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https://doi.org/10.1038/s42005-021-00606-3
Title: | Realising and compressing quantum circuits with quantum reservoir computing | Authors: | Ghosh, Sanjib Krisnanda, Tanjung Paterek, Tomasz Liew, Timothy C. H. |
Issue Date: | 21-May-2021 | Publisher: | Nature Research | Citation: | Ghosh, 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 | Rights: | Attribution 4.0 International | Abstract: | Quantum 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). | Source Title: | Communications Physics | URI: | https://scholarbank.nus.edu.sg/handle/10635/233056 | ISSN: | 2399-3650 | DOI: | 10.1038/s42005-021-00606-3 | Rights: | Attribution 4.0 International |
Appears in Collections: | Staff Publications Elements |
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