27 citations · 27 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Integer Programming from Quantum Annealing and Open Quantum Systems
Chia Cheng Chang, Chih-Chieh Chen, Christopher Koerber +2
While quantum computing proposes promising solutions to computational problems not accessible with classical approaches, due to current hardware constraints, most quantum algorithm…
Hybrid classical-quantum linear solver using Noisy Intermediate-Scale Quantum machines
Chih-Chieh Chen, Shiue-Yuan Shiau, Ming-Feng Wu +1
We propose a realistic hybrid classical-quantum linear solver to solve systems of linear equations of a specific type, and demonstrate its feasibility using Qiskit on IBM Q systems…