2021/05/07 by S. Säubert, Colin L. Sarkis, Säubert, S. +10
Physics and Astronomy · #Condensed matter physics #Dipole #FOS: Physical sciences #Ferromagnetism #Ising model #Neutron scattering #Physics #Quantum #Quantum and electron transport phenomena #Quantum annealing #Quantum computer #Quantum fluctuation #Quantum many-body systems #Quantum mechanics #Scattering #Strongly Correlated Electrons (cond-mat.str-el) #Theoretical and Computational Physics #cond-mat.str-el
paper · pdf · doi:10.48550/arxiv.2105.03408
openalex publication_date 2021/05/07 · openalex created_date 2021/05/24 · arxiv created 2021/05/25 · arxiv updated 2021/05/27 · openalex updated_date 2026/07/28
Quantum annealing (QA) refers to an optimization process that uses quantum fluctuations to find the global minimum of a rugged energy landscape with many local minima. Conceptually, QA is often framed in the context of the disordered transverse field Ising model, in which a magnetic field applied perpendicular to the Ising axis tunes the quantum fluctuations and enables the system to tunnel through energy barriers, and hence reach the ground state more quickly. A solid state material closely related to this model, LiHo0.45Y0.55F4, was shown to exhibit faster dynamics after a QA protocol, compared to thermal annealing (TA), but little is known about the actual process of optimization involved or the nature of the spin correlations in the state that is reached. Here, we report on the microscopics of QA in this material using diffuse magnetic neutron scattering. Comparing a QA to a TA protocol that reach the same end-point, we find very similar final diffuse scattering which consists of pinch-point scattering, largely consistent with critical scattering near a phase boundary in the dipolar Ising ferromagnetic model. However, comparing the time evolution at the end of the protocols, we find that the spin correlations evolve more significantly after TA, suggesting that QA produces a state closer to equilibrium. We also observe experimental evidence that the transverse field produces random fields, which had been previously predicted for this material and studied in other contexts. Thus, while the material does exhibit a quantum speedup under quantum annealing conditions, it is not a simple annealing problem; the energy landscape being optimized is changing as the optimization proceeds.