296 citations · 1k across the 84 of their papers we have counts for
5 papers · 1 filter
Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression
Xin-Chuan Wu, Sheng Di, Franck Cappello +3
In order to evaluate, validate, and refine the design of new quantum algorithms or quantum computers, researchers and developers need methods to assess their correctness and fideli…
Amplitude-Aware Lossy Compression for Quantum Circuit Simulation
Xin-Chuan Wu, Sheng Di, Franck Cappello +3
Classical simulation of quantum circuits is crucial for evaluating and validating the design of new quantum algorithms. However, the number of quantum state amplitudes increases ex…
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP
Dingwen Tao, Sheng Di, Xin Liang +2
With ever-increasing volumes of scientific data produced by HPC applications, significantly reducing data size is critical because of limited capacity of storage space and potentia…
Improving Performance of Iterative Methods by Lossy Checkponting
Dingwen Tao, Sheng Di, Xin Liang +2
Iterative methods are commonly used approaches to solve large, sparse linear systems, which are fundamental operations for many modern scientific simulations. When the large-scale…
Fixed-PSNR Lossy Compression for Scientific Data
Dingwen Tao, Sheng Di, Xin Liang +2
Error-controlled lossy compression has been studied for years because of extremely large volumes of data being produced by today's scientific simulations. None of existing lossy co…