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Online Convex Optimization of Programmable Quantum Computers to Simulate Time-Varying Quantum Channels
Simulating quantum channels is a fundamental primitive in quantum computing, since quantum channels define general (trace-preserving) quantum operations.
Quantum reading: the experimental set-up
The protocol of quantum reading refers to the quantum enhanced retrieval of information from an optical memory, whose generic cell stores a bit of information in two possible lossy channels.
Quantum Physics Optics
Generalization in Quantum Machine Learning: a Quantum Information Perspective
Here we establish a link between quantum machine learning classification and quantum hypothesis testing (state and channel discrimination) and then show that the accuracy and generalization capability of quantum classifiers depend on the (R\'enyi) mutual informations $I(C{:}Q)$ and $I_2(X{:}Q)$ between the quantum state space $Q$ and the classical parameter space $X$ or class space $C$.
Mixed State Entanglement Classification using Artificial Neural Networks
Reliable methods for the classification and quantification of quantum entanglement are fundamental to understanding its exploitation in quantum technologies.
An Optomechanical Platform for Quantum Hypothesis Testing for Collapse Models
Quantum Hypothesis Testing has shown the advantages that quantum resources can offer in the discrimination of competing hypothesis.
Two-sample testing
Quantum Physics
Ultimate Limits of Thermal Pattern Recognition
Quantum Channel Discrimination (QCD) presents a fundamental task in quantum information theory, with critical applications in quantum reading, illumination, data-readout and more.
Quantum-enhanced barcode decoding and pattern recognition
Quantum hypothesis testing is one of the most fundamental problems in quantum information theory, with crucial implications in areas like quantum sensing, where it has been used to prove quantum advantage in a series of binary photonic protocols, e. g., for target detection or memory cell readout.
Long-distance continuous-variable measurement-device-independent quantum key distribution with post-selection
We introduce a robust scheme for long-distance continuous-variable (CV) measurement-device-independent (MDI) quantum key distribution (QKD) in which we employ post-selection between distant parties communicating through the medium of an untrusted relay.
Quantum Physics
Noise-Resilient Variational Hybrid Quantum-Classical Optimization
Variational hybrid quantum-classical optimization represents one of the most promising avenue to show the advantage of nowadays noisy intermediate-scale quantum computers in solving hard problems, such as finding the minimum-energy state of a Hamiltonian or solving some machine-learning tasks.
