1.9k citations · 7.5k across the 87 of their papers we have counts for
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Few measurement shots challenge generalization in learning to classify entanglement
Leonardo Banchi, Jason Pereira, Marco Zamboni
The ability to extract general laws from a few known examples depends on the complexity of the problem and on the amount of training data. In the quantum setting, the learner's gen…
Quantum spatial search with multiple excitations
Dylan Lewis, Leonardo Banchi, Sougato Bose
Spatial search is the problem of finding a marked vertex in a graph. A continuous-time quantum walk in the single-excitation subspace of an spin system solves the problem of sp…
Learning to Classify Quantum Phases of Matter with a Few Measurements
Mehran Khosrojerdi, Jason L. Pereira, Alessandro Cuccoli +1
We study the identification of quantum phases of matter, at zero temperature, when only part of the phase diagram is known in advance. Following a supervised learning approach, we…
Transmon qubit modeling and characterization for Dark Matter search
R. Moretti, D. Labranca, P. Campana +21
This study presents the design, simulation, and experimental characterization of a superconducting transmon qubit circuit prototype for potential applications in dark matter detect…
Quantum Adversarial Learning for Kernel Methods
Giuseppe Montalbano, Leonardo Banchi
We show that hybrid quantum classifiers based on quantum kernel methods and support vector machines are vulnerable against adversarial attacks, namely small engineered perturbation…
Characterization of a Transmon Qubit in a 3D Cavity for Quantum Machine Learning and Photon Counting
Alessandro D'Elia, Boulos Alfakes, Anas Alkhazaleh +19
In this paper we report the use of superconducting transmon qubit in a 3D cavity for quantum machine learning and photon counting applications. We first describe the realization an…