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4 papers
Optimization by VarQITE on Adaptive Variational Quantum Kolmogorov-Arnold Network
Hikaru Wakaura, Rahmat Mulyawan, Andriyan B. Suksmono
Quantum imaginary time evolution (QITE) is a powerful method to derive the ground states of the systems. Only the damping of quantum states leads it; hence, reaching the ground sta…
Enhanced Variational Quantum Kolmogorov-Arnold Network
Hikaru Wakaura, Rahmat Mulyawan, Andriyan B. Suksmono
The Kolmogorov-Arnold Network (KAN) places the trainable functions on the synapses rather than on the neurons. Existing quantum implementations either lack accuracy (Variational Qu…
Few-sample regression with an adaptively grown variational quantum Kolmogorov--Arnold network
Hikaru Wakaura, Rahmat Mulyawan, Andriyan B. Suksmono
Kolmogorov-Arnold networks place learnable one-dimensional functions on the edges of a network rather than fixed activations on its nodes, and several quantum realisations have bee…
Quantum Annealing for Vehicle Routing Problem with weighted Segment
Toufan D. Tambunan, Andriyan B. Suksmono, Ian J. M. Edward +1
Quantum annealing technologies aim to solve computational optimization and sampling problems. QPU (Quantum Processing Unit) machines such as the D-Wave system use the QUBO (Quadrat…