- Istituto Nazionale di Fisica Nucleare, Sezione di FirenzeIT2.2k papers
- Centre National de la Recherche ScientifiqueFR1.3k papers
- University of BolognaIT1k papers
- University of PaduaIT985 papers
- European Organization for Nuclear ResearchCH983 papers
- Sapienza University of RomeIT950 papers
- Massachusetts Institute of TechnologyUS940 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma IIT927 papers
- University of PisaIT925 papers
- Scuola Normale SuperioreIT886 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di BolognaIT873 papers
- Rutherford Appleton LaboratoryGB863 papers
286 papers · 1 filter
Finite path integrals on stochastic branched structures
Roukaya Dekhil, Clifford Ellgen, Bruno Klajn
In this paper, we present a statistical model of spacetime trajectories based on a finite collection of paths organized into a branched manifold. For each configuration of the bran…
Time uncertainty and fundamental sensitivity limits in quantum sensing: application to optomechanical gravimetry
Salman Sajad Wani, Saif Al-Kuwari, Arshid Shabir +3
High-sensitivity accelerometers and gravimeters, achieving the ultimate limits of measurement sensitivity are key tools for advancing both fundamental and applied physics. While nu…
On-chip semi-device-independent quantum random number generator exploiting contextuality
Maddalena Genzini, Caterina Vigliar, Mujtaba Zahidy +6
We present a semi-device-independent quantum random number generator (QRNG) based on the violation of a contextuality inequality, implemented by the integration of two silicon phot…
Measurement incompatibility in Bayesian multiparameter quantum estimation
Francesco Albarelli, Dominic Branford, Jesús Rubio
We present a comprehensive and pedagogical formulation of Bayesian multiparameter quantum estimation. Within this framework, we analyse the role of measurement incompatibility and…
Overshifted Parameter-Shift Rules: Optimizing Complex Quantum Systems with Few Measurements
Leonardo Banchi, Dominic Branford, Chetan Waghela
Gradient-based optimization is a key ingredient of variational quantum algorithms, with applications ranging from quantum machine learning to quantum chemistry and simulation. The…
Unified boson sampling
Luca Bianchi, Carlo Marconi, Laura Ares +2
Boson sampling is a key candidate for demonstrating quantum advantage, and has already yielded significant advances in quantum simulation, machine learning, and graph theory. In th…