Stochastic collision model approach to transport phenomena in quantum networks

Abstract

Noise-assisted transport phenomena highlight the nontrivial interplay between environmental effects and quantum coherence in achieving maximal efficiency. Due to the complexity of biochemical systems and their environments, effective open quantum system models capable of providing physical insights on the presence and role of quantum effects are highly needed. In this paper, we introduce a new approach that combines an effective quantum microscopic description with a classical stochastic one. Our stochastic collision model describes both Markovian and non-Markovian dynamics without relying on the weak coupling assumption. We investigate the consequences of spatial and temporal heterogeneity of noise on transport efficiency in a fully connected graph and in the Fenna-Matthews-Olson complex. Our approach shows how to meaningfully formulate questions, and provide answers, on important open issues such as the properties of optimal noise and the emergence of the network structure as a result of an evolutionary process.

References in corpus (8)

• Dephasing assisted transport: Quantum networks and biomolecules
• Environment-Assisted Quantum Transport
• Highly efficient energy excitation transfer in light-harvesting complexes: The fundamental role of noise-assisted transport
• Collision-model-based approach to non-Markovian quantum dynamics
• Quantum non-Markovian piecewise dynamics from collision models
• Continuous-time quantum walk on spatially correlated noisy lattices
• Memory kernel approach to generalized Pauli channels: Markovian, semi-Markov, and beyond
• Continuous-time quantum walks on dynamical percolation graphs

Cited by in corpus (16)

• Quantum collision models: open system dynamics from repeated interactions
• Stochastic collisional quantum thermometry
• Atomic Quantum Technologies for Quantum Matter and Fundamental Physics Applications
• Strategies to simulate dephasing-assisted quantum transport on digital quantum computers
• Classifying two-body Hamiltonians for Quantum Darwinism
• Spatial search by continuous-time quantum walks on renormalized Internet networks
• Quantum transport efficiency in noisy random-removal and small-world networks
• Simulating Non-Markovian Dynamics in Multidimensional Electronic Spectroscopy via Quantum Algorithm
• Queued quantum collision models
• Optimizing quantum sensing networks via genetic algorithms and deep learning
• Stochastic versus periodic quantum collision models
• Inferring Quantum Network Topologies using Genetic Optimisation of Indirect Measurements
• Violation of the thermodynamic uncertainty relation in quantum collisional models
• Witnessing Objectivity on a Quantum Computer
• Environment-assisted modulation of heat flux in a bio-inspired system based on collision model
• Perturbed graphs achieve unit transport efficiency without environmental noise