Related Experiment Video
Updated: Feb 9, 2026

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
Published on: May 30, 2014
Multiscale Quantum Harmonic Oscillator Algorithm for Multimodal Optimization
Peng Wang1, Kun Cheng2,3, Yan Huang4,5,6
1School of Computer Science and Technology, Southwest University for Nationality, Chengdu, China.
Abstract:
This paper presents a variant of multiscale quantum harmonic oscillator algorithm for multimodal optimization named MQHOA-MMO. MQHOA-MMO has only two main iterative processes: quantum harmonic oscillator process and multiscale process. In the two iterations, MQHOA-MMO only does one thing: sampling according to the wave function at different scales. A set of benchmark test functions including some challenging functions are used to test the performance of MQHOA-MMO. Experimental results demonstrate good performance of MQHOA-MMO in solving multimodal function optimization problems. For the 12 test functions, all of the global peaks can be found without being trapped in a local optimum, and MQHOA-MMO converges within 10 iterations.
Related Concept Videos
Quantum Numbers
Harmonic Mean
Take the example of the speed of a car, which is the measure of the rate of distance traveled. If the vehicle traverses the same distance back-and-forth, its average speed equals the total distance traveled divided by the total time taken. However, if the car moves with varying speeds, then the arithmetic mean is more skewed...
The Quantum-Mechanical Model of an Atom
Oscillations In An LC Circuit
Forced Oscillations
Damped Oscillations
Although friction and other non-conservative...

