activity
20192022
most citedTitanium Nitride Film on Sapphire Substrate with Low Dielectric Loss for Superconducting Qubits

26 citations · 34 across the 2 of their papers we have counts for

collaborators

5 papers

quant-ph202226 cited

Titanium Nitride Film on Sapphire Substrate with Low Dielectric Loss for Superconducting Qubits

Hao Deng, Zhijun Song, Ran Gao +19

Dielectric loss is one of the major decoherence sources of superconducting qubits. Contemporary high-coherence superconducting qubits are formed by material systems mostly consisti…

quant-ph2020

Free Mode Removal and Mode Decoupling for Simulating General Superconducting Quantum Circuits

Dawei Ding, Hsiang-Sheng Ku, Yaoyun Shi +1

Superconducting quantum circuits is one of the leading candidates for a universal quantum computer. Designing novel qubit and multiqubit superconducting circuits requires the abili…

quant-ph20208 cited

Alibaba Cloud Quantum Development Platform: Surface Code Simulations with Crosstalk

Cupjin Huang, Xiaotong Ni, Fang Zhang +11

We report, in a sequence of notes, our work on the Alibaba Cloud Quantum Development Platform (AC-QDP). AC-QDP provides a set of tools for aiding the development of both quantum co…

cond-mat.str-el2019

Automatic Differentiation for Second Renormalization of Tensor Networks

Bin-Bin Chen, Yuan Gao, Yi-Bin Guo +7

Tensor renormalization group (TRG) constitutes an important methodology for accurate simulations of strongly correlated lattice models. Facilitated by the automatic differentiation…

cs.LG2019

Compressing deep neural networks by matrix product operators

Ze-Feng Gao, Song Cheng, Rong-Qiang He +4

A deep neural network is a parametrization of a multilayer mapping of signals in terms of many alternatively arranged linear and nonlinear transformations. The linear transformatio…