Search Results for author:
Found 3 papers, 0 papers with code
Active Learning in Physics: From 101, to Progress, and Perspective
Active Learning (AL) is a family of machine learning (ML) algorithms that predates the current era of artificial intelligence.
Neural-network-based parameter estimation for quantum detection
In particular, in the presence of a target, a quantum sensor delivers a response, i. e., the input data, which can be subsequently processed by a neural network that outputs the target features.
Quantum Physics
Experimental Implementation of a Quantum Autoencoder via Quantum Adders
Quantum autoencoders allow for reducing the amount of resources in a quantum computation by mapping the original Hilbert space onto a reduced space with the relevant information.
