Homework Help>Questions and Answers
Question
Answered step-by-step
Question 10 of 15Why is quantum computing potentially a better fit for weather forecasting than classical computers?It can store extensive data for better pattern recognition.It can function efficiently when stored at high temperatures.It can perform advanced simulations more efficiently.It can be easily installed at locations around the globe.I don't know this yet.Submit Ansx1: Give feedback on this question
🤔 Not the exact question you’re looking for?
Go ask your question
1 Solution
Best
Best
Newest
This problem has been solved! You'll receive a detailed solution to help you
master the concepts.
Solution 1
#### Solution By Steps***Step 1: Understand the Nature of Quantum Computing***Quantum computers use quantum bits (qubits) which can exist in multiple states simultaneously due to quantum superposition. This allows them to process a vast number of possibilities at once.***Step 2: Analyze the Requirements of Weather Forecasting***Weather forecasting involves complex simulations and pattern recognition across large datasets. It requires high computational power to handle the vast amounts of data and to perform real-time simulations.***Step 3: Compare Quantum Computing with Classical Computing***Quantum computers can outperform classical computers in tasks that require heavy parallel processing and complex simulations due to their ability to handle multiple states simultaneously and perform quantum entanglement.***Step 4: Evaluate the Options Given***- Option 1: Quantum computing can indeed store extensive data and improve pattern recognition due to its parallel processing capabilities.- Option 2: Temperature is not a significant factor in the efficiency of quantum computing for weather forecasting.- Option 3: Quantum computers can perform advanced simulations more efficiently, which is crucial for weather forecasting.- Option 4: Installation location is not directly related to the computational efficiency of quantum computing.#### Final AnswerQuantum computing is potentially a better fit for weather forecasting than classical computers primarily because it can perform advanced simulations more efficiently. This capability aligns well with the computational demands of weather forecasting, which involves complex simulations and real-time data processing.
Answered by StudyX AI with Basic Model
Ask Tutor
Copy
Related Answered Questions
📢 Boost your learning 10x faster with our browser extension! Effortlessly integrate it into any LMS like Canvas, Blackboard, Moodle and Pearson. Install now and revolutionize your study experience!