Efficient Implementation of Interior-Point Methods for Quantum Relative Entropy. Quantum Relative Entropy (QRE) programming is a recently popular and challenging class of convex optimization problems with significant applications in quantum computing and quantum information theory.
Dec 12, 2023
Mar 9, 2024 · Quantum Relative Entropy (QRE) programming is a recently popular and challenging class of convex optimization problems with significant ...
The paper discusses modern interior-point methods for optimizing over the QRE cone, introducing techniques to improve gradient and Hessian computations.
Dec 12, 2023 · EFFICIENT IMPLEMENTATION OF INTERIOR-POINT METHODS FOR ... involving the quantum relative entropy (QRE) cone using interior-point methods.
Efficient Implementation of Interior-Point Methods for Quantum... Quantum Relative Entropy (QRE) programming is a recently popular and challenging class of ...
Jun 28, 2024 · In this paper, we show how common structures arising from applications in quantum information theory can be exploited to improve the efficiency ...
Dec 13, 2023 · Efficient Implementation of Interior-Point Methods for Quantum Relative Entropy. #1. Mehdi Karimi. ,. Levent Tuncel. (Dec 12, 2023). e-Print ...
This step is typically the bottleneck when solving quantum relative entropy programs using interior-point methods, and therefore improving the efficiency of ...
Apr 9, 2024 · Using these techniques, we present the first numerical experiments to compute a multi-qubit quantum rate-distortion function, and show that our ...
Sep 8, 2022 · We use this to develop an efficient, accurate algorithm. The stable reformulation is based on novel forms of facial reduction, FR, for both the ...
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