Essentials of Computer Organization and Architecture
Essentials of Computer Organization and Architecture
5th Edition
ISBN: 9781284123036
Author: Linda Null
Publisher: Jones & Bartlett Learning
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Chapter 9, Problem 19E
Program Plan Intro

Compiler:

  • Compiler is used to convert the programs in high-level language to low-level language.
  • Compiler is a program.
    • A high-level language program may be compiled using many compilers.
  • When a program is compiled, it involves six phases of compiler namely,                Lexical analyzer, Syntax analyzer, Semantic analyzer, Intermediate code generator, Code optimizer and Code generator.

Very Long Instruction Word (VLIW) architecture:

  • In VLIW architecture, compiler or preprocessor divides the program instructions into basic operations which can be performed in parallel.
  • It is similar to Instruction Level Parallelism (ILP) which executes more than one instruction at a time.
  • It is a type of instruction set architecture that specifies the instructions to execute in required format or sequence.

Superscalar architecture:

  • Superscalar architecture is used in many processors which follows parallel computing.
  • The Central Processing Unit (CPU) related to this architecture executes multiple instructions at a time during a clock cycle.
  • The different types of execution units related to a processor are used to determine the pipelining.
  • The fetched instructions are checked in the memory and executed.

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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. • 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…
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