Predictive Complexity of Quantum Subsystems
2024

Predictive Complexity of Quantum Subsystems

publication Evidence: moderate

Author Information

Author(s): Asplund Curtis T., Panciu Elisa, Sanz Ángel S.

Primary Institution: Department of Physics & Astronomy, San José State University

Hypothesis

Can predictive complexity provide a better measure of dynamical processes in quantum systems compared to entanglement entropy?

Conclusion

The predictive complexity serves as a more effective local order parameter for distinguishing significant events in quantum dynamics, such as magnon collisions.

Supporting Evidence

  • Predictive complexity is shown to better signify dynamically important events compared to entanglement entropy.
  • The study provides numerical evidence that predictive complexity highlights magnon collisions more effectively than traditional measures.
  • Predictive states can be used to define a new measure of complexity that is sensitive to short-range entanglement.

Takeaway

This study looks at how to better understand complex quantum systems by using a new measure called predictive complexity, which helps identify important events like collisions of particles.

Methodology

The study defines predictive states and predictive complexity for quantum systems and applies these concepts to the dynamics of a Heisenberg model spin chain.

Limitations

The study primarily focuses on a specific model and may not generalize to all quantum systems.

Digital Object Identifier (DOI)

10.3390/e26121065

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