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Database Reordering for Compact Grover Oracles with ESOP Minimization

arXiv Quantum Physics
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⚡ Quantum Brief
Researchers Yusuke Kimura and Yutaka Takita propose a method to optimize Grover’s algorithm by reordering database entries to reduce quantum circuit size, addressing the longstanding issue of high gate counts in quantum state preparation circuits. Their approach uses Quantum Read-Only Memory (QROM) with freely permutable address assignments, applying Exclusive Sum-of-Products (ESOP) minimization to shrink the resulting truth table and circuit complexity while preserving data integrity. A novel proxy metric estimates circuit size without full compilation, enabling efficient optimization via simulated annealing to find near-optimal data orderings, cutting circuit size by roughly 30% compared to unordered ESOP minimization. Experiments on small databases (N=8) show circuit size variations up to 50% depending on ordering, proving reordering’s impact. For larger datasets (N=64, 128), simulated annealing outperforms random search in finding compact circuits. The work advances practical Grover oracle implementation by demonstrating scalable, near-optimal circuit reductions, critical for real-world quantum speedups in unstructured search problems.
Database Reordering for Compact Grover Oracles with ESOP Minimization

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Quantum Physics arXiv:2604.06578 (quant-ph) [Submitted on 8 Apr 2026] Title:Database Reordering for Compact Grover Oracles with ESOP Minimization Authors:Yusuke Kimura, Yutaka Takita View a PDF of the paper titled Database Reordering for Compact Grover Oracles with ESOP Minimization, by Yusuke Kimura and 1 other authors View PDF HTML (experimental) Abstract:Grover's algorithm searches for data satisfying a desired condition in an unstructured database. This algorithm can search a space of size $N$ in $\sqrt{N}$ queries, thereby achieving a quadratic speedup. However, within the Grover oracle circuit that is repeatedly applied, the quantum state preparation circuit -- which embeds database information into quantum states -- suffers from a large gate count and circuit depth. To address this problem, we propose reducing the quantum state preparation circuit by reordering the database. Specifically, we consider a Quantum Read-Only Memory (QROM), where data are assigned to addresses, and assume that the address assignment of data can be freely permuted. By applying Exclusive Sum-of-Products (ESOP) minimization to the resulting truth table, we reduce the quantum circuit. Although the resulting circuit logic differs from the original, the state preparation remains correct in the sense that every desired datum is encoded at some address. Furthermore, we propose a proxy metric that estimates circuit size without compilation, and combine it with simulated annealing to efficiently find a near-optimal data ordering. In our experiments, an exhaustive search over all orderings for databases of size $N=8$ reveals that circuit size varies by up to approximately a factor of two depending on the ordering, demonstrating the utility of reordering. Compared with applying ESOP minimization without reordering, simulated annealing reduces the circuit size by approximately 30\% and yields circuits close to optimal. For $N=64$ and $128$, simulated annealing is shown to discover smaller circuits compared with random search. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2604.06578 [quant-ph] (or arXiv:2604.06578v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2604.06578 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Yusuke Kimura [view email] [v1] Wed, 8 Apr 2026 02:02:22 UTC (999 KB) Full-text links: Access Paper: View a PDF of the paper titled Database Reordering for Compact Grover Oracles with ESOP Minimization, by Yusuke Kimura and 1 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-04 References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)

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Source: arXiv Quantum Physics