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Related Experiment Video

Updated: May 18, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Quasilocality and efficient simulation of markovian quantum dynamics.

Thomas Barthel¹, Martin Kliesch

¹Dahlem Center for Complex Quantum Systems, Freie Universität Berlin, 14195 Berlin, Germany.

Physical Review Letters

|September 26, 2012

Summary

We show that open many-body quantum systems with short-range interactions are quasilocal. This allows for efficient classical and quantum simulations, bounding finite-size effects in experiments.

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Last Updated: May 18, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

Quantum physics
Many-body systems
Quantum information science

Background:

Open many-body systems are crucial for understanding complex quantum phenomena.
Time-dependent quantum master equations describe the dynamics of these systems.
Short-range interactions simplify system complexity.

Purpose of the Study:

To demonstrate the quasilocal nature of evolution in open many-body systems.
To establish efficient simulation methods for these systems on classical and quantum computers.
To provide rigorous bounds for finite-size effects in experiments and simulations.

Main Methods:

Generalized Lieb-Robinson bound application.
Analysis of time-dependent quantum master equations.
Error bound derivation for Trotter decompositions.

Main Results:

The evolution of observables in open many-body systems is quasilocal.
Classical simulation cost is independent of system size.
Quantum simulations are efficient in time due to error bounds.
Exponential precision increase with subsystem diameter.

Conclusions:

Quasilocality enables efficient simulations of open many-body systems.
Results provide a theoretical basis for bounding finite-size effects.
The framework is applicable to both classical and quantum computational approaches.