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Continuous-Time Quantum Walk in Glued Trees: Localized State-Mediated Almost Perfect Quantum-State Transfer.
Vincent Pouthier1, Lucie Pepe2, Saad Yalouz2
1Institut UTINAM, Université de Franche-Comté, CNRS UMR 6213, 25030 Besançon, France.
Entropy (Basel, Switzerland)
|June 26, 2024
Summary
Quantum walkers on glued trees show transfer efficiency depends on graph architecture. Leafier structures with specific branching rates enhance quantum state transfer between roots.
Area of Science:
- Quantum physics
- Graph theory
- Information science
Background:
- Quantum walkers are essential for quantum computation and information transfer.
- Graph architecture significantly impacts quantum system dynamics and efficiency.
- Previous studies often focused on regular tree structures, limiting insights into complex architectures.
Purpose of the Study:
- To investigate how the architecture of glued trees influences quantum walker dynamics.
- To understand the efficiency of quantum state transfer between roots in leafier tree structures.
- To explore the relationship between branching rate (M) and root degree (N) on transfer efficiency.
Main Methods:
- Numerical simulations of quantum walker dynamics on glued trees.
- Analysis of the walker's behavior as an isomorphic particle on a finite-size chain with defects.
- Analytical development to study the energy spectrum and localized states.
Main Results:
- Quantum state transfer efficiency is highly dependent on the branching rate (M) relative to the root degree (N).
- The walker's behavior mimics a particle on a defective finite chain, with roots and leaves acting as defects.
- Disparities between M and N lead to quasi-degenerate localized states, enhancing quantum beats and transfer efficiency.
Conclusions:
- The architecture of glued trees, specifically the M/N ratio, critically governs quantum state transfer.
- Localized states formed due to architectural imbalances are key to efficient quantum-state transfer.
- Findings provide insights into quantum information transfer mechanisms on complex graph structures.
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