149 citations · 267 across the 9 of their papers we have counts for
10 papers
Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization
Trong Duong, Sang T. Truong, Minh Tam +3
Quantum neural networks are promising for a wide range of applications in the Noisy Intermediate-Scale Quantum era. As such, there is an increasing demand for automatic quantum neu…
Variational Quantum Approximate Support Vector Machine with Inference Transfer
Siheon Park, Daniel K. Park, June-Koo Kevin Rhee
A kernel-based quantum classifier is the most practical and influential quantum machine learning technique for the hyper-linear classification of complex data. We propose a Variati…
Quantum computational study of chloride ion attack on chloromethane for chemical accuracy and quantum noise effects with UCCSD and k-UpCCGSD ansatzes
Hocheol Lim, Hyeon-Nae Jeon, June-Koo Rhee +2
Quantum computing is expected to play an important role in solving the problem of huge computational costs in various applications by utilizing the collective properties of quantum…
Circuit-based quantum random access memory for classical data with continuous amplitudes
Tiago M. L. de Veras, Ismael C. S. de Araujo, Daniel K. Park +1
Loading data in a quantum device is required in several quantum computing applications. Without an efficient loading procedure, the cost to initialize the algorithms can dominate t…
Multiview Variational Deep Learning with Application to Scalable Indoor Localization
Minseuk Kim, Changjun Kim, Dongsoo Han +1
Radio channel state information (CSI) measured with many receivers is a good resource for localizing a transmit device with machine learning with a discriminative model. However, C…
Quantum-classical reinforcement learning for decoding noisy classical parity information
Daniel K. Park, Jonghun Park, June-Koo Kevin Rhee
Learning a hidden parity function from noisy data, known as learning parity with noise (LPN), is an example of intelligent behavior that aims to generalize a concept based on noisy…