Operational data: Data quality is one of the key features of enterprise data management. The data obtained from the operational system is low quality data because of the following reasons: Obtaining the data from outside the organization. Redundant storage of data and inconsistent metadata. Problems while entering data due to poor interfaces, manual mistypes of data. The poor quality of the data is not recognized by the organization itself is an issue. Decision support data: The decision support data is used to interact with the software systems which help the users in the compilation of problems that occur in documents, files, raw data, business information and many such. Decision Support Systems (DSS) analyzes and operates the decision support data.

Question

I need help to solve a simple problem using Grover’s algorithm, where the solution is not necessarily known beforehand. The problem is a 2×2 binary sudoku with two rules: • No column may contain the same value twice. • No row may contain the same value twice. Each square in the sudoku is assigned to a variable as follows: We want to design a quantum circuit that outputs a valid solution to this sudoku. While using Grover’s algorithm for this task is not necessarily practical, the goal is to demonstrate how classical decision problems can be converted into oracles for Grover’s algorithm. Turning the Problem into a Circuit To solve this, an oracle needs to be created that helps identify valid solutions. The first step is to construct a classical function within a quantum circuit that checks whether a given state satisfies the sudoku rules. Since we need to check both columns and rows, there are four conditions to verify: v0 ≠ v1 # Check top row v2 ≠ v3 # Check bottom row…

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Question

Chapter 13, Problem 5RQ

Program Plan Intro

Operational data:

Data quality is one of the key features of enterprise data management.

The data obtained from the operational system is low quality data because of the following reasons:

Obtaining the data from outside the organization.

Redundant storage of data and inconsistent metadata.

Problems while entering data due to poor interfaces, manual mistypes of data.

The poor quality of the data is not recognized by the organization itself is an issue.

Decision support data:

The decision support data is used to interact with the software systems which help the users in the compilation of problems that occur in documents, files, raw data, business information and many such. Decision Support Systems (DSS) analyzes and operates the decision support data.

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