The first quantum algorithm we will look at is the Bernstein-Vazirani algorithm. Given a secret s $\in \{0,1\}^n$ and the function f : $\{0,1\}^n \rightarrow \{0,1\}$ defined as f(x) = x * s \* denotes the inner product of two bitstrings here For Bitstrings x and y of length n the inner product x * y is $x_1y_1 + ... + x_ny_n$ mod 2 The goal is to find the secret s using as few queries of f as possible. So as few evaluations of f as possible. We will look at a quantum algorithm that will find s with only one evaluation of f. ![[Pasted image 20260730144713.png]] The top wire consists of n qubits in state 0. $\ket{0}^n = \ket{0} \otimes ... \otimes \ket{0}$ The bottom wire is in state 1. Both wires together are in state $\ket{0^n1} = \ket{0}^n \otimes \ket{1}$ First, we apply the Hadamard gate on all qubits. The resulting state is calculated as follows: ![[Pasted image 20260730145119.png]] We are now in superposition between all classical possibilities on the top wire and in $\ket{-}$ on the bottom wire. Next we apply the unitary $U_f$ on both wires. The Unitary is defined as: $U_f \ket{x,y} = \ket{x,y \otimes f(x)}$ This unitary applies the function f to the bottom wire y. It can be calculated as follows: ![[Pasted image 20260730153305.png]] And we can rewrite $U_f(\ket{x} \otimes \ket{-})$ as ![[Pasted image 20260730154444.png]] The bottom wire has not changed. The top wire now has f(x) encoded in its quantum state. The phenomenon that the output of f is encoded as a -1 is called phase kickback. We need one final step before measuring. Now, we perform one final hadamard gate on the top wire.