Related Experiment Video
Updated: Jul 16, 2025
12:14
The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
Published on: August 12, 2013
21.8K
Chaos with Gaussian invariant distribution by quantum-noise random phase feedback
Optics Express
|September 15, 2023
Summary
This study introduces a quantum noise-based random phase feedback method to create a chaotic laser with a Gaussian distribution. This technique enhances chaotic laser output for applications in random number generation and secure communication.
Area of Science:
- Quantum Optics
- Laser Physics
- Nonlinear Dynamics
Background:
- Chaotic lasers are sensitive to initial conditions.
- Achieving stable Gaussian invariant distributions in chaotic lasers is challenging.
- Quantum noise offers a unique source for controlling chaotic dynamics.
Purpose of the Study:
- To experimentally demonstrate a novel random phase feedback method using quantum noise.
- To generate a chaotic laser with a Gaussian invariant distribution.
- To assess the suitability of this chaotic laser for random number generation and secure communication.
Main Methods:
- Utilizing balanced homodyne detection to acquire quantum noise from vacuum fluctuations.
- Injecting quantum noise into a phase modulator to create a random phase feedback loop.
- Employing an optical switch with a high-speed intensity modulator to repeatedly reset chaotic states.
Main Results:
- Successfully generated a chaotic laser with a Gaussian invariant distribution from asymmetric distributions.
- Demonstrated that the quantum-noise random phase feedback improves transient intensity distributions.
- Investigated the impact of phase feedback bandwidth and modulation depth on invariant distributions.
- Suppressed chaotic time-delay signature to 0.036 and enhanced mean permutation entropy to 0.999.
Conclusions:
- The developed quantum-noise random phase feedback effectively produces high-quality chaotic lasers with Gaussian invariant distributions.
- This method offers a promising approach for creating robust random sources.
- The chaotic laser is well-suited for ultrafast random number generation and secure communication applications.
Related Concept Videos
00:59Propagation of Uncertainty from Random Error
724
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
724
01:07Gauss's Law
7.4K
If a closed surface does not have any charge inside where an electric field line can terminate, then the electric field line entering the surface at one point must necessarily exit at some other point of the surface. Therefore, if a closed surface does not have any charges inside the enclosed volume, then the electric flux through the surface is zero. What happens to the electric flux if there are some charges inside the enclosed volume? Gauss's law gives a quantitative answer to this question.
7.4K
01:10Propagation of Uncertainty from Systematic Error
552
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
552
01:04Random Error
923
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
923
01:10Entropy Change in Reversible Processes
2.6K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
2.6K
01:25Poisson's And Laplace's Equation
3.0K
The electric potential of the system can be calculated by relating it to the electric charge densities that give rise to the electric potential. The differential form of Gauss's law expresses the electric field's divergence in terms of the electric charge density.
3.0K