quantum informat...
Noise can be considered the natural enemy of quantum information. An often implied benefit of high-d...
We present a security analysis against collective attacks for a time–energy entanglement-based quant...
High-dimensional entanglement is an important physical resource for quantum communication. A basic i...
A key goal of quantum communication is to determine the maximum number of bits shared between two qu...
High-dimensional entanglement offers promising perspectives in quantum information science. In pract...
We report on the experimental demonstration of high energy-time entanglement in two-photon states cr...
Time-energy entanglement is a quintessential resource for emerging quantum technologies. In this the...
Thesis (Ph. D.)--University of Rochester. Dept. of Physics and Astronomy, 2010.This thesis presents ...
High-dimensional quantum key distribution (QKD) offers the possibility of encoding multiple bits of ...
Abstract High-dimensional quantum entanglement can enrich the functionality of quantum information p...
High-dimensional entanglement is a promising resource for quantum technologies. Being able to certif...
Single photon avalanche diode arrays can provide both the spatial and temporal information of each d...
High-dimensional quantum key distribution (HDQKD) offers the possibility of high secure-key rate wit...
Over the last sixty years, classical information theory has revolutionized the understanding of the ...
High-dimensional photonic entanglement is a promising candidate for error-protected quantum informat...
Noise can be considered the natural enemy of quantum information. An often implied benefit of high-d...
We present a security analysis against collective attacks for a time–energy entanglement-based quant...