12-week quantum ML research. Quantum algorithms, variational quantum circuits, and quantum advantage for ML.
Student builds a quantum circuit visualizer that demonstrates understanding of quantum circuit basics and Qiskit skills, showcasing ability to work with quantum circuits.
Student builds a simple quantum classifier that proves understanding of quantum machine learning fundamentals and PyTorch integration skills.
Student creates a quantum entanglement simulator that demonstrates knowledge of quantum entanglement principles and Cirq programming skills.
Student develops a quantum random number generator that showcases understanding of quantum randomness and Qiskit implementation skills.
Student implements a quantum k-means clustering algorithm that proves understanding of quantum machine learning algorithms and TensorFlow Quantum integration skills.
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