aiqbench analysis
This research addresses critical resource constraints in quantum algorithms by introducing methods to minimize ancilla qubit overhead during block encoding operations. The authors demonstrate significant efficiency gains through space-time and space-accuracy tradeoffs, proving that approximate multiplication can be achieved with minimal ancillae without sacrificing high precision. These findings are essential for optimizing the scalability of near-term quantum processors where qubit count remains a primary bottleneck.
Methods for Reducing Ancilla-Overhead in Block Encodings
arXiv:2507.07900v3 Announce Type: replace Abstract: Block encodings are a fundamental primitive in quantum algorithms, but can often have large ancilla overhead. In this work, we introduce novel techniques for reducing this overhead in two distinct ways. In Part I, we prove the existence of a "space-time tradeoff" by deriving an algorithm that, for any block encoding, approximately uncomputes all but one of its ancilla (freeing up those ancillae for reuse in later parts of a quantum algorithm). In Part II, we evaluate the minimum number of ancillae required to perform coherent multiplication of block encodings and introduce a "space-accuracy tradeoff". Specfically, we prove that logarithmic ancillae is optimal for exact multiplication of block encodings, but show that (in certain block encoding regimes) approximate multiplication of block encodings can be achieved to high-precision with just one ancilla.
Abstract:Block encodings are a fundamental primitive in quantum algorithms, but can often have large ancilla overhead. In this work, we introduce novel techniques for reducing this overhead in two distinct ways. In Part I, we prove the existence of a "space-time tradeoff" by deriving an algorithm that, for any block encoding, approximately uncomputes all but one of its ancilla (freeing up those ancillae for reuse in later parts of a quantum algorithm). In Part II, we evaluate the minimum number of ancillae required to perform coherent multiplication of block encodings and introduce a "space-accuracy tradeoff". Specfically, we prove that logarithmic ancillae is optimal for exact multiplication of block encodings, but show that (in certain block encoding regimes) approximate multiplication of block encodings can be achieved to high-precision with just one ancilla.
arXiv:2507.07900 [quant-ph]
(or arXiv:2507.07900v3 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2507.07900 Focus to learn more arXiv-issued DOI via DataCite
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Full text under the publisher's open licence · 220 words
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