64 citations · 120 across the 9 of their papers we have counts for
10 papers
QUBO-Based Conformer Selection with Quantum-Classical Hybrid Optimization for Multiconformer Ligand Modeling
Jiyun Lee, Haeseong Kim, Junho Lee +1
A ligand can adopt multiple conformations within the same binding site, and these conformations can interact differently with the surrounding protein. Multiconformer modeling must…
Quantum Amplitude-Amplification Eigensolver: A State-Learning-Assisted Approach beyond Energy-Gradient-Based Heuristics
Kyunghyun Baek, Seungjin Lee, Joonsuk Huh +4
Ground-state estimation lies at the heart of a broad range of quantum simulations. Most near-term approaches are cast as variational energy minimization and thus inherit the challe…
Analog Circuit-QED Simulator of Quantum Spin Dynamics Through the Extended Bose-Hubbard Model
Ivan V. Dudinets, Jaehee Kim, Tomás Ramos +3
We propose and validate a framework for analog simulation of the Heisenberg spin model using a circuit quantum electrodynamics (circuit-QED) platform. To this end, we develop a con…
Quantum superposing algorithm for quantum encoding
Jaehee Kim, Taewan Kim, Kyunghyun Baek +3
Efficient encoding of classical data into quantum state -- currently referred to as quantum encoding -- holds crucial significance in quantum computation. For finite-size databases…
Sampling Error Analysis in Quantum Krylov Subspace Diagonalization
Gwonhak Lee, Dongkeun Lee, Joonsuk Huh
Quantum Krylov subspace diagonalization (QKSD) is an emerging method used in place of quantum phase estimation in the early fault-tolerant era, where limited quantum circuit depth…
Variational quantum state discriminator for supervised machine learning
Dongkeun Lee, Kyunghyun Baek, Joonsuk Huh +1
Quantum state discrimination (QSD) is a fundamental task in quantum information processing with numerous applications. We present a variational quantum algorithm that performs the…
Variational quantum one-class classifier
Gunhee Park, Joonsuk Huh, Daniel K. Park
One-class classification is a fundamental problem in pattern recognition with a wide range of applications. This work presents a semi-supervised quantum machine learning algorithm…
Entanglement in the full state vector of boson sampling
Yulong Qiao, Joonsuk Huh, Frank Grossmann
The full state vector of boson sampling is generated by passing S single photons through beam splitters of M modes. The initial Fock state is expressed withgeneralized coherent sta…
Quantum circuit simulation of linear optics using fermion to qubit encoding
Seungbeom Chin, Jaehee Kim, Joonsuk Huh
This work proposes a digital quantum simulation protocol for the linear scattering process of bosons, which provides a simple extension to partially distinguishable boson cases. Ou…
Classical-to-quantum convolutional neural network transfer learning
Juhyeon Kim, Joonsuk Huh, Daniel K. Park
Machine learning using quantum convolutional neural networks (QCNNs) has demonstrated success in both quantum and classical data classification. In previous studies, QCNNs attained…