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Machine learning & artificial intelligence in the quantum domain: a review of recent progress
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 …
other, are both emergent technologies that are likely to have a transformative impact on our …
Quantum machine learning
Fuelled by increasing computer power and algorithmic advances, machine learning
techniques have become powerful tools for finding patterns in data. Quantum systems …
techniques have become powerful tools for finding patterns in data. Quantum systems …
[HTML][HTML] Photonic quantum metrology
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 …
aim of this research field is the estimation of unknown parameters exploiting quantum …
Continuous-variable quantum neural networks
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) …
quantum neural network is a variational quantum circuit built in the continuous-variable (CV) …
Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers
With quantum computing technologies nearing the era of commercialization and quantum
supremacy, machine learning (ML) appears as one of the promising'killer'applications …
supremacy, machine learning (ML) appears as one of the promising'killer'applications …
Review of quantum image processing
As an interdisciplinary between quantum computing and image processing, quantum image
processing provides more possibilities for image processing due to the powerful parallel …
processing provides more possibilities for image processing due to the powerful parallel …
Entanglement of bosonic modes through an engineered exchange interaction
Quantum computation presents a powerful new paradigm for information processing. A
robust universal quantum computer can be realized with any well controlled quantum …
robust universal quantum computer can be realized with any well controlled quantum …
Machine learning method for state preparation and gate synthesis on photonic quantum computers
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 …
circuits of photonic quantum computers that perform a desired transformation between input …
Quantum singular-value decomposition of nonsparse low-rank matrices
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 …
computer. Given access to the elements of the matrix, our method allows one to determine …
A universal training algorithm for quantum deep learning
We introduce the Backwards Quantum Propagation of Phase errors (Baqprop) principle, a
central theme upon which we construct multiple universal optimization heuristics for training …
central theme upon which we construct multiple universal optimization heuristics for training …