Quantum Computing
Assesment
ASM-QC-QML.v1
5 mock tests on Quantum Machine Learning – QML
This assessment program includes 5 mock tests designed to evaluate your proficiency in Quantum Machine Learning (QML) concepts. It covers a wide range of QML topics, from quantum data encoding to quantum neural networks, offering a practical and structured way to prepare for certifications, interviews, or exams.
This Course Includes:
1 hour on-demand video
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4 Articles
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3 Downloadable Resources
Access on mobile & TV
Free One Year Access To Live Courses*
Certificate of completion
Course Curriculum & Resources
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Mock Test 1: Fundamentals of QML concepts and the role of quantum computing in ML
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Mock Test 2: Methods for quantum data encoding, quantum feature maps, and preprocessing
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Mock Test 3: Building quantum circuits for ML tasks
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Mock Test 4: Design and implementation of quantum neural networks and quantum classifiers
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Mock Test 5: Understanding variational quantum algorithms (VQAs), quantum GANs, and quantum SVM
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Instructor Info
- Instructor Code: ABM07
- Specialty: Cloud, Data Science & GenAI Expert
- Experience: Worked with Microsoft, JP Morgan Chase, Deloitte Consulting in the USA.
- Education: Holds an MS in Data Analytics Engineering from George Mason University, USA, and an MTech in Biomedical Engineering from IIT Bombay.
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Frequently Asked Questions
The tests cover the fundamentals of Quantum Machine Learning, including quantum data encoding, quantum neural networks, and quantum algorithms for ML applications.
Yes, a basic understanding of quantum computing and machine learning is required. These tests focus on the intersection of both fields.
Each test includes immediate feedback and a grading rubric to evaluate your strengths and areas for improvement.
Yes, you can retake the tests as many times as needed to track your progress and further enhance your skills in Quantum Machine Learning.
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