Optimal Circuit Size for Fixed-Hamming-Weight Quantum States Preparation

Fuente: arXiv
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Autores principales: Luo, Jingquan, Li, Lvzhou
Formato: Preprint
Publicado: 2025
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author Luo, Jingquan
Li, Lvzhou
author_facet Luo, Jingquan
Li, Lvzhou
contents We study the problem of efficiently preparing fixed-Hamming-weight (HW-$k$) quantum states, which are superpositions of $n$-qubit computational basis states with exactly $k$ ones. We present a quantum circuit construction that prepares any $n$-qubit HW-$k$ state with a circuit size of $O(\binom{n}{k})$ using at most $\max\{0, n-3\}$ ancillary qubits. This is the first construction that achieves the theoretical lower bound on circuit size while using only a small number of ancillary qubits. We believe that the techniques presented in this work can be extended to other quantum state preparation algorithms based on decision diagrams, potentially reducing the reliance on ancillary qubits or lowering the overall circuit size.
format Preprint
id arxiv_https___arxiv_org_abs_2508_17197
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Optimal Circuit Size for Fixed-Hamming-Weight Quantum States Preparation
Luo, Jingquan
Li, Lvzhou
Quantum Physics
We study the problem of efficiently preparing fixed-Hamming-weight (HW-$k$) quantum states, which are superpositions of $n$-qubit computational basis states with exactly $k$ ones. We present a quantum circuit construction that prepares any $n$-qubit HW-$k$ state with a circuit size of $O(\binom{n}{k})$ using at most $\max\{0, n-3\}$ ancillary qubits. This is the first construction that achieves the theoretical lower bound on circuit size while using only a small number of ancillary qubits. We believe that the techniques presented in this work can be extended to other quantum state preparation algorithms based on decision diagrams, potentially reducing the reliance on ancillary qubits or lowering the overall circuit size.
title Optimal Circuit Size for Fixed-Hamming-Weight Quantum States Preparation
topic Quantum Physics
url https://arxiv.org/abs/2508.17197