3 papers
quant-ph2026
Pure and mixed Dicke state ansatz for equality and inequality constraints in variational quantum eigensolver
J. V. S Scursulim
Combinatorial optimization can be addressed with quantum computing through variational quantum algorithms, but a central challenge in this approach is to design an ansatz expressiv…
quant-ph2025
Multiclass Portfolio Optimization via Variational Quantum Eigensolver with Dicke State Ansatz
J. V. S. Scursulim, Gabriel Mattos Langeloh, Victor Leme Beltran +1
Combinatorial optimization is a fundamental challenge in various domains, with portfolio optimization standing out as a key application in finance. Despite numerous quantum algorit…
quant-ph2024
Encoding of Probability Distributions for Quantum Monte Carlo Using Tensor Networks
Antonio Pereira, Alba Villarino, Aser Cortines +5
The application of Tensor Networks (TN) in quantum computing has shown promise, particularly for data loading. However, the assumption that data is readily available often renders…