Qompose: A Technique to Select Optimal Algorithm- Specific Layout for Neutral Atom Quantum Architectures
Daniel Silver, Tirthak Patel, Devesh Tiwari
TL;DR
Qompose tackles the problem of topology selection for neutral-atom quantum architectures by predicting the most effective 2-D atom topology for a given circuit. It combines quantum descriptors with PageRank-inspired features in a neural predictor to choose among square, S-Triangle, and T-Triangle layouts, then maps, inserts SWAPs, and schedules the circuit accordingly. Empirical results show improvements in critical-path pulse count (up to 8.4% on random circuits and 5.4% on real-world benchmarks) and near-Oracle total pulses, along with fidelity considerations under realistic noise. The work demonstrates that topology-aware compilation can yield substantial performance gains in neutral-atom systems and provides an open-source framework for exploring this design space across algorithms and benchmarks.
Abstract
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.
