Reuse-Aware Compilation for Zoned Quantum Architectures Based on Neutral Atoms

Fuente: arXiv
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Autori principali: Lin, Wan-Hsuan, Tan, Daniel Bochen, Cong, Jason
Natura: Preprint
Pubblicazione: 2024
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author Lin, Wan-Hsuan
Tan, Daniel Bochen
Cong, Jason
author_facet Lin, Wan-Hsuan
Tan, Daniel Bochen
Cong, Jason
contents Quantum computing architectures based on neutral atoms offer large scales and high-fidelity operations. They can be heterogeneous, with different zones for storage, entangling operations, and readout. Zoned architectures improve computation fidelity by shielding idling qubits in storage from side-effect noise, unlike monolithic architectures where all operations occur in a single zone. However, supporting these flexible architectures with efficient compilation remains challenging. In this paper, we propose ZAC, a scalable compiler for zoned architectures. ZAC minimizes data movement overhead between zones with qubit reuse, i.e., keeping them in the entanglement zone if an immediate entangling operation is pending. Other innovations include novel data placement and instruction scheduling strategies in ZAC, a flexible specification of zoned architectures, and an intermediate representation for zoned architectures, ZAIR. Our evaluation shows that zoned architectures equipped with ZAC achieve a 22x improvement in fidelity compared to monolithic architectures. Moreover, ZAC is shown to have a 10% fidelity gap on average compared to the ideal solution. This significant performance enhancement enables more efficient and reliable quantum circuit execution, enabling advancements in quantum algorithms and applications. ZAC is open source at https://github.com/UCLA-VAST/ZAC
format Preprint
id arxiv_https___arxiv_org_abs_2411_11784
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Reuse-Aware Compilation for Zoned Quantum Architectures Based on Neutral Atoms
Lin, Wan-Hsuan
Tan, Daniel Bochen
Cong, Jason
Quantum Physics
Quantum computing architectures based on neutral atoms offer large scales and high-fidelity operations. They can be heterogeneous, with different zones for storage, entangling operations, and readout. Zoned architectures improve computation fidelity by shielding idling qubits in storage from side-effect noise, unlike monolithic architectures where all operations occur in a single zone. However, supporting these flexible architectures with efficient compilation remains challenging. In this paper, we propose ZAC, a scalable compiler for zoned architectures. ZAC minimizes data movement overhead between zones with qubit reuse, i.e., keeping them in the entanglement zone if an immediate entangling operation is pending. Other innovations include novel data placement and instruction scheduling strategies in ZAC, a flexible specification of zoned architectures, and an intermediate representation for zoned architectures, ZAIR. Our evaluation shows that zoned architectures equipped with ZAC achieve a 22x improvement in fidelity compared to monolithic architectures. Moreover, ZAC is shown to have a 10% fidelity gap on average compared to the ideal solution. This significant performance enhancement enables more efficient and reliable quantum circuit execution, enabling advancements in quantum algorithms and applications. ZAC is open source at https://github.com/UCLA-VAST/ZAC
title Reuse-Aware Compilation for Zoned Quantum Architectures Based on Neutral Atoms
topic Quantum Physics
url https://arxiv.org/abs/2411.11784