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Theoretical physicists working at a blackboard collaboration pod in the Beecroft building.
Credit: Jack Hobhouse

Steve Simon

Professorial Research Fellow and Professorial Fellow of Somerville College

Sub department

  • Rudolf Peierls Centre for Theoretical Physics

Research groups

  • Condensed Matter Theory
steven.simon@physics.ox.ac.uk
Telephone: 01865 (2)73954
Rudolf Peierls Centre for Theoretical Physics, room 70.06
  • About
  • Publications

How SU(2)$_4$ Anyons are Z$_3$ Parafermions

(2017)

Authors:

Richard Fern, Johannes Kombe, Steven H Simon
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Quantum Hall physics: Hierarchies and conformal field theory techniques

REVIEWS OF MODERN PHYSICS 89:2 (2017) ARTN 025005

Authors:

TH Hansson, M Hermanns, SH Simon, SF Viefers
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Quantum Hall Edges with Hard Confinement: Exact Solution beyond Luttinger Liquid

Physical Review B American Physical Society 95 (2017) 201108(R)

Authors:

Richard Fern, Steven Simon

Abstract:

We consider a Laughlin droplet in a confining potential which is very steep but also weak compared to the ultra-short ranged inter-particle interactions. We find that the eigenstates have a Jack polynomial structure, and have an energy spectrum which is extremely different from the well known Luttinger liquid edge.
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Efficient representation of fully many-body localized systems using tensor networks

Physical Review X American Physical Society 7:2 (2017) 021018

Authors:

Thorsten B Wahl, Arijeet Pal, Steven Simon

Abstract:

We propose a tensor network encoding the set of all eigenstates of a fully many-body localized system in one dimension. Our construction, conceptually based on the ansatz introduced in Phys. Rev. B 94, 041116(R) (2016), is built from two layers of unitary matrices which act on blocks of \ell contiguous sites. We argue this yields an exponential reduction in computational time and memory requirement as compared to all previous approaches for finding a representation of the complete eigenspectrum of large many-body localized systems with a given accuracy. Concretely, we optimize the unitaries by minimizing the magnitude of the commutator of the approximate integrals of motion and the Hamiltonian, which can be done in a local fashion. This further reduces the computational complexity of the tensor networks arising in the minimization process compared to previous work. We test the accuracy of our method by comparing the approximate energy spectrum to exact diagonalization results for the random field Heisenberg model on 16 sites. We find that the technique is highly accurate deep in the localized regime and maintains a surprising degree of accuracy in predicting certain local quantities even in the vicinity of the predicted dynamical phase transition. To demonstrate the power of our technique, we study a system of 72 sites and we are able to see clear signatures of the phase transition. Our work opens a new avenue to study properties of the many-body localization transition in large systems.
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Strong Peak in Tc of Sr2RuO4 Under Uniaxial Pressure

Science (2017)

Authors:

A Stepke, L Zhao, M Barber, T Scaffid, F Jerzembek, H Rosner, A Gibbs, Y Maeno, SH Simon, A Mackenzie, C Hicks
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