Distributed quantum computing across an optical network link

成果类型:
Article
署名作者:
Main, D.; Drmota, P.; Nadlinger, D. P.; Ainley, E. M.; Agrawal, A.; Nichol, B. C.; Srinivas, R.; Araneda, G.; Lucas, D. M.
署名单位:
University of Oxford
刊物名称:
Nature
ISSN/ISSBN:
0028-1003
DOI:
10.1038/s41586-024-08404-x
发表日期:
2025-02-13
关键词:
single atoms gate teleportation entanglement computation FIDELITY algorithms
摘要:
Distributed quantum computing (DQC) combines the computing power of multiple networked quantum processing modules, ideally enabling the execution of large quantum circuits without compromising performance or qubit connectivity1,2. Photonic networks are well suited as a versatile and reconfigurable interconnect layer for DQC; remote entanglement shared between matter qubits across the network enables all-to-all logical connectivity through quantum gate teleportation (QGT)3,4. For a scalable DQC architecture, the QGT implementation must be deterministic and repeatable; until now, no demonstration has satisfied these requirements. Here we experimentally demonstrate the distribution of quantum computations between two photonically interconnected trapped-ion modules. The modules, separated by about two metres, each contain dedicated network and circuit qubits. By using heralded remote entanglement between the network qubits, we deterministically teleport a controlled-Z (CZ) gate between two circuit qubits in separate modules, achieving 86% fidelity. We then execute Grover's search algorithm5-to our knowledge, the first implementation of a distributed quantum algorithm comprising several non-local two-qubit gates-and measure a 71% success rate. Furthermore, we implement distributed iSWAP and SWAP circuits, compiled with two and three instances of QGT, respectively, demonstrating the ability to distribute arbitrary two-qubit operations6. As photons can be interfaced with a variety of systems, the versatile DQC architecture demonstrated here provides a viable pathway towards large-scale quantum computing for a range of physical platforms.
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