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Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

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Chaos generated in a semiconductor microcavity.

Yong Hong Ma¹, Xing Wang Hou¹, Rong Zhao¹

¹School of Science, Inner Mongolia University of Science and Technology, Baotou 014010, People's Republic of China.

Physical Review. E

|March 18, 2023

Summary

This summary is machine-generated.

We explored quantum chaos in microcavities, finding that exciton and cavity modes can exhibit synchronous chaos. This chaos is controllable via parameters like coupling and external fields, with potential applications in neural networks.

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Area of Science:

Quantum mechanics
Condensed matter physics
Nonlinear dynamics

Background:

Quantum chaos is a significant area of research due to its implications for fundamental quantum mechanics.
Microcavities with quantum wells provide a platform for studying complex quantum phenomena.
Understanding chaotic dynamics in such systems is crucial for developing novel applications.

Purpose of the Study:

To investigate the chaotic dynamics of both excitonic and cavity modes in a driven microcavity system.
To analyze the influence of various parameters on the generation and control of quantum chaos.
To explore potential applications of controlled quantum chaos.

Main Methods:

Theoretical study of a microcavity containing a quantum well driven by an external field.
Analysis of chaotic dynamics considering exciton-cavity coupling, Coulomb interaction, and external field effects.
Parameter-dependent investigation of chaos generation and control mechanisms.

Main Results:

Demonstrated synchronous chaos generation in both cavity and excitonic modes by tuning system parameters.
Identified key parameters controlling chaos, including coupling constant, exciton interaction strength, and external field.
Showcased the influence of exciton response and field detuning on chaotic behavior.

Conclusions:

Synchronous chaos in quantum microcavities is achievable and controllable.
The findings offer insights into the fundamental nature of quantum chaos.
Potential applications include chaos-based neural networks and extreme event statistics.