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Variational Quantum Singular Value Decomposition
Singular value decomposition is central to many problems in engineering and scientific fields. Several quantum algorithms have been …
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Noise-Assisted Quantum Autoencoder
Quantum autoencoder is an efficient variational quantum algorithm for quantum data compression. However, previous quantum autoencoders …
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Quantum algorithms for hedging and the learning of Ising models
A paradigmatic algorithm for online learning is the Hedge algorithm by Freund and Schapire. An allocation into different strategies is …
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alpha-logarithmic negativity
© 2020 American Physical Society. The logarithmic negativity of a bipartite quantum state is a widely employed entanglement measure in …
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Cost of Quantum Entanglement Simplified
Quantum entanglement is a key physical resource in quantum information processing that allows for performing basic quantum tasks such …
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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 …
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Time-dependent Hamiltonian simulation with L1-norm scaling
The difficulty of simulating quantum dynamics depends on the norm of the Hamiltonian. When the Hamiltonian varies with time, the …
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Efficiently Computable Bounds for Magic State Distillation
Magic state manipulation is a crucial component in the leading approaches to realizing scalable, fault-tolerant, and universal quantum …
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Resource theory of asymmetric distinguishability
This paper systematically develops the resource theory of asymmetric distinguishability, as initiated roughly a decade ago [K. …
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Resource theory of asymmetric distinguishability for quantum channels
This paper develops the resource theory of asymmetric distinguishability for quantum channels, generalizing the related resource theory …
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