494 citations · 4.5k across the 123 of their papers we have counts for
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Quantum Versus Classical Advantages in Secret Key Distillation (and Their Links to Quantum Entanglement)
Eric Chitambar, Benjamin Fortescue, Min-Hsiu Hsieh
We consider the extraction of shared secret key from correlations that are generated by either a classical or quantum source. In the classical setting, two honest parties (Alice an…
Relating the Resource Theories of Entanglement and Quantum Coherence
Eric Chitambar, Min-Hsiu Hsieh
Quantum coherence and quantum entanglement represent two fundamental features of non-classical systems that can each be characterized within an operational resource theory. In this…
Fully Quantum Source Compression with a Quantum Helper
Min-Hsiu Hsieh, Shun Watanabe
We study source compression with a helper in the fully quantum regime, extending our earlier result on classical source compression with a quantum helper [arXiv:1501.04366, 2015].…
A Classical Analog to Entanglement Reversibility
Eric Chitambar, Ben Fortescue, Min-Hsiu Hsieh
In this letter we introduce the problem of secrecy reversibility. This asks when two honest parties can distill secret bits from some tripartite distribution and transfor…
Distributions Attaining Secret Key at a Rate of the Conditional Mutual Information
Eric Chitambar, Ben Fortescue, Min-Hsiu Hsieh
In this paper we consider the problem of extracting secret key from an eavesdropped source at a rate given by the conditional mutual information. We investigate this ques…
Source Compression with a Quantum Helper
Min-Hsiu Hsieh, Shun Watanabe
We study classical source coding with quantum side-information where the quantum side-information is observed by a helper and sent to the decoder via a classical channel. We derive…
The Learnability of Unknown Quantum Measurements
Hao-Chung Cheng, Min-Hsiu Hsieh, Ping-Cheng Yeh
Quantum machine learning has received significant attention in recent years, and promising progress has been made in the development of quantum algorithms to speed up traditional m…