Harnessing quantum correlations can enable sensing beyond classical precision limits, with
the realization of such sensors poised for transformative impacts across science and …

Characterizing the time over which quantum coherence survives is critical for any
implementation of quantum bits, memories, and sensors. The usual method for determining …

Photonic integrated circuits offer a compact and stable platform for generating, manipulating,
and detecting light. They are instrumental for classical and quantum applications …

The two-qubit controlled-NOT gate is one of the central entangling operations in quantum
information technology. The controlled-NOT gate for single photon qubits is normally …

Quantum devices need precise control to achieve their full capability. In this work, we
address the problem of controlling closed quantum systems, tackling two main issues. First …

We present an inference method utilizing artificial neural networks for parameter estimation
of a quantum probe monitored through a single continuous measurement. Unlike existing …

Interpretability of artificial intelligence (AI) methods, particularly deep neural networks, is of
great interest due to the widespread use of AI-backed systems, which often have …

In this study, we explore the non-equilibrium thermodynamics of a quantum system,
specifically focusing on spin-1 quadrupole nuclei. By employing fundamental principles from …

Quantum machine learning is the interplay of machine learning with the concepts of
quantum computing. Largely a subset of quantum computing research, it aims to improve …

Les circuits supraconducteurs représentent une plateforme de choix pour le développement
de technologies quantiques en raison de leurs propriétés de cohérence et de notre habilité …