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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.
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
ISSN: 2399-3650
DOI: 10.1038/s42005-021-00606-3
Rights: Attribution 4.0 International
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