Oracle questions in Grover's Algorithm

In summary, Grover's search algorithm is used to find a satisfying answer for a verifiable question, and it works even when the answer is only known through a checker program. The algorithm requires sqrt(N) invocations of the oracle, where N is the number of states given by N=2L and L is the number of qubits. This is because even if a program can easily evaluate a question, it may not be easy to figure out an answer that satisfies it. David Deutsch explains the use of NAND and XOR gates in the diffusion step of the algorithm.
  • #1
dakshina gandikota
2
0
Following these links:

https://people.cs.umass.edu/~strubell/doc/quantum_tutorial.pdf
https://www.codeproject.com/Articles/1131573/Grovers-Search-Algorithm-explained

I have these questions:
  1. The Oracle "knows" the correct bits in the first invocation itself. So why do sqrt(N) invocations where N is the number of states given by N=2L and L is the number of qubits?
  2. Conversely, the intent seems: to increase the amplitude of the answer bits taking into account the noise from the environment during computation. I don't find any other reason to invoke the oracle beyond once. Anyone agree?
In this video



David Deutsch explains the diffusion in the algorithm using NAND and XOR gates. Can anyone explain to me what he means by that?
 
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  • #2
> The Oracle "knows" the correct bits in the first invocation itself. So why do sqrt(N) invocations where N is the number of states given by N=2L and L is the number of qubits?

Just because you have a computer program that will output True for some value X, that doesn't mean you can easily figure out X or that the writer of the program needed to know X. For example, pick a random ten thousand bit prime P, then write:

Code:
P = ...
def is_period(x):
    return pow(2, x, P) == 1

This program is easy to evaluate, but its not so easy to figure out an x that makes it return true.

The power of Grover's algorithm is that it works in these situations where you only have a checker program. Anything you can phrase as a verifiable question, you can use Grover's algorithm to search for a satisfying answer.

The reason you need sqrt(N) evaluations is not so simple. See Section 4 of https://www.cs.cmu.edu/~odonnell/quantum15/lecture11.pdf .
 

Related to Oracle questions in Grover's Algorithm

What is Grover's Algorithm?

Grover's Algorithm is a quantum algorithm designed to search an unstructured database for a specific item. It is a faster alternative to classical search algorithms, and it uses the principles of superposition and interference in quantum computing to achieve this speed.

What is the role of the oracle in Grover's Algorithm?

The oracle in Grover's Algorithm is a function that marks the target item in the database. It takes the input and determines if it is the target item or not. The oracle is a crucial component of the algorithm, as it helps direct the search towards the target item.

How does the oracle function in Grover's Algorithm?

The oracle function in Grover's Algorithm has two main parts - the marking phase and the inversion phase. In the marking phase, the oracle marks the target item by flipping its sign. In the inversion phase, the oracle inverts the sign of all the items in the database except for the target item. This creates the necessary interference for the algorithm to converge towards the target item.

What is meant by "phase kickback" in Grover's Algorithm?

"Phase kickback" refers to the effect of applying the oracle function to the quantum state in the algorithm. It causes the phase of the target item to be "kicked back" to the control qubit, which allows for the algorithm to amplify the amplitude of the target item and decrease the amplitude of the other items in the database in subsequent iterations.

How does the number of iterations in Grover's Algorithm affect its success probability?

The number of iterations in Grover's Algorithm is directly proportional to the success probability of finding the target item. The more iterations, the higher the probability of finding the target item. The optimal number of iterations is approximately equal to the square root of the number of items in the database.

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