output
20132026
most citedEdge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing

654 citations

Showing quant-phShow all

110 papers · 1 filter

quant-ph2026

Analytical model for structured light propagation through a turbulent atmosphere

Konstantin Kravtsov

We develop a straightforward analytical framework for the propagation of spatial light modes through a turbulent atmosphere. Built upon the split-step approach with the mode-based…

quant-ph2025

Anticoncentration is (almost) all you need

Markus Heinrich, Jonas Haferkamp, Ingo Roth +1

Until very recently, it was generally believed that the (approximate) 2-design property is strictly stronger than anticoncentration of random quantum circuits, mainly because it wa…

quant-ph2025★ 2 cited

Qudit low-density parity-check codes

Daniel J. Spencer, Andrew Tanggara, Tobias Haug +2

Qudits offer significant advantages over qubit-based architectures, including more efficient gate compilation, reduced resource requirements, improved error-correction primitives,…

quant-ph2025

Magnetic-Field and Temperature Limits of a Kinetic-Inductance Traveling-Wave Parametric Amplifier

Lucas M. Janssen, Farzad Faramarzi, Henry G. LeDuc +5

Kinetic-inductance traveling-wave parametric amplifiers (KI-TWPAs) offer broadband near-quantum-limited amplification with high saturation power. Due to the high critical magnetic…

quant-ph2025

Rydberg atoms for electric field gradiometry

Philip Kitson, Wayne J. Chetcuti, Gerhard Birkl +2

We propose a quantum sensor for electric fields based on networks of Rydberg atoms. The sensing mechanism exploits the strong dependence of the Rydberg blockade on the applied elec…

quant-ph2025

Quantifying mixed-state entanglement via partial transpose and realignment moments

Poetri Sonya Tarabunga, Tobias Haug

Entanglement plays a crucial role in quantum information science and many-body physics, yet quantifying it in mixed quantum many-body systems has remained a notoriously difficult p…