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Published on: May 30, 2014
Phase transitions in the classical simulability of open quantum systems
1London Centre for Nanotechnology, University College London, Gordon St., London, WC1H 0AH, UK.
We developed a new method to simulate open quantum systems, revealing a transition where entanglement saturates. This allows classical simulation, limiting quantum advantage even for systems with quantum effects.
Area of Science:
- Quantum Information Science
- Condensed Matter Physics
- Computational Physics
Background:
- Understanding the dynamics of open quantum systems is crucial for quantum computing and condensed matter physics.
- Entanglement dynamics are key to characterizing quantum behavior but are challenging to simulate for large systems.
- Environmental coupling and temperature significantly influence quantum system evolution.
Purpose of the Study:
- To introduce a novel Langevin unravelling method for simulating open quantum systems using matrix product states.
- To investigate the impact of environmental coupling and temperature on entanglement dynamics.
- To identify conditions under which quantum systems can be classically simulated.
Main Methods:
- Developed the time-dependent variational principle-Langevin equation for density matrix evolution.
- Studied entanglement dynamics as a function of environmental temperature and coupling strength.
- Analyzed the transition to a classically simulable phase.
Main Results:
- Identified a transition where individual trajectory entanglement saturates with increasing temperature and coupling.
- Demonstrated that this saturation permits classical simulation of the system for all times.
- Established this as the Hamiltonian open system analog of entanglement saturation in random circuits.
Conclusions:
- Open quantum systems have a limit to quantum simulation advantage, even with quantum effects present.
- Quantum simulators operating in this saturated entanglement phase cannot achieve quantum advantage.
- The developed method provides a pathway to understand and potentially overcome simulation limitations.
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