Back to notes
Describe a Tree Tensor Network in the context of quantum circuits.
Press to flip
A Tree Tensor Network is a hierarchical layout of quantum gates used in quantum circuits.
What is the main focus of Xanadu's quantum computers?
Photonics-based quantum computers.
What happens to quantum data post-measurement?
The data becomes classical.
Explain the concept of differentiable programming in QML.
Differentiable programming allows the efficient tuning of circuit parameters via optimization algorithms.
What was the example problem tackled in the live demo?
Learning the sine function using a quantum circuit.
On what platform was the live demo for QML implementation hosted?
Google Colab with the PennyLane SDK.
Name two measurement techniques used in quantum circuits.
Expectation values and probabilities.
What is a Matrix Product State in QML?
It is a type of quantum circuit structure that is layered with overlaps.
What is PennyLane primarily used for?
It is used for quantum programming and includes high-performance simulators, compilers, plugins, and educational resources.
What are key structures of quantum circuits?
Gates, layers, parameters, and measurements.
What is the role of cost functions in QML?
Cost functions determine how well an algorithm performs and guide the optimization routines that adjust circuit parameters to minimize the cost.
What role do gradient descent algorithms play in QML?
They adjust circuit parameters to minimize the cost function and optimize the quantum algorithm.
What structures were used in the demo circuit for learning the sine function?
Two-parameterized rotation gates (angle embedding), followed by measured output.
What mission did Xanadu set out to achieve?
To build useful and accessible quantum computers.
What are the three types of data embeddings in quantum circuits?
Amplitude Embedding, Angle Embedding, and Basis Embedding.
Previous
Next