3 citations · 3 across the 3 of their papers we have counts for
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Qubit-Efficient 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…
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…
Experimental Demonstration of Fermionic QAOA with One-Dimensional Cyclic Driver Hamiltonian
Takuya Yoshioka, Keita Sasada, Yuichiro Nakano +1
Quantum approximate optimization algorithm (QAOA) has attracted much attention as an algorithm that has the potential to efficiently solve combinatorial optimization problems. Amon…