output
19922026
most citedMachine Learning in Automated Text Categorization

8k citations

Showing quant-phShow all

182 papers · 1 filter

quant-ph2026

Dynamic Entanglement Packet Scheduling for Quantum Networks

Quang-Phong Tran, Claudio Cicconetti, Marco Conti +1

Sharing entanglement among multiple users remains a central challenge for scalable quantum networks. Recent work proposed an on-demand entanglement packet architecture in which a c…

quant-ph2026

Instruction-Set Architecture for Programmable NV-Center Quantum Repeater Nodes

Vinay Kumar, Claudio Cicconetti, Riccardo Bassoli +2

Programmability is increasingly central in emerging quantum network software stacks, yet the node-internal controller-to-hardware interface for quantum repeater devices remains und…

quant-ph2025

Lindbladian approach for many-qubit thermal machines: enhancing the performance with geometric heat pumping by interaction

Gerónimo J. Caselli, Luis O. Manuel, Liliana Arrachea

We present a detailed analysis of slowly driven quantum thermal machines based on interacting qubits within the framework of the Lindblad master equation. By implementing a systema…

quant-ph2025★ 5 cited

Quantum Error Corrected Non-Markovian Metrology

Zachary Mann, Ningping Cao, Raymond Laflamme +1

Quantum metrology aims to maximize measurement precision on quantum systems, with a wide range of applications in quantum sensing. Achieving the Heisenberg limit (HL) - the fundame…

quant-ph2025★ 34 cited

Quantum machine learning with Adaptive Boson Sampling via post-selection

Francesco Hoch, Eugenio Caruccio, Giovanni Rodari +18

The implementation of large-scale universal quantum computation represents a challenging and ambitious task on the road to quantum processing of information. In recent years, an in…

quant-ph2024★ 31 cited

Criticality-Enhanced Quantum Sensing with a Parametric Superconducting Resonator

Guillaume Beaulieu, Fabrizio Minganti, Simone Frasca +4

Quantum metrology, a cornerstone of quantum technologies, exploits entanglement and superposition to achieve higher precision than classical protocols in parameter estimation tasks…