2 papers
quant-ph2026
Scalable Variational Quantum Optimization via Pauli Correlation Encoding: Application to Large-Scale Power Demand Portfolio Optimization
Takuya Yoshioka, Keita Sasada, Riku Usuki +2
Variational quantum algorithms offer a promising route to combinatorial optimization, but their applicability is limited by the challenge of encoding large-scale problems within re…
quant-ph2025
Electric Power Demand Portfolio Optimization by Fermionic QAOA with Self-Consistent Local Field Modulation
Takuya Yoshioka, Keita Sasada, Yuichiro Nakano +1
Quantum Approximation Optimization Algorithms (QAOA) have been actively developed, among which Fermionic QAOA (FQAOA) has been successfully applied to financial portfolio optimizat…