no code implementations • 4 Mar 2021 • Kaifeng Bu, Dax Enshan Koh, Lu Li, Qingxian Luo, Yaobo Zhang
Noise in quantum systems is a major obstacle to implementing many quantum algorithms on large quantum circuits.
Quantum Physics
no code implementations • 5 Feb 2021 • Kaifeng Bu, Dax Enshan Koh, Lu Li, Qingxian Luo, Yaobo Zhang
We investigate how the addition of quantum resources changes the statistical complexity of quantum circuits by utilizing the framework of quantum resource theories.
no code implementations • 15 Jan 2021 • Kaifeng Bu, Dax Enshan Koh, Lu Li, Qingxian Luo, Yaobo Zhang
In this work, we apply a particular measure of statistical complexity, namely the Rademacher complexity, to the quantum circuit model in quantum computation and study how the statistical complexity depends on various quantum circuit parameters.
no code implementations • 15 Oct 2020 • Kaifeng Bu, Yaobo Zhang, Qingxian Luo
One of the central problems in the study of deep learning theory is to understand how the structure properties, such as depth, width and the number of nodes, affect the expressivity of deep neural networks.