Parameterized Multi-observable Sum Uncertainty Relations
Jing-Feng Wu, Qing-Hua Zhang, Shao-Ming Fei

TL;DR
This paper introduces parameterized sum uncertainty relations for multiple quantum observables, providing tighter bounds than existing relations and demonstrating their effectiveness through examples.
Contribution
It develops a new class of parameterized variance-based uncertainty relations that improve upon previous bounds for finite quantum observables.
Findings
Derived tighter uncertainty bounds for multiple observables
Lower bounds are non-zero unless the state is a common eigenvector
Examples confirm the tightness of the proposed relations
Abstract
The uncertainty principle is one of the fundamental features of quantum mechanics and plays an essential role in quantum information theory. We study uncertainty relations based on variance for arbitrary finite quantum observables. We establish a series of parameterized uncertainty relations in terms of the parameterized norm inequalities, which improve the exiting variance-based uncertainty relations. The lower bounds of our uncertainty inequalities are non-zero unless the measured state is a common eigenvector of all the observables. Detailed examples are provided to illustrate the tightness of our uncertainty relations.
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Taxonomy
TopicsQuantum Mechanics and Applications · Quantum Information and Cryptography · Quantum Computing Algorithms and Architecture
