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Quantum capacities of transducers [PDF]
Nature Communications, 2022 High-performance quantum transducers, which faithfully convert quantum information between disparate physical carriers, are essential in quantum science and technology.
Chiao-Hsuan Wang +2 more
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Energy-Constrained LOCC-Assisted Quantum Capacity of the Bosonic Dephasing Channel [PDF]
Entropy, 2023 We study the LOCC-assisted quantum capacity of a bosonic dephasing channel with energy constraint on the input states. We start our analysis by focusing on the energy-constrained squashed entanglement of the channel, which is an upper bound for the ...
Amir Arqand +2 more
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Capacity and Quantum Geometry of Parametrized Quantum Circuits [PDF]
PRX Quantum, 2021 To harness the potential of noisy intermediate-scale quantum devices, it is paramount to find the best type of circuits to run hybrid quantum-classical algorithms.
Tobias Haug, Kishor Bharti, M.S. Kim
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On the complementary quantum capacity of the depolarizing channel [PDF]
Quantum, 2017 The qubit depolarizing channel with noise parameter $\eta$ transmits an input qubit perfectly with probability $1-\eta$, and outputs the completely mixed state with probability $\eta$.
Debbie Leung, John Watrous
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Bounding the quantum capacity with flagged extensions [PDF]
Quantum, 2022 In this article we consider flagged extensions of convex combination of quantum channels, and find general sufficient conditions for the degradability of the flagged extension.
Farzad Kianvash +2 more
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Information transmission with continuous variable quantum erasure channels [PDF]
Quantum, 2023 Quantum capacity, as the key figure of merit for a given quantum channel, upper bounds the channel's ability in transmitting quantum information. Identifying different types of channels, evaluating the corresponding quantum capacity, and finding the ...
Changchun Zhong +2 more
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Optimal storage capacity of quantum Hopfield neural networks
Physical Review Research, 2023 Quantum neural networks form one pillar of the emergent field of quantum machine learning. Here quantum generalizations of classical networks realizing associative memories—capable of retrieving patterns, or memories, from corrupted initial states—have ...
Lukas Bödeker +2 more
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Quantum codes from neural networks
New Journal of Physics, 2020 We examine the usefulness of applying neural networks as a variational state ansatz for many-body quantum systems in the context of quantum information-processing tasks.
Johannes Bausch, Felix Leditzky
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Coherent information of a quantum channel or its complement is generically positive [PDF]
Quantum, 2022 The task of determining whether a given quantum channel has positive capacity to transmit quantum information is a fundamental open problem in quantum information theory.
Satvik Singh, Nilanjana Datta
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Quantum transduction is enhanced by single mode squeezing operators
Physical Review Research, 2022 Quantum transduction is an essential ingredient in scaling up distributed quantum architecture and is actively pursued based on various physical platforms.
Changchun Zhong +4 more
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