Explorerβ€ΊQuantum Computingβ€ΊQuantum Physics
Research PaperResearchia:202609.11072

Oracle Separations in the Fourier Hierarchy

Atul Mantri

Abstract

The Fourier hierarchy $\mathrm{FH}_0\subseteq\mathrm{FH}_1\subseteq\mathrm{FH}_2\subseteq\cdots$, introduced by Shi (TCS 2005), measures a quantum computation by the number of Hadamard layers it uses. Between two layers the circuit may permute basis states and attach phases, but it may not create superposition; the layers are its only source of interference. The first level is exactly $\mathrm{BPP}$, while the second already solves Simon's problem and, through phase estimation, factors integers....

Submitted: September 11, 2026Subjects: Quantum Physics; Quantum Computing

Description / Details

The Fourier hierarchy FH0βŠ†FH1βŠ†FH2βŠ†β‹―\mathrm{FH}_0\subseteq\mathrm{FH}_1\subseteq\mathrm{FH}_2\subseteq\cdots, introduced by Shi (TCS 2005), measures a quantum computation by the number of Hadamard layers it uses. Between two layers the circuit may permute basis states and attach phases, but it may not create superposition; the layers are its only source of interference. The first level is exactly BPP\mathrm{BPP}, while the second already solves Simon's problem and, through phase estimation, factors integers. Shi conjectured that every additional layer strictly increases computational power, and asked, as a first step, for oracle separations between consecutive levels. To our knowledge, the question was open at every level kβ‰₯2k\ge2. We prove that for every constant kβ‰₯2k\ge2 there is an oracle relative to which FHk⊊FHk+1\mathrm{FH}_k\subsetneq\mathrm{FH}_{k+1}. The separating problem is built from Forrelation (Aaronson and Ambainis, STOC 2015): the level above solves it with a constant number of queries, whereas at level kk it stays hard even for circuits making exponentially many queries. This holds for both of the usual ways of giving a circuit access to an oracle, the phase oracle and the standard oracle, which writes its answer into a register. The two are not interchangeable: relative to an oracle, the standard oracle is strictly more powerful at the same number of layers. We also separate the union of all the levels from BQP\mathrm{BQP} relative to an oracle. The lower bounds rest on a structural property of the hierarchy: the number of Hadamard layers limits how adaptively a circuit can query its oracle. With a phase oracle, a circuit with kk layers is reproduced exactly by an algorithm making only kβˆ’1k-1 rounds of parallel queries, which brings known lower bounds for such algorithms to bear. The standard oracle lets a circuit branch on earlier answers, and that case needs a separate argument.


Source: arXiv:2609.11830v1 - http://arxiv.org/abs/2609.11830v1 PDF: https://arxiv.org/pdf/2609.11830v1 Original Link: http://arxiv.org/abs/2609.11830v1

Please sign in to join the discussion.

No comments yet. Be the first to share your thoughts!

Access Paper
View Source PDF
Submission Info
Date:
Sep 11, 2026
Topic:
Quantum Computing
Area:
Quantum Physics
Comments:
0
Bookmark