From the 1 of 6 linked papers with an AI index.
6 papers
A Reservoir Computing Approach to Quantum Gate Synthesis
Francesco Caravelli, Roberto Menta, Antonio Sannia
The paper introduces Group Reservoir Computing, a reservoir‑computing method that learns quantum gate dynamics via a single linear regression, guaranteeing unitary evolution and ac…
Uncovering and Circumventing Noise in Quantum Algorithms via Metastability
Antonio Sannia, Pratik Sathe, Luis Pedro GarcÃa-Pintos
The presence of noise is the primary challenge in realizing fault-tolerant quantum computers. In this work, we introduce and experimentally validate a novel strategy to circumvent…
From quantum feature maps to quantum reservoir computing: perspectives and applications
Casper Gyurik, Filip Wudarski, Evan Philip +5
We explore the interplay between two emerging paradigms: reservoir computing and quantum computing. We observe how quantum systems featuring beyond-classical correlations and vast…
Exponential concentration and symmetries in Quantum Reservoir Computing
Antonio Sannia, Gian Luca Giorgi, Roberta Zambrini
Quantum reservoir computing (QRC) is an emerging framework for near-term quantum machine learning that offers in-memory processing, platform versatility across analogue and digital…
Non-Markovianity and memory enhancement in Quantum Reservoir Computing
Antonio Sannia, Ricard Ravell RodrÃguez, Gian Luca Giorgi +1
Featuring memory of past inputs is a fundamental requirement for machine learning models processing time-dependent data. In quantum reservoir computing, all architectures proposed…
Liouvillian skin effect in quantum neural networks
Antonio Sannia, Gian Luca Giorgi, Stefano Longhi +1
In the field of dissipative systems, the non-Hermitian skin effect has generated significant interest due to its unexpected implications. A system is said to exhibit a skin effect…