4.6 Article

Quantum supremacy and quantum phase transitions

Journal

PHYSICAL REVIEW B
Volume 103, Issue 16, Pages -

Publisher

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevB.103.165132

Keywords

-

Funding

  1. National Research Foundation, Prime Minister's Office, Singapore
  2. Ministry of Education, Singapore under the Research Centres of Excellence programme
  3. National Natural Science Foundation of China [11875110]
  4. Shanghai Municipal Science and Technology Major Project [2019SHZDZX01]
  5. EU Regional Development Fund
  6. Polisimulator project

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This work focuses on demonstrating quantum supremacy in generic driven analog many-body systems and exploring dynamical quantum phase transitions. By applying the proposed method to periodically driven systems, the transition between different phases can be accurately captured.
Demonstrating the ability of existing quantum platforms to perform certain computational tasks intractable to classical computers represents a cornerstone in quantum computing. Despite the growing number of such proposed quantum supreme tasks, it remains an important challenge to identify their direct applications. In this work, we describe how the approach proposed by Tangpanitanon et al. [arXiv:2002.11946] for demonstrating quantum supremacy in generic driven analog many-body systems, such as those found in cold atom and ion setups, can be extended to explore dynamical quantum phase transitions. We show how key quantum supremacy signatures, such as the divergence between the output distribution and the Porter Thomas distribution, can be used as effective order parameters. We apply this approach to a periodically driven disordered one-dimensional Ising model and show that we can accurately capture the transition between the driven thermalized and many-body localized phases. This approach also captures the transition towards the Floquet prethermalized regime for high-frequency driving. Revisiting quantum phases of matter under the light of the recent discussions about quantum supremacy draws a link between complexity theory and analog many-body systems.

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