Realization of Bernstein-Vazirani quantum algorithm in an
interactive educational game

Realization of Bernstein-Vazirani quantum algorithm in an
interactive educational game

Bernstein-Vazirani algorithms
Gamification
Interactive educational game
Quantum algorithms
Quantum contextualization

Quantum algorithms are celebrated for their computational superiority over classical
counterparts, yet they pose significant learning challenges for non-physics
audiences. Among these, the Bernstein-Vazirani (BV) algorithm stands out for
its quantum speedup by efficiently identifying a secret binary string. However,
the accessibility of such algorithms remains constrained by their inherent technical
complexity. To address this educational gap, this paper introduces a gamified,
web-based tool that innovatively reinterprets the BV algorithm’s complex mathematical
settings through an into engaging scenario of identifying broken lamps.
Players assume the role of an investigator, utilizing both classical and quantum
solvers to identify faulty lamps with minimal queries. By transforming the BV
algorithm into an intuitive gameplay experience, the tool helps reducing technical
barriers, making quantum concepts much more comprehensible for educators
and students than traditional methods that demand rigorous mathematical understanding.
Developed using Qiskit, IBM’s Python package for quantum computation,
and deployed via Flask, a popular Python microframework for building
web applications, the game effectively simplifies complex quantum algorithms
while demonstrating the practical applications of quantum speedup. This contribution
advances quantum education by merging technical depth with interactive
design, fostering a broader understanding of quantum principles and inspiring
new innovations in gamified learning.

David Gosal, Timothy Rudolf Tan, Yozef Tjandra, Hendrik Santoso Sugiarto

Journal homepage: http://journal.uad.ac.id/index.php/TELKOMNIKA

Aug 1, 2025

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