9 citations · 20 across the 9 of their papers we have counts for
9 papers
Large-Scale Quantum Circuit Simulation on HPC Cluster via Cache Blocking, Boosting, and Gate Fusion Optimization
Chuan-Chi Wang, Yan-Jie Wang, Chia-Heng Tu +1
Quantum circuit simulation is crucial for the development of quantum algorithms, particularly given the high cost and noise limitations of physical quantum hardware. While full-sta…
QueenV2: Future of Quantum Circuit Simulation
Chuan-Chi Wang
A state vector-based quantum circuit simulation can provide accurate results for the development and validation of quantum computing algorithms, without being affected by noise int…
Queen: A quick, scalable, and comprehensive quantum circuit simulation for supercomputing
Chuan-Chi Wang, Yu-Cheng Lin, Yan-Jie Wang +2
The state vector-based simulation offers a convenient approach to developing and validating quantum algorithms with noise-free results. However, limited by the absence of cache-awa…
Towards Optimizations of Quantum Circuit Simulation for Solving Max-Cut Problems with QAOA
Yu-Cheng Lin, Chuan-Chi Wang, Chia-Heng Tu +1
Quantum approximate optimization algorithm (QAOA) is one of the popular quantum algorithms that are used to solve combinatorial optimization problems via approximations. QAOA is ab…
cuPSO: GPU Parallelization for Particle Swarm Optimization Algorithms
Chuan-Chi Wang, Chun-Yen Ho, Chia-Heng Tu +1
Particle Swarm Optimization (PSO) is a stochastic technique for solving the optimization problem. Attempts have been made to shorten the computation times of PSO based algorithms w…
ResPerfNet: Deep Residual Learning for Regressional Performance Modeling of Deep Neural Networks
Chuan-Chi Wang, Ying-Chiao Liao, Chia-Heng Tu +3
The rapid advancements of computing technology facilitate the development of diverse deep learning applications. Unfortunately, the efficiency of parallel computing infrastructures…