Quantum Computing in Automotive Market

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Question ^*

What level of INVESTMENT would your organization be willing to consider for a Quantum Computing project in Automotive application over the next 3 years?

1. < $50

2. 000

3. $50

4. 000 - $250

5. 000

6. $250

7. 000 - $1

8. 000

9. 000

10. $1

11. 000

12. 000 - $5

13. 000

14. 000

15. >$5

16. 000

17. 000

18. Not applicable/No investment planned

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Question ^*

Which automotive area(s) do you see the MOST potential for quantum computing to provide a significant advantage?

1. Battery design and optimization

2. Autonomous driving algorithms

3. Supply chain optimization

4. Materials discovery (new alloys, polymers)

5. Traffic flow optimization

6. Other (Please specify)

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Question ^*

What is your BIGGEST challenge in [Select ONE from Question 1 - the area they chose as most promising]?

1. Computational complexity / processing time

2. Data scarcity/limited availability

3. Model accuracy/predictive power

4. Optimization of too many variables

5. Other (Please specify)

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Question ^*

What quantum computing capabilities, if available, would be MOST valuable to address your challenge in [Area chosen in Q1]?

1. Faster optimization algorithms

2. Improved machine learning models

3. Accurate simulation of complex systems

4. Secure data encryption/cybersecurity

5. Larger-scale problem solving

6. Other (Please specify)

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Question ^*

What is the MAIN barrier preventing you from exploring or implementing quantum computing solutions for automotive applications today?

1. Lack of internal expertise

2. High cost of access to quantum resources

3. Uncertainty about ROI/business value

4. Immature technology readiness

5. Data security/privacy concerns

6. Other (Please specify)

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