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This paper establishes asymptotically tight lower bounds on the gate complexity required to simulate quantum time evolution, challenging previous assumptions derived from block-encoding models. The authors demonstrate that for physical systems with power-law interactions, resource requirements must scale polynomially in $1/\epsilon$ rather than logarithmically. This fundamental result clarifies the computational limits of simulating realistic Hamiltonians using composite qDRIFT and high-order Trotterization techniques.
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Optimal Lower Bounds for Hamiltonian Simulation

arXiv2 min read

arXiv:2607.19852v1 Announce Type: new Abstract: For Hamiltonian $H = \sum_j h_j$, we prove asymptotically tight lower bounds on the gate and query complexities of simulating time evolution on a quantum computer. Our bounds hold for arbitrary term norms $\|h_j\|$, time $t$, and trace-distance error $\epsilon$. The matching upper bound (known as composite qDRIFT) consists of high-order Trotterization of the large terms and a randomized first-order Trotterization of the small terms. Unlike prior work that chooses worst-case $\|h_j\|$ to encode the computation of parity or other Boolean functions in time evolution, our proof is elementary and based on a local, bounded-degree classical Hamiltonian. Our work suggests that for many physical systems (e.g., power-law interactions), gate count must scale polynomially in $1/\epsilon$, contrary to the complexity suggested by counting coherent oracle queries such as those in the block-encoding model.

Abstract:For Hamiltonian $H = \sum_j h_j$, we prove asymptotically tight lower bounds on the gate and query complexities of simulating time evolution on a quantum computer. Our bounds hold for arbitrary term norms $\|h_j\|$, time $t$, and trace-distance error $\epsilon$. The matching upper bound (known as composite qDRIFT) consists of high-order Trotterization of the large terms and a randomized first-order Trotterization of the small terms. Unlike prior work that chooses worst-case $\|h_j\|$ to encode the computation of parity or other Boolean functions in time evolution, our proof is elementary and based on a local, bounded-degree classical Hamiltonian. Our work suggests that for many physical systems (e.g., power-law interactions), gate count must scale polynomially in $1/\epsilon$, contrary to the complexity suggested by counting coherent oracle queries such as those in the block-encoding model.

arXiv:2607.19852 [quant-ph]

(or arXiv:2607.19852v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2607.19852 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 223 words

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