Theoretical formulation of finite-dimensional discrete phase spaces: II. On the uncertainty principle for Schwinger unitary operators

TL;DR

This paper develops a new theoretical framework for Schwinger unitary operators, introducing a generalized uncertainty principle that refines existing bounds and connects quantum mechanics with signal processing techniques.

Contribution

It presents a novel quantum-algebraic approach that generalizes the Massar-Spindel inequality and establishes a hierarchy of tighter bounds for uncertainty in finite-dimensional quantum systems.

Findings

Introduces a new uncertainty principle for Schwinger unitary operators.

Establishes a hierarchy of bounds interpolating between known inequalities.

Connects quantum uncertainty with signal processing and state reconstruction techniques.

Abstract

We introduce a self-consistent theoretical framework associated with the Schwinger unitary operators whose basic mathematical rules embrace a new uncertainty principle that generalizes and strengthens the Massar-Spindel inequality. Among other remarkable virtues, this quantum-algebraic approach exhibits a sound connection with the Wiener-Kinchin theorem for signal processing, which permits us to determine an effective tighter bound that not only imposes a new subtle set of restrictions upon the selective process of signals and wavelets bases, but also represents an important complement for property testing of unitary operators. Moreover, we establish a hierarchy of tighter bounds, which interpolates between the tightest bound and the Massar-Spindel inequality, as well as its respective link with the discrete Weyl function and tomographic reconstructions of finite quantum states. We also show how the Harper Hamiltonian and discrete Fourier operators can be combined to construct finite ground states which yield the tightest bound of a given finite-dimensional state vector space. Such results touch on some fundamental questions inherent to quantum mechanics and their implications in quantum information theory.