Polymer Physics by Quantum Computing
Micheletti C., Hauke P., Faccioli P.
ALGORITHM Physics - Statistical Mechanic Condensed Matter - Soft Condensed Matter RING POLYMERS Soft Condensed Matter (cond-mat.soft) Quantum Physics (quant-ph) Quantum Physics Statistical Mechanics (cond-mat.stat-mech) FOS: Physical sciences Physics - Statistical Mechanics General Physics and Astronomy MONTE-CARLO SELF-AVOIDING WALKS Physics - Soft Condensed Matter Condensed Matter - Statistical Mechanics SIMULATIONS Settore FIS/03 - Fisica della Materia
Sampling equilibrium ensembles of dense polymer mixtures is a paradigmatically hard problem in computational physics, even in lattice-based models. Here, we develop a formalism based on interacting binary tensors that allows for tackling this problem using quantum annealing machines. Our approach is general in that properties such as self-Avoidance, branching, and looping can all be specified in terms of quadratic interactions of the tensors. Microstates' realizations of different lattice polymer ensembles are then seamlessly generated by solving suitable discrete energy-minimization problems. This approach enables us to capitalize on the strengths of quantum annealing machines, as we demonstrate by sampling polymer mixtures from low to high densities, using the D-Wave quantum annealer. Our systematic approach offers a promising avenue to harness the rapid development of quantum machines for sampling discrete models of filamentous soft-matter systems.
Source: Physical review letters 127 (2021): 080501-1–080501-7. doi:10.1103/PhysRevLett.127.080501
Publisher: American Physical Society, College Park, MD , Stati Uniti d'America
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@article{oai:it.cnr:prodotti:477701,
title = {Polymer Physics by Quantum Computing},
author = {Micheletti C. and Hauke P. and Faccioli P.},
publisher = {American Physical Society, College Park, MD , Stati Uniti d'America},
doi = {10.1103/physrevlett.127.080501 and 10.48550/arxiv.2104.10102},
journal = {Physical review letters},
volume = {127},
pages = {080501},
year = {2021}
}
