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Quantum Studies Mathematics and Foundations

Generalization of the Bernstein–Vazirani algorithm beyond qubit systems

Koji Nagata, Han J.F. Geurdes, Santanu Kumar Patro, Shahrokh Heidari, Ahmed Farouk, Tadao Nakamura

Published May 20, 2019• 8 citations
Publisher
DOI
10.1007/s40509-019-00196-4

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First, we review the Bernstein-Vazirani algorithm for determining a bit string. Next, we discuss the generalized Bernstein-Vazirani algorithm for determining a natural number string. Finally, we discuss the generalized Bernstein-Vazirani algorithm for determining an integer string. All of the generalized algorithms presented here have the following structure. Given the set of real values {a1,a2,a3,…,aN}\{a_1,a_2,a_3,\ldots,a_N\}{a1​,a2​,a3​,…,aN​} and a special function ggg, we determine NNN values of the function g(a1),g(a2),g(a3),…,g(aN)g(a_1),g(a_2),g(a_3),\ldots, g(a_N)g(a1​),g(a2​),g(a3​),…,g(aN​) simultaneously. The speed of determining the strings is shown to outperform the best classical case by a factor of NNN in every case.
A quantum algorithm to solve the parity problem is better than its most efficient classical counter- part with a separation that is polynomial in the number of queries. This was shown by E. Bernstein and U. Vazirani and was one of the earliest indications that the quantum information processing can outperform the classical one by a significant margin. The problem and its solution both is usually stated for a 2-level system since we generally work with bits/qubits. However, many works have been done generalizing known quantum computing techniques to higher level systems. Following this, we look at a generalization of the Bernstein-Vazirani algorithm implemented on a general qudit system.