9 papers
A review of quantum machine learning and quantum-inspired applied methods to computational fluid dynamics
Cesar A. Amaral, VinÃcius L. Oliveira, Juan P. L. C. Salazar +1
Computational Fluid Dynamics (CFD) is central to science and engineering, but faces severe scalability challenges, especially in high-dimensional, multiscale, and turbulent regimes…
Experimental investigation of the role of spatial correlations in optical integration with heralded single photons
L. Marques Fagundes Silva, R. C. Souza Pimenta, M. H. Magiotto +4
In this work, we demonstrate optical integration using heralded single photons and explore the influence of spatial correlations between photons on this process. Specifically, we e…
Quantum Gate Decomposition: A Study of Compilation Time vs. Execution Time Trade-offs
Evandro C. R. Rosa, Jerusa Marchi, Eduardo I. Duzzioni +1
Similar to classical programming, high-level quantum programming languages generate code that cannot be executed directly by quantum hardware and must be compiled. However, unlike…
Optimizing Gate Decomposition for High-Level Quantum Programming
Evandro C. R. Rosa, Eduardo I. Duzzioni, Rafael de Santiago
This paper presents novel methods for optimizing multi-controlled quantum gates, which naturally arise in high-level quantum programming. Our primary approach involves rewriting $U…
Shadow measurements for feedback-based quantum optimization
Leticia Bertuzzi, João P. Engster, Evandro C. R. da Rosa +1
Improving the performance of quantum algorithms is a fundamental task to achieve quantum advantage. In many cases, extracting information from quantum systems poses an important ch…
Genuine -partite correlations and entanglement in the ground state of the Dicke model for interacting qubits
Antônio C. Lourenço, Denis R. Candido, Eduardo I. Duzzioni
Here, we calculate and study correlations of the Dicke model in the presence of qubit-qubit interaction. Whereas the analysis of correlations among its subsystems is essential for…