Jan 13, 2022 · In this paper, we propose dgQuEST, a novel acceleration method that utilizes the CPU-GPU hybrid memory hierarchies for large-scale quantum ...

Therefore, we propose dgQuEST, a novel acceleration method that utilizes hybrid CPU-GPU memory hierarchies for large-scale quantum circuit simulation across ...

dgQuEST: Accelerating Large Scale Quantum Circuit Simulation through Hybrid CPU-GPU Memory Hierarchies ... Authors: Tianyu Feng; Siyan Chen; Xin You; Shuzhang ...

dgQuEST: Accelerating Large Scale Quantum Circuit Simulation through Hybrid CPU-GPU Memory Hierarchies. T Feng, S Chen, X You, S Zhong, H Yang, Z Luan, D Qian.

Memory-aware scheduling for complex wired networks with ... dgQuEST: Accelerating Large Scale Quantum Circuit Simulation through Hybrid CPU-GPU Memory Hierarchies.

We present Qibo, a new open-source software for fast evaluation of quantum circuits and adiabatic evolution which takes full advantage of hardware ...

Nov 18, 2022 · Evaluations on CPU, GPU, and Sunway platforms show that UniQ can accelerate quantum circuit simulation by up to 28.59× (4.47× on average) over ...

dgQuEST: Accelerating Large Scale Quantum Circuit Simulation through Hybrid CPU-GPU Memory Hierarchies · Hailong YangBeihang University. Show Less. 1 · 2 · 3 ...

QuEST is the first open source, hybrid multithreaded and distributed, GPU accelerated simulator of universal quantum circuits. Embodied as a C library, it is ...