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Collision Models Can Efficiently Simulate Any Multipartite Markovian Quantum Dynamics.

Marco Cattaneo1,2,3, Gabriele De Chiara4, Sabrina Maniscalco2,3,5

  • 1Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC, UIB-CSIC), Campus Universitat de les Illes Balears, E-07122 Palma de Mallorca, Spain.

Physical Review Letters
|April 16, 2021
PubMed
Summary
This summary is machine-generated.

We present a new multipartite collision model that simulates Markovian dynamics in open quantum systems. This model offers optimal error scaling and is efficiently simulable on quantum computers.

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Area of Science:

  • Quantum Physics
  • Quantum Information Science

Background:

  • Multipartite open quantum systems are crucial for understanding complex quantum phenomena.
  • Simulating their dynamics accurately is computationally challenging.

Purpose of the Study:

  • To introduce a novel multipartite collision model for simulating Markovian dynamics of open quantum systems.
  • To analyze the model's efficiency and error bounds for quantum computation.

Main Methods:

  • The multipartite collision model is defined via elementary interactions between subsystems and ancillas.
  • An analytical error bound estimation method for repeated interactions models was developed.
  • The model was decomposed into elementary quantum gates for quantum computer simulation.

Main Results:

  • The proposed model can simulate the Markovian dynamics of any multipartite open quantum system.
  • The scheme's error displays optimal scaling, validated by the developed analytical error bound.
  • The model is efficiently simulable on a quantum computer, requiring polynomial resources.

Conclusions:

  • The multipartite collision model provides an efficient and accurate method for simulating open quantum systems.
  • This work contributes to the advancement of quantum computation and simulation techniques.