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Daniel K. Park
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2020 – today
- 2024
- [j12]Nicolas M. de Oliveira, Daniel K. Park
, Israel F. Araujo
Quantum variational distance-based centroid classifier. Neurocomputing 576: 127356 (2024) - [i10]Changwon Lee, Israel F. Araujo, Dongha Kim, Junghan Lee, Siheon Park, Ju-Young Ryu, Daniel K. Park:
Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension. CoRR abs/2403.19099 (2024) - [i9]Junggu Choi, Tak Hur, Daniel K. Park, Na-Young Shin, Seung-Koo Lee, Hakbae Lee, Sanghoon Han:
Early-stage detection of cognitive impairment by hybrid quantum-classical algorithm using resting-state functional MRI time-series. CoRR abs/2405.01554 (2024) - 2023
- [j11]Roberto Giuntini, Federico Hernan Holik
Quantum-inspired algorithm for direct multi-class classification. Appl. Soft Comput. 134: 109956 (2023) - [j10]Juhyeon Kim, Joonsuk Huh, Daniel K. Park
Classical-to-quantum convolutional neural network transfer learning. Neurocomputing 555: 126643 (2023) - [j9]Gunhee Park
Variational quantum one-class classifier. Mach. Learn. Sci. Technol. 4(1): 15006 (2023) - [j8]Changwon Lee
Scalable quantum measurement error mitigation via conditional independence and transfer learning. Mach. Learn. Sci. Technol. 4(4): 45051 (2023) - [j7]Israel F. Araujo
Configurable sublinear circuits for quantum state preparation. Quantum Inf. Process. 22(2): 123 (2023) - [i8]Tak Hur, Israel F. Araujo, Daniel K. Park:
Neural Quantum Embedding: Pushing the Limits of Quantum Supervised Learning. CoRR abs/2311.11412 (2023) - 2022
- [j6]Tak Hur
Quantum convolutional neural network for classical data classification. Quantum Mach. Intell. 4(1) (2022) - [i7]Adenilton J. da Silva, Daniel K. Park:
Linear-depth quantum circuits for multi-qubit controlled gates. CoRR abs/2203.11882 (2022) - [i6]Siheon Park, Daniel K. Park, June-Koo Kevin Rhee:
Variational Quantum Approximate Support Vector Machine With Inference Transfer. CoRR abs/2206.14507 (2022) - [i5]Juhyeon Kim, Joonsuk Huh, Daniel K. Park:
Classical-to-quantum convolutional neural network transfer learning. CoRR abs/2208.14708 (2022) - [i4]Matt Lourens, Ilya Sinayskiy, Daniel K. Park, Carsten Blank, Francesco Petruccione
Architecture representations for quantum convolutional neural networks. CoRR abs/2210.15073 (2022) - 2021
- [j5]Tiago Mendonça Lucena de Veras
Circuit-Based Quantum Random Access Memory for Classical Data With Continuous Amplitudes. IEEE Trans. Computers 70(12): 2125-2135 (2021) - [c2]Daniel K. Park, Carsten Blank, Francesco Petruccione
Robust quantum classifier with minimal overhead. IJCNN 2021: 1-7 - [i3]Israel F. Araujo, Daniel K. Park, Teresa Bernarda Ludermir, Wilson Rosa de Oliveira, Francesco Petruccione, Adenilton J. da Silva:
Configurable sublinear circuits for quantum state preparation. CoRR abs/2108.10182 (2021) - 2020
- [j4]Changjun Kim
Quantum Error Mitigation With Artificial Neural Network. IEEE Access 8: 188853-188860 (2020) - [j3]Kyungdeock Daniel Park, Jonghun Park, June-Koo Kevin Rhee:
Quantum-classical reinforcement learning for decoding noisy classical parity information. Quantum Mach. Intell. 2(1): 1-11 (2020) - [i2]Israel F. Araujo, Kyungdeock Daniel Park, Francesco Petruccione, Adenilton J. da Silva:
A divide-and-conquer algorithm for quantum state preparation. CoRR abs/2008.01511 (2020) - [i1]Tiago Mendonça Lucena de Veras, Ismael C. S. de Araujo, Daniel K. Park, Adenilton J. da Silva:
Circuit-based quantum random access memory for classical data with continuous amplitudes. CoRR abs/2011.07977 (2020)
2010 – 2019
- 2016
- [j2]Kyungdeock Daniel Park
Erratum to: Hyperfine spin qubits in irradiated malonic acid: heat-bath algorithmic cooling. Quantum Inf. Process. 15(1): 607-608 (2016) - 2015
- [j1]Kyungdeock Daniel Park
Hyperfine spin qubits in irradiated malonic acid: heat-bath algorithmic cooling. Quantum Inf. Process. 14(7): 2435-2461 (2015)
2000 – 2009
- 2006
- [c1]Daniel K. Park, Xiong Wang:
Toward a General Framework for Microarray Data Comparison. CIT 2006: 212
Coauthor Index
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