EBK USING MIS
10th Edition
ISBN: 8220103633635
Author: KROENKE
Publisher: YUZU
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Chapter 9, Problem 9.1UYK
Explanation of Solution
Categorical Imperative:
Categorical imperative is that in all situations, the complete requirements must be followed and it should be acceptable as an end in it.
- The Patrick Fusion Software that advises doctors is paid for by Merck, a Pharmaceutical company.
- According to Categorical Imperative, it is not ethical, as it is observed that the doctors who use the software recommendation services prescribed 73% more vaccinations as compared to the group who did not use the services.
Therefore, the pharmaceutical company may intentionally recommend more vaccinate owned by it for increase in sales, which could harm the patients.
Utilitarian Perspective:
Utilitarianism states that the best action is the action which is beneficial for the greater good and maximizes utility.
- The Patrick Fusion Software that advises doctors is paid for by Merck, a Pharmaceutical company.
- According to Utilitarian Perspective, it is not ethical, as it is observed that the doctors who use the software recommendation services prescribed 73% more vaccinations as compared to the group who did not use the services.
- Therefore, it cannot be said whether Patrick Fusion Software was biased towards recommending Patients with vaccinations from Merck.
- It creates a doubt in the minds of patients and raises questions on the healthcare organization.
Therefore, it is not ethical according to utilitarianism as it is not the best action that could have been taken.
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Students have asked these similar questions
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…
using r language
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 9 Solutions
EBK USING MIS
Ch. 9.3 - Prob. 1EGDQCh. 9.3 - Prob. 2EGDQCh. 9.3 - Prob. 3EGDQCh. 9.3 - Prob. 4EGDQCh. 9.6 - Prob. 1BFSQCh. 9.6 - Prob. 2BFSQCh. 9.6 - Prob. 3BFSQCh. 9.6 - Prob. 4BFSQCh. 9.9 - Prob. 1SGDQCh. 9.9 - Prob. 2SGDQ
Ch. 9.9 - Prob. 3SGDQCh. 9.9 - Prob. 4SGDQCh. 9.9 - Prob. 5SGDQCh. 9.9 - Prob. 9.1ARQCh. 9.9 - Prob. 9.2ARQCh. 9.9 - Prob. 9.3ARQCh. 9.9 - Prob. 9.4ARQCh. 9.9 - Prob. 9.5ARQCh. 9.9 - Prob. 9.6ARQCh. 9.9 - Prob. 9.8ARQCh. 9.9 - Prob. 9.9ARQCh. 9 - Prob. 9.1UYKCh. 9 - Prob. 9.2UYKCh. 9 - Prob. 9.3UYKCh. 9 - Prob. 9.4UYKCh. 9 - Prob. 9.5UYKCh. 9 - Prob. 9.6UYKCh. 9 - Prob. 9.7UYKCh. 9 - Prob. 9.8UYKCh. 9 - Prob. 9.9CE9Ch. 9 - Prob. 9.1CE9Ch. 9 - Prob. 9.11CE9Ch. 9 - Prob. 9.12CE9Ch. 9 - Prob. 9.13CE9Ch. 9 - Prob. 9.14CE9Ch. 9 - Prob. 9.15CE9Ch. 9 - Prob. 9.16CS9Ch. 9 - Prob. 9.17CS9Ch. 9 - Prob. 9.18CS9Ch. 9 - Prob. 9.19CS9Ch. 9 - Prob. 9.22MML
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