Quantum information technologies, on the one hand, and intelligent learning systems, on the
other, are both emergent technologies that are likely to have a transformative impact on our …

Fuelled by increasing computer power and algorithmic advances, machine learning
techniques have become powerful tools for finding patterns in data. Quantum systems …

Quantum metrology is one of the most promising applications of quantum technologies. The
aim of this research field is the estimation of unknown parameters exploiting quantum …

We introduce a general method for building neural networks on quantum computers. The
quantum neural network is a variational quantum circuit built in the continuous-variable (CV) …

With quantum computing technologies nearing the era of commercialization and quantum
supremacy, machine learning (ML) appears as one of the promising'killer'applications …

As an interdisciplinary between quantum computing and image processing, quantum image
processing provides more possibilities for image processing due to the powerful parallel …

Quantum computation presents a powerful new paradigm for information processing. A
robust universal quantum computer can be realized with any well controlled quantum …

We show how techniques from machine learning and optimization can be used to find
circuits of photonic quantum computers that perform a desired transformation between input …

We present a method to exponentiate nonsparse indefinite low-rank matrices on a quantum
computer. Given access to the elements of the matrix, our method allows one to determine …

We introduce the Backwards Quantum Propagation of Phase errors (Baqprop) principle, a
central theme upon which we construct multiple universal optimization heuristics for training …