Distinct critical behaviors from the same state in quantum spin and population dynamics perspectives

© 2021 American Physical Society. There is a deep connection between the ground states of transverse-field spin systems and the late-time distributions of evolving viral populations - within simple models, both are obtained from the principal eigenvector of the same matrix. However, that vector is t...

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Bibliographic Details
Main Authors: Baldwin, CL (Author), Shivam, S (Author), Sondhi, SL (Author), Kardar, M (Author)
Format: Article
Language:English
Published: American Physical Society (APS), 2022-04-20T18:06:01Z.
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Online Access:Get fulltext
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100 1 0 |a Baldwin, CL  |e author 
700 1 0 |a Shivam, S  |e author 
700 1 0 |a Sondhi, SL  |e author 
700 1 0 |a Kardar, M  |e author 
245 0 0 |a Distinct critical behaviors from the same state in quantum spin and population dynamics perspectives 
260 |b American Physical Society (APS),   |c 2022-04-20T18:06:01Z. 
856 |z Get fulltext  |u https://hdl.handle.net/1721.1/141987 
520 |a © 2021 American Physical Society. There is a deep connection between the ground states of transverse-field spin systems and the late-time distributions of evolving viral populations - within simple models, both are obtained from the principal eigenvector of the same matrix. However, that vector is the wave-function amplitude in the quantum spin model, whereas it is the probability itself in the population model. We show that this seemingly minor difference has significant consequences: Phase transitions that are discontinuous in the spin system become continuous when viewed through the population perspective, and transitions that are continuous become governed by new critical exponents. We introduce a more general class of models that encompasses both cases and that can be solved exactly in a mean-field limit. Numerical results are also presented for a number of one-dimensional chains with power-law interactions. We see that well-worn spin models of quantum statistical mechanics can contain unexpected new physics and insights when treated as population-dynamical models and beyond, motivating further studies. 
546 |a en 
655 7 |a Article 
773 |t 10.1103/PHYSREVE.103.012106 
773 |t Physical Review E