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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Practical Experience with IBM Q Quantum Computer: Bernstein–Vazirani Algorithm

Authors: Pavlov, Mikhail;

Practical Experience with IBM Q Quantum Computer: Bernstein–Vazirani Algorithm

Abstract

Abstract This study presents practical experience implementing the Bernstein–Vazirani algorithm on the IBM Q quantum computing platform, focusing on energy-efficient and reversible computation guided by Landauer’s principle. The work highlights the role of fundamental quantum logic gates—including CNOT, NOT, CCNOT, OR, and XOR—in constructing scalable, reversible circuits. By applying these principles, the Bernstein–Vazirani algorithm demonstrates an efficient solution to the problem of determining a hidden binary vector with a minimal number of queries, showcasing the potential for quantum computational speedup and optimization of information processing. The research emphasizes the importance of reversible quantum operations in improving computational efficiency and expanding the capabilities of modern quantum systems.

Keywords

Quantum Computing; Bernstein–Vazirani Algorithm; IBM Q; Reversible Computation; Landauer's Principle; Quantum Logic Gates; Quantum Information Processing; Energy-Efficient Computation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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