In parameter estimation, nuisance parameters refer to parameters that are not of interest but
nevertheless affect the precision of estimating other parameters of interest. For instance, the …

Quantum computers solve ever more complex tasks using steadily growing system sizes.
Characterizing these quantum systems is vital, yet becoming increasingly challenging. The …

Achieving the ultimate precisions for multiple parameters simultaneously is an outstanding
challenge in quantum physics, because the optimal measurements for incompatible …

Adaptive techniques have great potential for wide application in enhancing the precision of
quantum parameter estimation. We present an adaptive quantum state tomography protocol …

We consider the estimation of noise parameters in a quantum channel, assuming the most
general strategy allowed by quantum mechanics. This is based on the exploitation of …

Full quantum state tomography (FQST) plays a unique role in the estimation of the state of a
quantum system withouta prioriknowledge or assumptions. Unfortunately, since FQST …

Collective measurements on identically prepared quantum systems can extract more
information than local measurements, thereby enhancing information-processing efficiency …

Quantum estimation of a single parameter has been studied extensively. Practical
applications, however, typically involve multiple parameters, for which the ultimate precision …

We introduce a fast and accurate heuristic for adaptive tomography that addresses many of
the limitations of prior methods. Previous approaches were either too computationally …

Metasurface enables the generation and manipulation of multiphoton entanglement with flat
optics, providing a more efficient platform for large-scale photonic quantum information …