A Quantum-Search-Based Algorithm for the 0-1 Knapsack Problem

The knapsack problem is an important example of a combinatorial optimization problem with a wide range of applications in direct practical applications. In this article, the author considers the classical version of the problem (0-1 knapsack) and proposes a quantum algorithm for solving it based on a hybrid approach that combines the Grover quantum search algorithm with the procedure for finding the Durr–Hoyer minimum. The paper presents an analysis of the computational complexity of the proposed algorithm, and in addition to theoretical analysis, the article contains an explicit description of the quantum circuit implementing the proposed algorithm.

Authors

Institutions

Publication Details

Journal
Russian Microelectronics
Published
2025-12-01
DOI
https://doi.org/10.1134/s1063739725602000
Primary Topic
Optimization and Packing Problems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Quantum-Search-Based Algorithm for the 0-1 Knapsack Problem

K. A. Stepanenko
Russian Microelectronics
Optimization and Packing Problems
article

A Quantum-Search-Based Algorithm for the 0-1 Knapsack Problem

K. A. Stepanenko
article en

Abstract

The knapsack problem is an important example of a combinatorial optimization problem with a wide range of applications in direct practical applications. In this article, the author considers the classical version of the problem (0-1 knapsack) and proposes a quantum algorithm for solving it based on a hybrid approach that combines the Grover quantum search algorithm with the procedure for finding the Durr–Hoyer minimum. The paper presents an analysis of the computational complexity of the proposed algorithm, and in addition to theoretical analysis, the article contains an explicit description of the quantum circuit implementing the proposed algorithm.

Russian MicroelectronicsVol. 54(8)
Kazan Federal University (RU), Kazan Scientific Center (RU)
Openalex Percentile: Top 24%
Optimization and Packing Problems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.