This analysis reveals structural lower bounds on query complexity in quantum telescoping methods, suggesting implications for algorithm efficiency.
This paper establishes structural lower bounds on query complexity and refinement cost forquantum telescoping schemes. Building on the channel-level telescoping framework developed inParts I and II, we show that the decay rate of telescoping increments directly constrains the minimumnumber of oracle queries required to achieve a given simulation accuracy within the class ofrefinement-structured algorithms. We prove general lower bounds relating power-law telescopingorder to polynomial query complexity, and show that exponential telescoping is necessaryto achieve logarithmic dependence on the error tolerance. These results explain, from a structuralperspective, why quantum signal processing (QSP) and related eigenvalue-transformationmethods attain near-optimal ε-dependence in standard block-encoding models [3, 7, 8], whileproduct-formula and randomized product-formula methods remain algebraically convergent inε [10, 11]. Our analysis applies to unitary channels, CPTP maps, and block-encoded oraclemodels, and provides a unifying framework relating algorithmic structure to query complexity.We clarify the relationship between our results and known information-theoretic lower bounds,positing our theorems as structural constraints on algorithmic approaches rather than fundamentaloracle lower bounds.
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Joshua Bald (2026) studied this question.
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