Strategies to simulate dephasing-assisted quantum transport on digital quantum computers
Federico Gallina, Matteo Bruschi, Barbara Fresch

TL;DR
This paper introduces two quantum algorithms to simulate environment-assisted quantum transport in molecular networks on digital quantum computers, demonstrating their efficiency and distinct unravellings of the master equation.
Contribution
It presents novel algorithms based on stochastic Hamiltonians and collision schemes for simulating ENAQT, with efficient qubit scaling and analysis of their unravellings.
Findings
Both algorithms are memory efficient with logarithmic qubit scaling.
Simulation results on a quantum emulator demonstrate the algorithms' effectiveness.
Distinct unravellings of the master equation are realized by the two approaches.
Abstract
Simulating charge and energy transfer in extended molecular networks requires an effective model to include the environment because it significantly affects the quantum dynamics. A prototypical effect known as Environment-Assisted Quantum Transport (ENAQT) consists in the modulation and sometimes enhancement of the transfer efficiency by the interaction with an environment. A simple description of this phenomenon is obtained by a quantum master equation describing a quantum walk over the molecular network in the presence of inter-site decoherence. We consider the problem of simulating the dynamics underlying ENAQT in a digital quantum computer. Two different quantum algorithms are introduced, the first one based on stochastic Hamiltonians and the second one based on a collision scheme. We test both algorithms by simulating ENAQT in a small molecular network on a quantum computer…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Spectroscopy and Quantum Chemical Studies · Quantum-Dot Cellular Automata
