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20172026
most citedSignificantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization

296 citations · 1k across the 84 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

quant-ph2019★ 136 cited

Full-State Quantum Circuit Simulation by Using Data Compression

Xin-Chuan Wu, Sheng Di, Emma Maitreyee Dasgupta +4

Quantum circuit simulations are critical for evaluating quantum algorithms and machines. However, the number of state amplitudes required for full simulation increases exponentiall…

cs.CV2019★ 68 cited

DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression

Sian Jin, Sheng Di, Xin Liang +3

DNNs have been quickly and broadly exploited to improve the data analysis quality in many complex science and engineering applications. Today's DNNs are becoming deeper and wider b…