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Tight Quantum Lower Bound for Approximate Counting with Quantum States

  • Nagoya University

Research output: Contribution to journalArticlepeer-review

Abstract

We prove tight lower bounds for the following variant of the counting problem considered by Aaronson et al. (in: Proceedingsof 35th IEEE CCC, 2020). The task is to distinguish whether an input set x⊆[n] has size either k or k′=(1+ε)k.We assume the algorithm has access to: the membership oracle, which, for each i∈[n], can answer whether i∈x, or not; and the uniform superposition |ψx⟩=∑i∈x|i⟩/|x| over the elements of x. Moreover, we consider three different ways how the algorithm can access this state: - the algorithm can have copies of the state |ψx⟩; - the algorithm can execute the reflecting oracle which reflects about the state |ψx⟩; - the algorithm can execute the state-generating oracle (or its inverse) which performs the transformation |0⟩↦|ψx⟩. Without the second type of resources (the ones related to |ψx⟩), the problem is well-understood, see Brassard et al. (in: Proceedings of the 25th ICALP, 1998. The study of the problem with the second type of resources was recently initiated by Aaronson et al. (in: Proceedings of 35th IEEE CCC, 2020. We completely resolve the problem for all values of 1/k≤ε≤1, giving tight trade-offs between all types of resources available to the algorithm. We also demonstrate that our lower bounds are tight. Thus, we close the main open problems from Aaronson et al. (in: Proceedings of 35th IEEE CCC, 2020). The lower bounds are proven using variants of the adversary bound (Belovs, in:Variations on Quantum Adversary, 2015) and employing representation theory of the symmetric group applied to the Sn-modules C[n]k and C[n]k⊗Cn.

Original languageEnglish
Article number2
JournalComputational Complexity
Volume35
Issue number1
DOIs
Publication statusPublished - Jun 2026

Keywords

  • 68Q12
  • 68Q17
  • quantum adversary bound
  • quantum lower bounds
  • quantum query complexity
  • representation theory of the symmetric group

OECD Field of Science

  • 1.2 Computer and Information Sciences

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