Essentials of Computer Organization and Architecture
5th Edition
ISBN: 9781284123036
Author: Linda Null
Publisher: Jones & Bartlett Learning
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Chapter 5, Problem 21E
Program Plan Intro
Immediate addressing mode:
In immediate addressing mode, the instruction is immediately followed by the data which means that the data that is to be used is already given in the instruction itself.
Example:
ADD R4, #4
This instruction is used to add the data 4 immediately with the contents of register R4.
Direct addressing mode:
The address of the instruction that includes address of an operand is known as direct addressing.
Example:
MOV R3, 46H
This instruction is used to move the data present at the location 46H to register R3.
Indirect addressing mode:
The address of the instruction that includes actual operand is known as indirect addressing.
Example:
MOV R2, 37H
This instruction is used to move the content of address present at 37H to register R2.
Indexed addressing mode:
The address of the operand is acquired by aggregating the contents related to general register to index register that contains constant value.
Example:
MOV R3, R4÷DPTR
This instruction is used to move the content of the register and given constant memory location to register R3.
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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.
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Each square in the sudoku is assigned to a variable as follows:
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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…
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…
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…
Chapter 5 Solutions
Essentials of Computer Organization and Architecture
Ch. 5 - Prob. 1RETCCh. 5 - Prob. 2RETCCh. 5 - Prob. 3RETCCh. 5 - Prob. 4RETCCh. 5 - Prob. 5RETCCh. 5 - Prob. 6RETCCh. 5 - Prob. 7RETCCh. 5 - Prob. 8RETCCh. 5 - Prob. 9RETCCh. 5 - Prob. 10RETC
Ch. 5 - Prob. 11RETCCh. 5 - Prob. 12RETCCh. 5 - Prob. 13RETCCh. 5 - Prob. 14RETCCh. 5 - Prob. 15RETCCh. 5 - Prob. 16RETCCh. 5 - Prob. 17RETCCh. 5 - Prob. 18RETCCh. 5 - Prob. 19RETCCh. 5 - Prob. 20RETCCh. 5 - Prob. 21RETCCh. 5 - Prob. 22RETCCh. 5 - Prob. 23RETCCh. 5 - Prob. 24RETCCh. 5 - Prob. 25RETCCh. 5 - Prob. 1ECh. 5 - Prob. 2ECh. 5 - Prob. 3ECh. 5 - Prob. 4ECh. 5 - Prob. 5ECh. 5 - Prob. 6ECh. 5 - Prob. 7ECh. 5 - Prob. 8ECh. 5 - Prob. 9ECh. 5 - Prob. 10ECh. 5 - Prob. 11ECh. 5 - Prob. 12ECh. 5 - Prob. 13ECh. 5 - Prob. 14ECh. 5 - Prob. 15ECh. 5 - Prob. 16ECh. 5 - Prob. 17ECh. 5 - Prob. 18ECh. 5 - Prob. 19ECh. 5 - Prob. 20ECh. 5 - Prob. 21ECh. 5 - Prob. 22ECh. 5 - Prob. 23ECh. 5 - Prob. 24ECh. 5 - Prob. 25ECh. 5 - Prob. 26ECh. 5 - Prob. 27ECh. 5 - Prob. 28ECh. 5 - Prob. 29ECh. 5 - Prob. 1TFCh. 5 - Prob. 2TFCh. 5 - Prob. 3TFCh. 5 - Prob. 4TFCh. 5 - Prob. 5TFCh. 5 - Prob. 6TFCh. 5 - Prob. 7TFCh. 5 - Prob. 8TFCh. 5 - Prob. 9TFCh. 5 - Prob. 10TFCh. 5 - Prob. 11TFCh. 5 - Prob. 12TF
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