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