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Quantum Embedding Theories.

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Summary
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This study unifies three quantum embedding formalisms: density functional embedding, Green's function embedding, and density matrix embedding. It highlights their common theoretical foundations and provides a framework for understanding complex quantum systems.

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Area of Science:

  • Quantum Chemistry
  • Computational Physics
  • Theoretical Chemistry

Background:

  • Complex systems often require simulating only a small region of interest within a larger environment.
  • Quantum embedding methods combine high-level calculations on active regions with low-level calculations on their environment.
  • Existing rigorous formalisms for quantum embedding include density functional, Green's function, and density matrix embedding, each using different quantum variables.

Purpose of the Study:

  • To provide a unified presentation of three major quantum embedding formalisms.
  • To highlight the common theoretical underpinnings and intellectual strands connecting these methods.
  • To offer a theoretical perspective with an overview of recent applications and future developments.

Main Methods:

  • Introduces density functional embedding via the Euler equation, discussing potentials, mean-field, and wave function approaches.
  • Presents Green's function embedding using the Dyson equation, drawing parallels with density functional methods and introducing concepts like hybridization and bath representation.
  • Explains density matrix embedding, utilizing Schmidt decomposition to represent entanglement and connecting to dynamical mean-field theory.

Main Results:

  • Demonstrates the shared theoretical foundations across density functional, Green's function, and density matrix embedding formalisms.
  • Provides parallel equations and conceptual links between the different embedding approaches.
  • Outlines recent advancements and potential future directions for each embedding method.

Conclusions:

  • Quantum embedding methods, despite differing mathematical languages, share fundamental theoretical connections.
  • A unified understanding facilitates the application and development of these powerful simulation techniques.
  • This work serves as a foundational resource for researchers in quantum embedding and complex system simulations.