2 papers
quant-ph2026
Measurement incompatibility in Bayesian multiparameter quantum estimation
Francesco Albarelli, Dominic Branford, Jesús Rubio +1
We present a comprehensive and pedagogical formulation of Bayesian multiparameter quantum estimation. Within this framework, we analyse the role of measurement incompatibility and…
quant-ph2025
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…