T gates are essential in implementing aquantum circuit a web link of gates that manipulates qubits to generate algorithms.
However, T gates are also the most expensive and most resource-intensive gates of the online grid.
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AlphaTensor-Quantum is anAImodel that leverages the relationship between optimising T-count and tensor decomposition, using deep reinforcement learning.
This way, the AI can significantly reduce the number of T gates.
One of the themes of this years TNW Conference is Ren-AI-ssance: The AI-Powered Rebirth.
Story byIoanna Lykiardopoulou
Ioanna is a writer at TNW.
With a background in the humanities, she has a soft spot for social impact-enabling technologies.
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