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Quantum information theory
Upper Bounds on the Distillable Randomness of Bipartite Quantum States
The distillable randomness of a bipartite quantum state is an information-theoretic quantity equal to the largest net rate at which …
Ludovico Lami
,
Bartosz Regula
,
Xin Wang
,
Mark M. Wilde
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Concentration of Data Encoding in Parameterized Quantum Circuits
Variational quantum algorithms have been acknowledged as the leading strategy to realize near-term quantum advantages in meaningful …
Guangxi Li
,
Ruilin Ye
,
Xuanqiang Zhao
,
Xin Wang
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Quantum Channel Simulation and the Channel's Smooth Max-Information
We study the general framework of quantum channel simulation, that is, the ability of a quantum channel to simulate another one using …
Kun Fang
,
Xin Wang
,
Marco Tomamichel
,
Mario Berta
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DOI
Gaussian quantum resource theories
We develop a general framework to assess capabilities and limitations of the Gaussian toolbox in continuous variable quantum …
Ludovico Lami
,
Bartosz Regula
,
Xin Wang
,
Rosanna Nichols
,
Andreas Winter
,
Gerardo Adesso
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DOI
Probabilistic Distillation of Quantum Coherence
The ability to distill quantum coherence is key for the implementation of quantum technologies; however, such a task cannot always be …
Kun Fang
,
Xin Wang
,
Ludovico Lami
,
Bartosz Regula
,
Gerardo Adesso
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DOI
Approximate broadcasting of quantum correlations
Broadcasting quantum and classical information is a basic task in quantum information processing, and is also a useful model in the …
Wei Xie
,
Kun Fang
,
Xin Wang
,
Runyao Duan
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DOI
Nonadditivity of Rains' bound for distillable entanglement
Rains’ bound is arguably the best known upper bound of the distillable entanglement by operations completely preserving …
Xin Wang
,
Runyao Duan
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DOI
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