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Quantum reservoir computing with classical and nonclassical states in an integrated optical circuit

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arXiv:2603.17103v1 Announce Type: new Abstract: Quantum reservoir computing (QRC) is a hardware-implementation-friendly quantum neural network scheme with minimal physical system requirements and a proven advantage over classical counterparts. We use an extension of the positive-P phase space method to efficiently simulate a bosonic, linear silicon-chip based QRC system excited with a single nonclassical state, a "kitten" state. In combination with input-encoding coherent states, our method allo

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Quantum Physics [Submitted on 17 Mar 2026] Quantum reservoir computing with classical and nonclassical states in an integrated optical circuit S. Świerczewski (1), W. Verstraelen (2 and 3), P. Deuar (4), T. C. H. Liew (2 and 3), A. Opala (5,4), M. Matuszewski (1,4) ((1) Center for Quantum Enabled-Computing, Center for Theoretical Physics of the Polish Academy of Sciences, (2) Division of Physics and Applied Physics, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore, (3) Majulab, International Joint Research Unit, (4) Institute of Physics, Polish Academy of Sciences, (5) Institute of Experimental Physics, Faculty of Physics, University of Warsaw) Quantum reservoir computing (QRC) is a hardware-implementation-friendly quantum neural network scheme with minimal physical system requirements and a proven advantage over classical counterparts. We use an extension of the positive-P phase space method to efficiently simulate a bosonic, linear silicon-chip based QRC system excited with a single nonclassical state, a "kitten" state. In combination with input-encoding coherent states, our method allows to obtain exact results for all correlation functions without Hilbert space cutoff. Surprisingly, we find that such a setting - where the only "quantumness'' derives from a single input mode, is sufficient to obtain significant (over 9-fold) reduction of classification error over the classical counterpart. Our work provides a promising direction toward efficient quantum computation with accessible optical hardware. Comments: 12 pages, 6 figures Subjects: Quantum Physics (quant-ph); Optics (physics.optics) Cite as: arXiv:2603.17103 [quant-ph] (or arXiv:2603.17103v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2603.17103 Focus to learn more Submission history From: Stanisław Świerczewski [view email] [v1] Tue, 17 Mar 2026 19:49:59 UTC (2,060 KB) Access Paper: HTML (experimental) view license Current browse context: quant-ph < prev | next > new | recent | 2026-03 Change to browse by: physics physics.optics References & Citations INSPIRE HEP NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)

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