Fig. 3: Efficiency of Hamiltonian simulation framework. | Nature Physics

Fig. 3: Efficiency of Hamiltonian simulation framework.

From: Programmable simulations of molecules and materials with reconfigurable quantum processors

Fig. 3

Estimates of the quantum simulation’s coherence time Tsc, in the target Hamiltonian’s units HTlocal for various models. We consider Hamiltonian simulation implemented using the dual driving gates from Fig. 2b and assume a depolarizing error probability proportional to the gate time, such that ΩT/2π = 1 incurs an error of 0.1%, which is projected to be achievable with neutral atoms51,87,88. Analogous estimates can be performed straightforwardly for different hardware-dependent error rates using equation (32), which rescales Tsc but does not change the trend. In all cases, we compare against an implementation using two-qubit CPhase gates with fidelity 99.9% and perfect single-qubit rotations (see Methods for detailed descriptions of the heuristic estimation procedure). a, The first two two models are (i) the spin-1/2 Kagome Heisenberg model and (ii) two interacting spin-5/2's with Heisenberg and Dzyaloshinskii–Moriya (DM) terms, both of which are composed of only two-qubit interactions. In (i), a speed-up is achieved by utilizing three-qubit multi-qubit gates \({e}^{-i\tau {{\hat{\bf{S}}}}^{2}}\), which more efficiently generates Heisenberg interactions and reduces the period of the Floquet cycle from K = 4 to K = 2. In (ii), improvement is achieved using dynamical projection, which reduces K from 2S to 2 but at the cost of additional multi-qubit gates. b, Two complex spin models which include spin interactions up to (iii) bi-quadratic interactions \({J}_{1}({{\hat{\bf{S}}}}_{i}\cdot {{\hat{\bf{S}}}}_{j})+{J}_{2}{({{\hat{\bf{S}}}}_{i}\cdot {{\hat{\bf{S}}}}_{j})}^{2}\) and (iv) bi-quartic interactions \({({{\hat{\bf{S}}}}_{i}\cdot {{\hat{\bf{S}}}}_{j})}^{4}\). These correspond to four-body and eight-body qubit interactions, respectively. In (iii), the dramatic speed-up originates from using dynamical projection to reduce the Floquet period, as well as the hardware efficiency of a native four-qubit gate. The individual contribution to the speed-up from both sources is also analysed in Methods. In (iv), the speed-up arises fully from the hardware efficiency of native eight-qubit operations.

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