2013
DOI: 10.1364/oe.21.015959
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Large-alphabet time-frequency entangled quantum key distribution by means of time-to-frequency conversion

Abstract: Abstract:We introduce a novel time-frequency quantum key distribution (TFQKD) scheme based on photon pairs entangled in these two conjugate degrees of freedom. The scheme uses spectral detection and phase modulation to enable measurements in the temporal basis by means of time-to-frequency conversion. This allows large-alphabet encoding to be implemented with realistic components. A general security analysis for TFQKD with binned measurements reveals a close connection with finite-dimensional QKD protocols and… Show more

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Cited by 160 publications
(143 citation statements)
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“…The fluctuating wind speed at one single spatial point is simulated by the MS, WAWS, and AR methods, respectively, in the same initial condition listed as follows: the average wind velocity 0 = 31.654 m/s, the number of the sampling points = 1200, time step Δ = 0.1 s, and the measuring point (in meters) is located at (0, 0, 5). The error between the energy [34] of the simulated and theoretical results solved by (17) can assess the accuracy of the simulation method by fast Fourier transform (FFT) [35] and frequency-time conversion methods [36,37]: where ( ) is time series of wind velocity, ( ) the amplitude spectrum obtained from ( ) by FFT, and the lasting time of time series of wind speed. The energy Ω is calculated by the square of the amplitude spectral mode divided by the lasting time .…”
Section: Validation For the Ms Methodmentioning
confidence: 99%
“…The fluctuating wind speed at one single spatial point is simulated by the MS, WAWS, and AR methods, respectively, in the same initial condition listed as follows: the average wind velocity 0 = 31.654 m/s, the number of the sampling points = 1200, time step Δ = 0.1 s, and the measuring point (in meters) is located at (0, 0, 5). The error between the energy [34] of the simulated and theoretical results solved by (17) can assess the accuracy of the simulation method by fast Fourier transform (FFT) [35] and frequency-time conversion methods [36,37]: where ( ) is time series of wind velocity, ( ) the amplitude spectrum obtained from ( ) by FFT, and the lasting time of time series of wind speed. The energy Ω is calculated by the square of the amplitude spectral mode divided by the lasting time .…”
Section: Validation For the Ms Methodmentioning
confidence: 99%
“…In addition, it has been theoretically shown that employing multilevel quantum states (qudits) can increase the robustness of a QKD system against eavesdropping [56,57,11,58]. Although the majority of high-dimensional QKD schemes so far have employed time-bin encoding for increasing the alphabet size [59,60,61,62], it is expected that spatial-mode encoding can be alternatively used to enhance the performance of a QKD system considering the recent advances in free-space OAM communication, .…”
Section: Introductionmentioning
confidence: 99%
“…Among the various photonic degrees of freedom considered for high-dimensional QKD, including position-momentum [5,6], time-energy [7][8][9][10][11][12][13][14][15][16], and orbital angular momentum (OAM) [17][18][19][20], the time-energy basis is particularly appealing for implementations in today's telecommunications infrastructure. Bright time-energy-entangled photon pair sources [21] and fast, efficient detectors [22] have been developed for the telecom band.…”
Section: Introductionmentioning
confidence: 99%