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Reaching states below the threshold energy in spin glasses via quantum annealing

Christopher L. Baldwin

Abstract

Although quantum annealing is usually considered as a method for locating the ground states of difficult spin-glass and optimization problems, its use in approximate optimization -- finding low- but not zero-energy states in a reasonably short amount of time -- is no less important. Here we investigate the behavior of quantum annealing at approximate optimization in the canonical mean-field spin-glass models, the spherical $p$-spin models, and find that it performs surprisingly well. Whereas it had long been assumed that infinite-range spin glasses have a unique ``threshold'' energy at which all quench and annealing dynamics become trapped until exponential timescales, recent work has shown that two-stage quenches can in fact reach states below the naive threshold in more generic situations. We demonstrate that quantum annealing is also capable of exploiting this effect to locate sub-threshold states in $O(1)$ time. Not only can it attain energies as far below the threshold as classical annealing algorithms, but it can do so significantly faster: for an annealing schedule taking time $τ$, the residual energy under quantum annealing decays as $τ^{-α}$ with an exponent up to twice as large as that of simulated annealing in the cases considered. Importantly, by deriving and numerically solving closed integro-differential equations that hold in the thermodynamic limit, our results are free from finite-size effects and hold for annealing times that are unambiguously independent of system size.

Reaching states below the threshold energy in spin glasses via quantum annealing

Abstract

Although quantum annealing is usually considered as a method for locating the ground states of difficult spin-glass and optimization problems, its use in approximate optimization -- finding low- but not zero-energy states in a reasonably short amount of time -- is no less important. Here we investigate the behavior of quantum annealing at approximate optimization in the canonical mean-field spin-glass models, the spherical -spin models, and find that it performs surprisingly well. Whereas it had long been assumed that infinite-range spin glasses have a unique ``threshold'' energy at which all quench and annealing dynamics become trapped until exponential timescales, recent work has shown that two-stage quenches can in fact reach states below the naive threshold in more generic situations. We demonstrate that quantum annealing is also capable of exploiting this effect to locate sub-threshold states in time. Not only can it attain energies as far below the threshold as classical annealing algorithms, but it can do so significantly faster: for an annealing schedule taking time , the residual energy under quantum annealing decays as with an exponent up to twice as large as that of simulated annealing in the cases considered. Importantly, by deriving and numerically solving closed integro-differential equations that hold in the thermodynamic limit, our results are free from finite-size effects and hold for annealing times that are unambiguously independent of system size.
Paper Structure (51 equations, 3 figures)

This paper contains 51 equations, 3 figures.

Figures (3)

  • Figure 1: Average energy density $\epsilon(\tau)$ at the end of various protocols as a function of protocol runtime $\tau$, for the pure model $f[Q] = Q^3$. Each set of points is fit to a power-law decay (Eq. \ref{['eq:power_law_decay']}), with the fitted curve shown as the solid colored line. The large-$\tau$ limit of the fitted curve is indicated by the dashed colored line, and the solid black line indicates the threshold energy $\epsilon_{\textrm{th}}$ (Eq. \ref{['eq:mixed_threshold_energy']}). Calculations for all protocols use $\Delta t = 0.1$.
  • Figure 2: Average energy density $\epsilon(\tau)$ at the end of various protocols as a function of protocol runtime $\tau$, for the mixed model $f[Q] = Q^3 + Q^{14}$. Each set of points is fit to a power-law decay (Eq. \ref{['eq:power_law_decay']}), with the fitted curve shown as the solid colored line. The large-$\tau$ limit of the fitted curve is indicated by the dashed colored line, and the solid black line indicates the threshold energy $\epsilon_{\textrm{th}}$ (Eq. \ref{['eq:mixed_threshold_energy']}). Calculations for the quench and two-stage quench use $\Delta t = 0.02$, while those for the anneals use $\Delta t = 0.04$.
  • Figure 3: Fitted exponents $\alpha$ (Eq. \ref{['eq:power_law_decay']}) for various protocols in the mixed model $f[Q] = Q^3 + Q^p$, as a function of $p$. Calculations for the quench and two-stage quench use timestep $\Delta t = 0.02$, while those for the anneals use $\Delta t = 0.04$.