38 citations · 87 across the 18 of their papers we have counts for
18 papers
Machine Learning based Optimization of CV-QKD Under Practical Constraints
Svitlana Matsenko, Amirhossein Ghazisaeidi, Marcin Jarzyna +4
Practical hardware limitations, including finite transmitter and receiver filter lengths as well as the finite resolution of digital-to-analog and analog-to-digital converters, lea…
Sequential Neural Probabilistic Amplitude Shaping: Learning the Channel's Language
Mohammad Taha Askari, Lutz Lampe, Amirhossein Ghazisaeidi
We present the first neural probabilistic amplitude shaping that outperforms existing methods while accounting for all implementation losses, using a block-less, easily implementab…
Optimization of CV-QKD Under Practical Constraints
Svitlana Matsenko, Amirhossein Ghazisaeidi, Marcin Jarzyna +2
Using reinforcement learning, we optimize for practical hardware constraints, including limited FIR filter taps at the transmitter and receiver, mean photon number and finite DAC/A…
Neural Probabilistic Amplitude Shaping for Nonlinear Fiber Channels
Mohammad Taha Askari, Lutz Lampe, Amirhossein Ghazisaeidi
We introduce neural probabilistic amplitude shaping, a joint-distribution learning framework for coherent fiber systems. The proposed scheme provides a 0.5 dB signal-to-noise ratio…
Accurate and Effective Model for Coexistence of Classical and Quantum Signals In Optical Fibers
Lucas Alves Zischler, Çağla Özkan, Tristan Vosshenrich +10
The rising interest in quantum-level communication has resulted in proposals for coexistence schemes with classical signals within the same fiber optic channel, where the most rece…
Neural Probabilistic Shaping: Joint Distribution Learning for Optical Fiber Communications
Mohammad Taha Askari, Lutz Lampe, Amirhossein Ghazisaeidi
We present an autoregressive end-to-end learning approach for probabilistic shaping on nonlinear fiber channels. Our proposed scheme learns the joint symbol distribution and provid…
Mode Mismatch Mitigation in Gaussian-Modulated CV-QKD
Svitlana Matsenko, Amirhossein Ghazisaeidi, Marcin Jarzyna +4
Technical limitations in pulse shaping lead to mode mismatch, which significantly reduces the secure key rate in CV-QKD systems. To address this, a machine learning approach is emp…
Tx-Rx Mode Mismatch Effects in Gaussian-Modulated CV QKD
Mateusz Kucharczyk, Michal Jachura, Marcin Jarzyna +2
The impact of technical limitations on pulse shaping used to generate a CV QKD signal is quantified in terms of the attainable secure key rate. Optimization of key spectral efficie…
Complexity-Aware Theoretical Performance Analysis of SDM MIMO Equalizers
Roya Gholamipourfard, Amirhossein Ghazisaeidi, Ruby Stella Bravo Ospina
We propose a theoretical framework to compute, rapidly and accurately, the signal-to-noise ratio at the output of spatial-division multiplexing (SDM) linear MIMO equalizers with ar…
Experimental Demonstration of Discrete Modulation Formats for Continuous Variable Quantum Key Distribution
François Roumestan, Amirhossein Ghazisaeidi, Jérémie Renaudier +4
Quantum key distribution (QKD) enables the establishment of secret keys between users connected via a channel vulnerable to eavesdropping, with information-theoretic security, that…
High-Rate Continuous Variable Quantum Key Distribution Based on Probabilistically Shaped 64 and 256-QAM
François Roumestan, Amirhossein Ghazisaeidi, Jérémie Renaudier +3
We designed a CV-QKD system with off-the-shelf components and established the feasibility of distributing 67.6 and 66.8 Mb/s secret key rates on average over a 9.5 km SMF link, usi…
Demonstration of Probabilistic Constellation Shaping for Continuous Variable Quantum Key Distribution
François Roumestan, Amirhossein Ghazisaeidi, Jérémie Renaudier +3
We demonstrate, for the first time to our knowledge, continuous-variable quantum key distribution using probabilistically-shaped 1024-QAM and true local oscillator, achieving 38.3M…
On the Comparison of Single-Carrier vs. Digital Multi-Carrier Signaling for Long-Haul Transmission of Probabilistically Shaped Constellation Formats
Kaoutar Benyahya, Amirhossein Ghazisaeidi, Vahid Aref +6
We report on theoretical and experimental investigations of the nonlinear tolerance of single carrier and digital multicarrier approaches with probabilistically shaped constellatio…
Design Optimisation of Power-Efficient Submarine Line through Machine Learning
Maria Ionescu, Amirhossein Ghazisaeidi, Jérémie Renaudier +2
An optimised subsea system design for energy-efficient SDM operation is demonstrated using machine learning. The removal of gain-flattening filters employed in submarine optical am…
Equalization Enhanced Phase Noise in Coherent Receivers: DSP-Aware Analysis and Shaped Constellations
Aymeric Arnould, Amirhossein Ghazisaeidi
We revisit the analysis of equalization-enhanced phase noise (EEPN) arising in coherent receivers from the interaction between the chromatic dispersion compensation by an electroni…
Exploring and Experimenting with Shaping Designs for Next-Generation Optical Communications
Fanny Jardel, Tobias A. Eriksson, Cyril Méasson +4
A class of circular 64-QAM that combines 'geometric' and 'probabilistic' shaping aspects is presented. It is compared to square 64-QAM in back-to-back, single-channel, and WDM tran…
Coherent WDM Systems Using in-Line Semiconductor Optical Amplifiers
Amirhossein Ghazisaeidi
A theory of nonlinear signal propagation in multi-span wavelength division multiplexed coherent transmission systems that employ the semiconductor optical amplifier as in-line ampl…
A Theory of Nonlinear Signal-Noise Interactions in Wavelength Division Multiplexed Coherent Systems
Amirhossein Ghazisaeidi
A general theory of nonlinear signal-noise interactions for wavelength division multiplexed fiber-optic coherent transmission systems is presented. This theory is based on the regu…