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20182026
most citedExploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry

88 citations

Showing 2022 · quant-phShow all

6 papers · 2 filters

quant-ph2022★ 5 cited

A new operator extension of strong subadditivity of quantum entropy

Ting-Chun Lin, Isaac H. Kim, Min-Hsiu Hsieh

Let be the von Neumann entropy of a density matrix . Weak monotonicity asserts that for any tripartite density matrix $ρ_{…

quant-ph2022★ 13 cited

Doubling the order of approximation via the randomized product formula

Chien Hung Cho, Dominic W. Berry, Min-Hsiu Hsieh

Randomization has been applied to Hamiltonian simulation in a number of ways to improve the accuracy or efficiency of product formulas. Deterministic product formulas are often con…

quant-ph2022★ 88 cited

Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry

Po-Yu Kao, Ya-Chu Yang, Wei-Yin Chiang +8

De novo drug design with desired biological activities is crucial for developing novel therapeutics for patients. The drug development process is time and resource-consuming, and i…

quant-ph2022★ 17 cited

Robust Qubit Mapping Algorithm via Double-Source Optimal Routing on Large Quantum Circuits

Chin-Yi Cheng, Chien-Yi Yang, Yi-Hsiang Kuo +3

Qubit Mapping is a critical aspect of implementing quantum circuits on real hardware devices. Currently, the existing algorithms for qubit mapping encounter difficulties when deali…

quant-ph2022★ 15 cited

Simple and Tighter Derivation of Achievability for Classical Communication over Quantum Channels

Hao-Chung Cheng

Achievability in information theory refers to demonstrating a coding strategy that accomplishes a prescribed performance benchmark for the underlying task. In quantum information t…

quant-ph2022★ 9 cited

Resource Marginal Problems

Chung-Yun Hsieh, Gelo Noel M. Tabia, Yu-Chun Yin +1

We introduce the resource marginal problems, which concern the possibility of having a resource-free target subsystem compatible with a given collection of marginal density matrice…