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20042026
most citedInformational derivation of Quantum Theory

627 citations · 8k across the 176 of their papers we have counts for

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Showing 2026 · quant-phShow all

9 papers · 2 filters

quant-ph2026

Unbounded separation between definite and indefinite causal order in finite-dimensional quantum metrology

Yanglin Hu, Zi-Shen Li, Giulio Chiribella +1

Indefinite causal order is known to offer enhancements in quantum metrology, notably including an unbounded advantage in the measurement of a geometric phase of a harmonic oscillat…

quant-ph2026

Higher-order quantum thermodynamics: equilibrium and causal structure

Simon Milz, Kyrylo Simonov, Zoltán Zimborás +3

Quantum thermodynamics is traditionally formulated as a theory of equilibrium states and state transformations. Recent advances in higher-order quantum transformations, which descr…

quant-ph2026

Virtual quantum neural networks

Benchi Zhao, Xuanqiang Zhao, Yinan Li +2

Quantum neural networks are a prominent model of quantum machine learning. Their training consists in the minimization of a given loss function over a parametrized family of quantu…

quant-ph2026

Learning to Reconstruct Wigner Functions in Phase Space

Xinyu Tang, Yi-hsin Lin, Yan Zhu +5

Wigner function learning is a central tool for characterizing continuous variable quantum systems. A fundamental challenge in this setting is to infer a continuous phase-space func…

quant-ph2026

Quantum learning with a single-atom sensor

Yin Mo, Emilio Bagan, Giulio Chiribella

The ability to gather information and to act upon it is at the core of every learning agent. But what is the impact of quantum mechanics on an agent's ability to sense external inp…

quant-ph2026

On-Chip Quantum Randomness Amplification

Lang Li, Yutian Wu, Giulio Chiribella +1

Randomness amplification, the task of extracting uniform private bits from biased seeds that may be partly known by a malicious third party, is of central importance in cryptograph…