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quant-ph2026

Advances in quantum learning theory with bosonic systems

Francesco Anna Mele

This paper reviews recent advances in quantum learning theory for continuous-variable (CV) systems. Quantum learning theory investigates how to extract classical information from q…

quant-ph2025

Impact of Information on Quantum Heat Engines

Lindsay Bassman Oftelie, Michele Campisi

The emerging field of quantum thermodynamics is beginning to reveal the intriguing role that information can play in quantum thermal engines. Information enters as a resource when…

quant-ph2025★ 1 cited

Overcoming disorder in superconducting globally driven quantum computing

Riccardo Aiudi, Julien Despres, Roberto Menta +5

We study the impact of static disorder on a globally-controlled superconducting quantum computing architecture based on a quasi-two-dimensional ladder geometry [R. Menta et al., Ph…

quant-ph2025★ 2 cited

Quantifying complexity of continuous-variable quantum states via Wehrl entropy and Fisher information

Siting Tang, Francesco Albarelli, Yue Zhang +2

The notion of complexity of quantum states is quite different from uncertainty or information contents, and involves the tradeoff between its classical and quantum features. In thi…

quant-ph2025

Statistical Characterization of Entanglement Degradation Under Markovian Noise in Composite Quantum Systems

Nunzia Cerrato, Sauro Succi, Giacomo De Palma +1

Understanding how noise degrades entanglement is crucial for the development of reliable quantum technologies. While the Markovian approximation simplifies the analysis of noise, i…

quant-ph2025★ 4 cited

Non-Clifford Cost of Random Unitaries

Lorenzo Leone, Salvatore F. E. Oliviero, Alioscia Hamma +2

Recent years have enjoyed a strong interest in exploring properties and applications of random quantum circuits. In this work, we explore the ensemble of -doped Clifford circuit…