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Optimal Quantum Dataset for Learning a Unitary Transformation
Unitary transformations formulate the time evolution of quantum states. How to learn a unitary transformation efficiently is a …
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Bounding the forward classical capacity of bipartite quantum channels
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Exact entanglement cost of quantum states and channels under positive-partial-transpose-preserving operations
Copyright © 2018, arXiv, All rights reserved. This paper establishes single-letter formulas for the exact entanglement cost of …
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Quantum algorithms for estimating quantum entropies
The von Neumann and quantum Rényi entropies characterize fundamental properties of quantum systems and lead to theoretical and …
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Variational quantum algorithms for trace distance and fidelity estimation
Estimating the difference between quantum data is crucial in quantum computing. However, as typical characterizations of quantum data …
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Physical Implementability of Linear Maps and Its Application in Error Mitigation
Completely positive and trace-preserving maps characterize physically implementable quantum operations. On the other hand, general …
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Practical distributed quantum information processing with LOCCNet
Distributed quantum information processing is essential for building quantum networks and enabling more extensive quantum computations. …
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Variational Quantum Gibbs State Preparation with a Truncated Taylor Series
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Symmetric distinguishability as a quantum resource
We develop a resource theory of symmetric distinguishability, the fundamental objects of which are elementary quantum information …
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Pursuing the Fundamental Limits for Quantum Communication
The quantum capacity of a noisy quantum channel determines the maximal rate at which we can code reliably over asymptotically many uses …
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