Authors: Hanrui Wang, Pengyu Liu, Daniel Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut A. Acar, Song Han

Published on: May 03, 2024

Impact Score: 7.8

Arxiv code: Arxiv:2311.15123

Summary

• What is new: Introduction of a novel architecture called reconfigurable atom arrays (RAAs) or field programmable qubit arrays (FPQAs) for quantum computing, aiming to reduce the cost of long-range interactions.
• Why this is important: Existing quantum computing models rely on fixed atom arrays (FAAs) requiring extensive SWAP operations for long-range interactions, leading to high operational costs.
• What the research proposes: A new compilation framework called Atomique, designed for RAAs, supports strategic qubit mapping, atom movement, and gate scheduling to minimize SWAP overhead and operational costs.
• Results: Atomique outperforms existing models like IBM Superconducting and FAAs in various benchmarks, achieving significant reductions in depth and the number of two-qubit gates.

Technical Details

Technological frameworks used: Atomique

Models used: Qubit-array mapper, qubit-atom mapper, router for parallel gate scheduling

Data used: 20+ diverse benchmarks from generic circuits, quantum simulation, and QAOA circuits.

Potential Impact

Quantum computing, especially companies focusing on quantum hardware and research institutions developing quantum algorithms.

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