Modeling Quantum Information

Shikhar Uttam

Vinod K. Mishra

Quantum sensing is an important application of Quantum Information (QI) techniques and usually entangled Qubits are used for this task. The sensor sensitivity depends on QI metrics like Shannon Mutual Information (SMI). In this work we present a mathematical model for calculating 1-Qutrit SMI and compare that with 1-Qubit SMI. Qutrit in cascade configuration is found to have higher SMI and so it a better Quantum Sensor for constant fields.

Masahito Hayashi

Olivier Nahman-Lévesque, Dusan Sarenac, David G. Cory +3 more

The development of novel neutron optics devices that rely on perfect crystals and nanoscale features are ushering in a new generation of neutron science experiments, from fundamental physics to material characterization of emerging quantum materials. However, the standard theory of dynamical diffraction (DD) that analyzes neutron propagation through perfect crystals does not consider complex geometries, deformations, and/or imperfections, which are now becoming a relevant systematic effect in high-precision interferometric experiments. In this work, we expand upon a quantum information (QI) model of DD that is based on propagating a particle through a lattice of unitary quantum gates. We show that the model output is mathematically equivalent to the spherical wave solution of the Takagi-Taupin equations when in the appropriate limit, and that the model can be extended to the Bragg as well as the Laue-Bragg geometry where it is consistent with experimental data. The presented results demonstrate the universality of the QI model and its potential for modeling scenarios that are beyond the scope of the standard theory of DD.

Ved Prakash Gupta, Prabha Mandayam, Viakalathur Shankar Sunder

Jincheng Zhang

This paper presents a novel dynamic topology model for quantum information evolution, focusing on the simulation of quantum information's evolution through dynamic adjustments to the topology of the underlying space. Traditional quantum information models often rely on static representations, limiting the ability to accurately capture the complex, evolving behavior of quantum systems. We propose a new model that dynamically shapes the topology of a quantum system, allowing for a more realistic simulation of quantum information's journey. The model's core mechanism leverages the interplay between topology and quantum information, enabling a qualitatively different approach to quantum information processing and storage. This approach has the potential to offer improved performance and robustness compared to static models.