10 citations · 27 across the 20 of their papers we have counts for
21 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…
The effect of Quantum Time Crystal Computing to Quantum Machine Learning methods
Hikaru Wakaura, Andriyan B. Suksmono
Many body localization shows the robustness for external perturbations and time reversal symmetry on Time Crystal. This Time Crystal prolongs the coherence time, hence, it is used…
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…
A Quantum Approximate Optimization Method For Finding Hadamard Matrices
Andriyan Bayu Suksmono
Finding a Hadamard matrix of a specific order using a quantum computer can lead to a demonstration of practical quantum advantage. Earlier efforts using a quantum annealer were imp…
Derivation of Hamiltonians from time propagations using Born machines
Hikaru Wakaura, Andriyan Bayu Suksmono
Recently there are more promising qubit technology such as Majorana fermions Rydberg atoms and Silicon quantum dot have yet to be developed for realizing a quantum computer than Su…
Long-lived qubit entanglement by surface plasmon polaritons in a Weyl semimetal
M Shoufie Ukhtary, Eddwi H. Hasdeo, Andriyan B. Suksmono +1
We investigate spontaneous entanglement of two qubits mediated by nonreciprocal surface plasmon polaritons (SPPs) in a Weyl semimetal. In the absence of external magnetic fields, t…
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…
A prescreening method for variational quantum state eigensolver
Hikaru Wakaura, Andriyan B. Suksmono
The development of Fault-Tolerant Quantum Computer (FTQC) gradually raises a possibility to implement the Quantum Phase Estimation (QPE) algorithm. However, QPE works only for norm…
Tangent Vector Variational Quantum Eigensolver: A Robust Variational Quantum Eigensolver against the inaccuracy of derivative
Hikaru Wakaura, Andriyan Bayu Suksmono
Observing rapid developments of both the number of qubits and quantum volume, especially with recent advances in ion-trap quantum computers, it is no doubt that Fault-Tolerant-Quan…
Finding high-order Hadamard matrices by using quantum computers
Andriyan Bayu Suksmono, Yuichiro Minato
Solving hard problems is one of the most important issues in computing to be addressed by a quantum computer. Previously, we have shown that the H-SEARCH; which is the problem of f…
A Magnetic Field Camera for Real-Time Subsurface Imaging Applications
Andriyan B. Suksmono, Donny Danudirdjo, Antonius D. Setiawan +2
We have constructed an imaging device that capable to show a spatio-temporal distribution of magnetic field intensity in real-time. The device employs a set of AMR (Anisotropic Mag…
Finding Hadamard matrices by a quantum annealing machine
Andriyan Bayu Suksmono, Yuichiro Minato
Finding a Hadamard matrix (H-matrix) among the set of all binary matrices of corresponding order is a hard problem, which potentially can be solved by quantum computing. We propose…
Probabilistic Construction and Analysis of Seminormalized Hadamard Matrices
Andriyan B. Suksmono
Let o be a 4k-length column vector whose all entries are 1s, with k a positive integer. Let V={v_i} be a set of semi-normalized Hadamard (SH)-vectors, which are 4k-length vectors w…
Finding a Hadamard Matrix by Simulated Annealing of Spin-Vectors
Andriyan Bayu Suksmono
Reformulation of a combinatorial problem into optimization of a statistical-mechanics system, enables finding a better solution using heuristics derived from a physical process, su…
The Sample Allocation Problem and Non-Uniform Compressive Sampling
Andriyan B. Suksmono
This paper discusses sample allocation problem (SAP) in frequency-domain Compressive Sampling (CS) of time-domain signals. An analysis that is relied on two fundamental CS principl…
Reconstruction of Complex-Valued Fractional Brownian Motion Fields Based on Compressive Sampling and Its Application to PSF Interpolation in Weak Lensing Survey
Andriyan B. Suksmono
A new reconstruction method of complex-valued fractional Brownian motion (CV-fBm) field based on Compressive Sampling (CS) is proposed. The decay property of Fourier coefficients m…
A Simple Solution To The Uncertain Delay Problem in USRP Based SDR-Radar Systems
Andriyan Bayu Suksmono
We propose a simple solution to the uncertain delay problem in USRP (Universal Software Radio Peripheral)-based SDR (Software-Defined Radio)-radar systems. Instead of time-synchron…
Reconstruction of Fractional Brownian Motion Signals From Its Sparse Samples Based on Compressive Sampling
Andriyan Bayu Suksmono
This paper proposes a new fBm (fractional Brownian motion) interpolation/reconstruction method from partially known samples based on CS (Compressive Sampling). Since 1/f property i…
Deconvolution of VLBI Images Based on Compressive Sensing
Andriyan Bayu Suksmono
Direct inversion of incomplete visibility samples in VLBI (Very Large Baseline Interferometry) radio telescopes produces images with convolutive artifacts. Since proper analysis an…
Compressive Sampling with Known Spectral Energy Density
Andriyan Bayu Suksmono
A method to improve l1 performance of the CS (Compressive Sampling) for A-scan SFCW-GPR (Stepped Frequency Continuous Wave-Ground Penetrating Radar) signals with known spectral ene…