12 citations · 16 across the 4 of their papers we have counts for
4 papers
Quantum reservoir computing in Jaynes-Cummings models: Nonlinear memory and time-series prediction
Sreetama Das, Gian Luca Giorgi, Roberta Zambrini
We investigate quantum reservoir computing (QRC) using a hybrid qubit-boson system described by the Jaynes-Cummings (JC) Hamiltonian and its dispersive limit (DJC). These models pr…
Investigating layer-selective transfer learning of QAOA parameters for Max-Cut problem
Francesco Aldo Venturelli, Sreetama Das, Filippo Caruso
The quantum approximate optimization algorithm (QAOA) is a variational quantum algorithm (VQA) ideal for noisy intermediate-scale quantum (NISQ) processors, and is highly successfu…
Permutation-equivariant quantum convolutional neural networks
Sreetama Das, Filippo Caruso
The Symmetric group manifests itself in large classes of quantum systems as the invariance of certain characteristics of a quantum state with respect to permuting the qubit…
The role of data embedding in equivariant quantum convolutional neural networks
Sreetama Das, Stefano Martina, Filippo Caruso
Geometric deep learning refers to the scenario in which the symmetries of a dataset are used to constrain the parameter space of a neural network and thus, improve their trainabili…