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Automating quantum algorithms design
Presenting Author: Lukasz Cincio, Los Alamos National Laboratory
Contributing Author(s): Yigit, Subasi
Francesco, Caravelli
Patrick, Coles
Andrew, Sornborger
Taking advantage of exponential speedups offered by quantum computers will require new tools to design and optimize quantum algorithms. Here, we describe a framework to develop such tools via an automated approach. Our approach requires minimal input: (i) the task that the quantum algorithm is supposed to perform and (ii) available resources (e.g., the number of qubits, the maximal depth of the circuit as well as any circuit constraints that exists in a target quantum hardware). Given the above, our method returns the quantum algorithm that fulfills all the requirements or suggests that the resources are not sufficient to achieve the specified task. In this talk we will present automatically generated algorithms for (among others) computing entanglement and simulating real-time evolution of quantum many-body systems.
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