Please use this identifier to cite or link to this item: https://doi.org/10.1038/s42005-021-00606-3
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dc.titleRealising and compressing quantum circuits with quantum reservoir computing
dc.contributor.authorGhosh, Sanjib
dc.contributor.authorKrisnanda, Tanjung
dc.contributor.authorPaterek, Tomasz
dc.contributor.authorLiew, Timothy C. H.
dc.date.accessioned2022-10-13T06:45:37Z
dc.date.available2022-10-13T06:45:37Z
dc.date.issued2021-05-21
dc.identifier.citationGhosh, Sanjib, Krisnanda, Tanjung, Paterek, Tomasz, Liew, Timothy C. H. (2021-05-21). Realising and compressing quantum circuits with quantum reservoir computing. Communications Physics 4 (1) : 105. ScholarBank@NUS Repository. https://doi.org/10.1038/s42005-021-00606-3
dc.identifier.issn2399-3650
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/233056
dc.description.abstractQuantum computers require precise control over parameters and careful engineering of the underlying physical system. In contrast, neural networks have evolved to tolerate imprecision and inhomogeneity. Here, using a reservoir computing architecture we show how a random network of quantum nodes can be used as a robust hardware for quantum computing. Our network architecture induces quantum operations by optimising only a single layer of quantum nodes, a key advantage over the traditional neural networks where many layers of neurons have to be optimised. We demonstrate how a single network can induce different quantum gates, including a universal gate set. Moreover, in the few-qubit regime, we show that sequences of multiple quantum gates in quantum circuits can be compressed with a single operation, potentially reducing the operation time and complexity. As the key resource is a random network of nodes, with no specific topology or structure, this architecture is a hardware friendly alternative paradigm for quantum computation. © 2021, The Author(s).
dc.publisherNature Research
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceScopus OA2021
dc.typeArticle
dc.contributor.departmentCENTRE FOR QUANTUM TECHNOLOGIES
dc.description.doi10.1038/s42005-021-00606-3
dc.description.sourcetitleCommunications Physics
dc.description.volume4
dc.description.issue1
dc.description.page105
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