Data Science: Digital Society and AI Research

Blog of the Data Science for the Digital Society research group. Digital Society Innovation, Applied Artificial Intelligence, data analysis and smart living and business.

17 June 2021 | Posted by Editorial Team DS4DS

EVA: a quantum Exponential Value Approximation algorithm

The candidate PhD Parfait Atchade together Guillermo Alonso has published the last article EVA: a quantum Exponential Value Approximation algorithm

VQE is currently one of the most widely used algorithms for optimizing problems using quantum computers. A necessary step in this algorithm is calculating the expectation value given a state, which is calculated by decomposing the Hamiltonian into Pauli operators and obtaining this value for each of them. In this work, we have designed an algorithm capable of figuring this value using a single circuit. A time cost study has been carried out, and it has been found that in certain more complex Hamiltonians, it is possible to obtain a good performance over the current methods.

Read more: https://www.researchgate.net/publication/352477907_EVA_a_quantum_Exponential_Value_Approximation_algorithm

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