5 papers
A hidden bottleneck in classical and quantum linear reservoir computing
Johannes Nokkala, Federico Centrone, Francesco Arzani
We identify a hidden bottleneck in the information processing capacity of linear reservoir computers. When the measured features evolve linearly in the reservoir and the output is…
Stability of Continuous Time Quantum Walks in Complex Networks
Adithya L J, Johannes Nokkala, Jyrki Piilo +1
We investigate the stability of continuous-time quantum walks (CTQW) across cycle, complete, star, ErdÅs-Rényi, small-world, and scale-free topologies under energy-based intrinsi…
Smarter Usage of Measurement Statistics Can Greatly Improve Continuous Variable Quantum Reservoir Computing
Markku Hahto, Johannes Nokkala
Quantum reservoir computing is a machine learning scheme in which a quantum system is used to perform information processing. A prospective approach to its physical realization is…
Transfer and routing of Gaussian states through quantum complex networks with and without community structure
Markku Hahto, Johannes Nokkala, Guillermo GarcÃa-Pérez +2
The goal in quantum state transfer is to avoid the need to physically transport carriers of quantum information. This is achieved by using a suitably engineered Hamiltonian that in…
Retrieving past quantum features with deep hybrid classical-quantum reservoir computing
Johannes Nokkala, Gian Luca Giorgi, Roberta Zambrini
Machine learning techniques have achieved impressive results in recent years and the possibility of harnessing the power of quantum physics opens new promising avenues to speed up…