1 citations · 1 across the 6 of their papers we have counts for
6 papers
Complementary quantum and classical records of qubit decoherence
Jargalsaikhan Artag, Koki Awaya, Takumi Kanezashi +4
Decoherence is usually viewed as the loss of local coherence, but it also writes information into the environment. Here we show that the environment stores this information in two…
All-valid-state HOBO encoding for constrained combinatorial optimization on NISQ devices
Juncheng Wang, Takumi Kanezashi, Daisuke Tsukayama +5
Continued advancements in quantum computing have stimulated growing interest in translating quantum technologies into real-world applications. Consequently, the investigation of pr…
Quantum-inspired Ising machine using sparsified spin connectivity
Moe Shimada, Koki Awaya, Ryoya Yonemoto +2
Combinatorial optimization problems become computationally intractable as these NP-hard problems scale. We previously proposed extraction-type majority voting logic (E-MVL), a quan…
Efficient time-series prediction on NISQ devices via time-delayed quantum extreme learning machine
Mio Kawanabe, Saud Cindrak, Kathy Ludge +3
We proposed a time-delayed quantum extreme learning machine (TD-QELM) for efficient time-series prediction on noisy intermediate-scale quantum (NISQ) devices. By encoding multiple…
Utility of NISQ devices: optimizing experimental parameters for the fabrication of Au atomic junction using gate-based quantum computers
Takumi Kanezashi, Daisuke Tsukayama, Jun-ichi Shirakashi +2
Feedback-controlled electromigration (FCE) enables precise regulation of atomic migration by carefully optimizing multiple experimental parameters. However, manually fine-tuning th…
Multi-tasking through quantum annealing
Jargalsaikhan Artag, Koki Awaya, Takumi Kanezashi +3
Quantum annealing approximately solves combinatorial optimization problems by leveraging the principles of adiabatic quantum systems. In this approach, the system's Hamiltonian evo…