4 papers
Recurrent Quantum Feature Maps for Reservoir Computing
Utkarsh Singh, Aaron Z. Goldberg, Christoph Simon +1
Reservoir computing promises a fast method for handling large amounts of temporal data. This hinges on constructing a good reservoir--a dynamical system capable of transforming inp…
A Resource Efficient Quantum Kernel
Utkarsh Singh, Jean-Frédéric Laprade, Aaron Z. Goldberg +1
Quantum processors may enhance machine learning by mapping high-dimensional data onto quantum systems for processing. Conventional feature maps, for encoding data onto a quantum ci…
Imaging at the quantum limit with convolutional neural networks
Andrew H. Proppe, Aaron Z. Goldberg, Guillaume Thekkadath +8
Deep neural networks have been shown to achieve exceptional performance for computer vision tasks like image recognition, segmentation, and reconstruction or denoising. Here, we ev…
Equalities and inequalities from entanglement, loss, and beam splitters
Anaelle Hertz, Noah Lupu-Gladstein, Khabat Heshami +1
Quantum optics bridges esoteric notions of entanglement and superposition with practical applications like metrology and communication. Throughout, there is an interplay between in…