2024/09/29 by Daniel Silver, Tirthak Patel, Silver, Daniel +3 · 2 citations
Computer Science · Materials Science · #Quantum Computing Algorithms and Architecture #Machine Learning in Materials Science
paper · pdf · doi:10.48550/arxiv.2409.19820
As quantum computing architecture matures, it is important to investigate new technologies that lend unique advantages. In this work, we propose, Qompose, a neutral atom quantum computing framework for efficiently composing quantum circuits on 2-D topologies of neutral atoms. Qompose selects an efficient topology for any given circuit in order to optimize for length of execution through efficient parallelism and for overall fidelity. our extensive evaluation demonstrates the Qompose is effective for a large collection of randomly-generated quantum circuits and a range of real-world benchmarks including VQE, ISING, and QAOA.