aiqbench analysis
This paper resolves a long-standing gap in quantum simulation theory by proving that the query complexity for Lindblad evolution can be made additive rather than multiplicative, establishing a fundamental limit on oracle access requirements. While the proposed method incurs higher gate complexity due to error suppression techniques, it clarifies the theoretical boundaries between what is achievable with current oracle models versus full gate-based implementations. The work advances our understanding of the intrinsic costs associated with simulating open quantum systems under noisy conditions.
Query-optimal quantum simulation of Lindblad evolution
arXiv:2609.17490v1 Announce Type: new Abstract: For the problem of simulating Lindblad evolution for time $t$ to precision $\epsilon$, Hamiltonian simulation provides an additive query lower bound, informally, $\Omega(t + \mathrm{polylog}(1/\epsilon))$. However, the best previously known algorithms for general Lindblad simulation achieve a multiplicative upper bound, informally, $\mathcal{O}(t\,\mathrm{polylog}(1/\epsilon))$, in gate complexity. It has remained open whether this multiplicative dependence is necessary. In this paper, we close the gap in query complexity by giving an algorithm with optimal additive dependence on evolution time and precision in the block-encoding model. Our approach uses the transducer framework to reduce the query cost of composing first-order approximations to the evolution channel, together with linear combinations of reuse circuits of different lengths to suppress catalyst-removal error. Although our additional gate complexity is higher than that of existing algorithms, our optimal query complexity resolves the question of how much oracle access is fundamentally necessary and identifies the remaining challenge to achieve the optimal gate complexity.
Abstract:For the problem of simulating Lindblad evolution for time $t$ to precision $\epsilon$, Hamiltonian simulation provides an additive query lower bound, informally, $\Omega(t + \mathrm{polylog}(1/\epsilon))$. However, the best previously known algorithms for general Lindblad simulation achieve a multiplicative upper bound, informally, $\mathcal{O}(t\,\mathrm{polylog}(1/\epsilon))$, in gate complexity. It has remained open whether this multiplicative dependence is necessary. In this paper, we close the gap in query complexity by giving an algorithm with optimal additive dependence on evolution time and precision in the block-encoding model. Our approach uses the transducer framework to reduce the query cost of composing first-order approximations to the evolution channel, together with linear combinations of reuse circuits of different lengths to suppress catalyst-removal error. Although our additional gate complexity is higher than that of existing algorithms, our optimal query complexity resolves the question of how much oracle access is fundamentally necessary and identifies the remaining challenge to achieve the optimal gate complexity.
arXiv:2609.17490 [quant-ph]
(or arXiv:2609.17490v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2609.17490 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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