Simulating Large-Scale Quantum Computing Systems with High-Speed Non-Volatile Memory Arrays
The ability to simulate large-scale quantum circuits is important to developing quantum computing systems. We developed software and related performance optimization techniques to simulate large-scale quantum computing systems with non-volatile memory arrays. Compared with the practice of using solid-state disks as virtual memory to increase the simulation scale, we greatly improve the simulation speed by optimizing parallel computing scheduling, data access patterns, and re-grouping quantum circuits. The resulted speed is close to memory-based simulation with QuEST, but is capable of simulating much larger quantum computing systems, which is the most scalable and cost-effective quantum computing system simulation software available today.
Intelligent Quick Structural Safety Screening System based on Neural Network Entropy and Convolution Neural Network
Integrated Multiple Machine Learning and Deep Learning Algorithms to Construct Prediction Model of Incident Cardiac Dysrhythmia and Coronary Heart Disease
Improving the Efficiency of Dysarthria Voice Conversion System by the Data Augmentation Approach
Constructing an Advanced Weakly Supervised Learning-based Patching Model to Detect Lung Nodules in Chest X-ray Images
Technology maturity:Prototype
Exhibiting purpose:Display of scientific results
Trading preferences:Technical license/cooperation、Negotiate by self
Coming soon!