Continuous-time evolution via probabilistic angle interpolation and its applications
arXiv QuantumArchived Apr 06, 2026✓ Full text saved
arXiv:2604.02854v1 Announce Type: new Abstract: We explore the applicability of a stochastic time-evolution algorithm based on probabilistic angle interpolation. To simplify the pre-processing of the algorithm, we take the continuous-time limit, thereby explicitly eliminating Trotter errors and streamlining the resource analysis. We also introduce a noise-mitigation method tailored to it. As demonstrations, we apply the algorithm to two representative problems: estimating the ground-state energy
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✦ AI Summary· Claude Sonnet
Quantum Physics
[Submitted on 3 Apr 2026]
Continuous-time evolution via probabilistic angle interpolation and its applications
Tomoya Hayata, Yuta Kikuchi
We explore the applicability of a stochastic time-evolution algorithm based on probabilistic angle interpolation. To simplify the pre-processing of the algorithm, we take the continuous-time limit, thereby explicitly eliminating Trotter errors and streamlining the resource analysis. We also introduce a noise-mitigation method tailored to it. As demonstrations, we apply the algorithm to two representative problems: estimating the ground-state energy of the H_3^+ molecular Hamiltonian and computing out-of-time-ordered correlators in the sparse Sachdev--Ye--Kitaev model. We evaluate the protocol's performance through numerical simulations and experiments on a trapped-ion quantum computer, Quantinuum Reimei.
Comments: 9 pages, 7 figures
Subjects: Quantum Physics (quant-ph)
Report number: RIKEN-iTHEMS-Report-26
Cite as: arXiv:2604.02854 [quant-ph]
(or arXiv:2604.02854v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2604.02854
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Submission history
From: Yuta Kikuchi [view email]
[v1] Fri, 3 Apr 2026 08:15:13 UTC (774 KB)
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