3 papers
quant-ph2026
Tree Tensor Network Reservoir Computing: Hierarchical Ensemble with Invariant Phase Boundaries
Daiki Sasaki, Chih-Chieh Chen, Tomah Sogabe
We propose Tree Tensor Network Reservoir Computing (TTN-RC), a quantum-inspired reservoir computing framework for time-series prediction that uses the hierarchical structure of Tre…
quant-ph2025
Quantum-Circuit Framework for Two-Stage Stochastic Programming via QAOA Integrated with a Quantum Generative Neural Network
Taihei Kuroiwa, Daiki Yamazaki, Keita Takahashi +3
Two-stage stochastic programming often discretizes uncertainty into scenarios, but scenario enumeration makes expected recourse evaluation scale at least linearly in the scenario c…
quant-ph2025
Hamiltonian-Driven Architectures for Non-Markovian Quantum Reservoir Computing
Daiki Sasaki, Ryosuke Koga, Taihei Kuroiwa +3
We propose a Hamiltonian-level framework for non-Markovian quantum reservoir computing directly tailored for analog hardware implementations. By dividing the reservoir into a syste…