activity
20172023
most citedTopologically Protected Quantum Entanglement

10 citations · 26 across the 13 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.DS2020★ 3 cited

Deterministic Distributed Expander Decomposition and Routing with Applications in Distributed Derandomization

Yi-Jun Chang, Thatchaphol Saranurak

There is a recent exciting line of work in distributed graph algorithms in the model that exploit expanders. All these algorithms so far are based on two tools:…

cs.DS2020

The Energy Complexity of BFS in Radio Networks

Yi-Jun Chang, Varsha Dani, Thomas P. Hayes +1

We consider a model of energy complexity in Radio Networks in which transmitting or listening on the channel costs one unit of energy and computation is free. This simplified model…

quant-ph2020★ 4 cited

Protecting Quantum Superposition and Entanglement with Photonic Higher-Order Topological Crystalline Insulator

Yao Wang, Bi-Ye Xie, Yong-Heng Lu +10

Higher-order topological insulator, as a newly found non-trivial material and structure, possesses a topological phase beyond the bulk-boundary correspondence. Here, we present an…

cond-mat.mes-hall2020

Observing Movement of Dirac Cones from Single-Photon Dynamics

Yong-Heng Lu, Yao Wang, Yi-Jun Chang +6

Graphene with honeycomb structure, being critically important in understanding physics of matter, exhibits exceptionally unusual half-integer quantum Hall effect and unconventional…

quant-ph2020

Quantum Slide and NAND Tree on a Photonic Chip

Yao Wang, Zi-Wei Cui, Yong-Heng Lu +5

In the age of post-Moore era, the next-generation computing model would be a hybrid architecture consisting of different physical components such as photonic chips. In 2008, it has…

cs.DS2020

Streaming Complexity of Spanning Tree Computation

Yi-Jun Chang, Martin Farach-Colton, Tsan-Sheng Hsu +1

The semi-streaming model is a variant of the streaming model frequently used for the computation of graph problems. It allows the edges of an -node input graph to be read sequen…