Month: March 2022
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Online seminar #1: Quantum Approximate Optimization Algorithm for Bayesian network structure learning
Vicente P. Soloviev (UPM) Bayesian network structure learning is an NP-hard problem that has been faced by anumber of traditional approaches in recent decades. In this work, a specific type ofvariational quantum algorithm, the quantum approximate optimization algorithm, wasused to solve the Bayesian network structure learning problem. Our results showed thatthe quantum approximate optimization algorithm…
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Postdoctoral position on superconducting qubits
The Quantum Computing Technology group at IFAE (Barcelona) is offering a postdoctoral position on superconducting qubit research. This position is joint between IFAE and the Institute of Microelectronics of Barcelona (IMB-CNM-CSIC). The project involves experimental techniques aiming to improve superconducting qubit quality by combining nanofabrication and noise filtering techniques. The project will look at improving…