# Gaussian states provide universal and versatile quantum reservoir computing

@article{Nokkala2020GaussianSP, title={Gaussian states provide universal and versatile quantum reservoir computing}, author={Johannes Nokkala and Rodrigo Mart'inez-Pena and Gian Luca Giorgi and Valentina Parigi and Miguel C. Soriano and Roberta Zambrini}, journal={arXiv: Quantum Physics}, year={2020} }

We acknowledge the Spanish State Research Agency,through the Severo Ochoa and Maria de Maeztu Programfor Centers and Units of Excellence in R&D (MDM-2017-0711), CSIC extension to EPheQuCS (FIS2016-78010-P),and CSIC Quantum Technologies PTI-001. The work ofMCS has been supported by MICINN/AEI/FEDER andthe University of the Balearic Islands through a ”Ramony Cajal Fellowship (RYC-2015-18140). VP acknowledgesfinancial support from the European Research Council under the Consolidator Grant COQCOoN…

## 2 Citations

### Information Processing Capacity of Spin-Based Quantum Reservoir Computing Systems

- Computer Science
- 2020

This work characterize the performance of the spin-based QRC model with the Information Processing Capacity (IPC), which allows to quantify the computational capabilities of a dynamical system beyond specific tasks.

### Gaussian boson sampling and multi-particle event optimization by machine learning in the quantum phase space

- Computer Science, PhysicsArXiv
- 2021

The layered neural networks are used to represent the characteristic function of many-body Gaussian states in the quantum phase space, and it is demonstrated that multiparticle events in Gaussian boson sampling can be optimized by a proper design and training of the neural network weights.

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