A generalization of Bernstein-Vazirani algorithm with multiple secret keys and a probabilistic oracle
Alok Shukla, Prakash Vedula

TL;DR
This paper introduces a quantum algorithm for a probabilistic Bernstein-Vazirani problem involving multiple secret keys, enabling efficient key retrieval with high probability, surpassing classical limitations.
Contribution
It generalizes the Bernstein-Vazirani algorithm to handle multiple secret keys and probabilistic oracles, providing a quantum solution with high success probability.
Findings
Quantum algorithm finds any secret key with certainty using one query.
Quantum algorithm can find all keys with high probability.
Classical algorithms cannot guarantee exact key retrieval in this setting.
Abstract
A probabilistic version of the Bernstein-Vazirani problem (which is a generalization of the original Bernstein-Vazirani problem) and a quantum algorithm to solve it are proposed. The problem involves finding one or more secret keys from a set of multiple secret keys (encoded in binary form) using a quantum oracle. From a set of multiple unknown keys, the proposed quantum algorithm is capable of (a) obtaining any key (with certainty) using a single query to the probabilistic oracle and (b) finding all keys with a high probability (approaching 1 in the limiting case). In contrast, a classical algorithm will be unable to find even a single bit of a secret key with certainty (in the general case). Owing to the probabilistic nature of the oracle, a classical algorithm can only be useful in obtaining limiting probability distributions of and for each bit-position of secret keys…
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Taxonomy
TopicsBlind Source Separation Techniques · Machine Learning and Algorithms · Quantum Computing Algorithms and Architecture
