About track

Participants will tackle the challenge of implementing a variational quantum cloning machine, as detailed in the provided research paper. This task involves reproducing the experimental realization of a 1→2 cloning process for photonic qubits, using Perceval to simulate a linear optical circuit. The algorithm, leveraging a classical feedback loop, optimizes cloning fidelity for phase-covariant and state-dependent scenarios. Participants will explore quantum machine learning techniques and photonic platforms, demonstrating the interplay between classical and quantum systems. As a bonus, they may test their implementation on a real quantum computer, deepening their understanding of near-term quantum technologies.

Timeline

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Why this track exists?

Participants will tackle the challenge of implementing a variational quantum cloning machine, as detailed in the provided research paper. This task involves reproducing the experimental realization of a 1→2 cloning process for photonic qubits, using Perceval to simulate a linear optical circuit. The algorithm, leveraging a classical feedback loop, optimizes cloning fidelity for phase-covariant and state-dependent scenarios.

Who is this track for?

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Prizes & Outcomes

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How to get started

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