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Updated: Sep 10, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Time-Marching Quantum Algorithm for Simulation of Nonlinear Lorenz Dynamics.

Efstratios Koukoutsis1, George Vahala2, Min Soe3

  • 1School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Zographou, Greece.

Entropy (Basel, Switzerland)
|August 28, 2025
PubMed
Summary

This study presents a quantum algorithm for simulating the nonlinear Lorenz model, overcoming quantum mechanics

Keywords:
Hadamard productLorenz systemSVD block encodinglinear combination of unitariesnonlinear ordinary differential equationsrecursive structuretime-marching quantum algorithm

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Area of Science:

  • Quantum Computing
  • Computational Physics
  • Chaos Theory

Background:

  • Quantum mechanics' linear formulation poses challenges for simulating nonlinear classical dynamics.
  • The Lorenz model is a fundamental system in chaos theory, climate science, and fluid dynamics.

Purpose of the Study:

  • To develop an explicit quantum algorithm for simulating the time evolution of the Lorenz model.
  • To address the inherent difficulties in simulating nonlinear dynamics on quantum computers.

Main Methods:

  • Developed a quantum algorithm implementing a second-order time-discretized Lorenz model.
  • The algorithm features a recursive structure.
  • Requires a linear number of initial state copies relative to time-steps.

Main Results:

  • The quantum algorithm achieves a linear scaling in initial state copies, improving over prior methods.
  • Preserves quantum speed-up advantages in system dimensionality.
  • Classical implementation accurately reproduced Lorenz system attractors (limit cycles and chaotic).

Conclusions:

  • The proposed quantum algorithm offers an efficient method for simulating nonlinear classical systems like the Lorenz model.
  • Demonstrates the potential of quantum computation for advancing chaos theory and related scientific fields.