| A quantum speedup in machine learning: Finding a N-bit Boolean function for a classification S Yoo, J Bang, C Lee, J Lee New Journal of Physics 16 (10), 103014, 2014 | 43 | 2014 |
| A strategy for quantum algorithm design assisted by machine learning J Bang, J Ryu, S Yoo, M Pawlowski, J Lee New Journal of Physics 16 (7), 073017, 2014 | 35 | 2014 |
| Fidelity deviation in quantum teleportation J Bang, J Ryu, D Kaszlikowski Journal of Physics A: Mathematical and Theoretical 51 (13), 135302, 2018 | 33 | 2018 |
| Quantum macroscopicity measure for arbitrary spin systems and its application to quantum phase transitions CY Park, M Kang, CW Lee, J Bang, SW Lee, H Jeong Physical Review A 94, 052105, 2016 | 24 | 2016 |
| Genuinely high-dimensional nonlocality optimized by complementary measurements J Lim, J Ryu, S Yoo, C Lee, J Bang, J Lee New Journal of Physics 12 (10), 103012, 2010 | 24 | 2010 |
| A quantum heuristic algorithm for the traveling salesman problem J Bang, J Ryu, C Lee, S Yoo, J Lim, J Lee Journal of the Korean Physical Society 61 (12), 1944-1949, 2012 | 23 | 2012 |
| Optimal usage of quantum random access memory in quantum machine learning J Bang, A Dutta, SW Lee, J Kim Physical Review A 99 (1), 012326, 2019 | 20 | 2019 |
| Learning unknown pure quantum states SM Lee, J Lee, J Bang Physical Review A 98 (5), 052302, 2018 | 18 | 2018 |
| Procedures for realizing an approximate universal-not gate J Bang, SW Lee, H Jeong, J Lee Physical Review A 86 (6), 062317, 2012 | 18 | 2012 |
| Protocol for secure quantum machine learning at a distant place J Bang, SW Lee, H Jeong Quantum Information Processing 14, 3933-3947, 2015 | 17 | 2015 |
| A genetic-algorithm-based method to find the unitary transformations for any desired quantum computation and application to a one-bit oracle decision problem J Bang, S Yoo Journal of the Korean Physical Society 65 (12), 2001, 2015 | 14 | 2015 |
| Quantum learning machine J Bang, J Lim, MS Kim, J Lee arXiv preprint arXiv:0803.2976, 2008 | 12 | 2008 |
| Experimental demonstration of quantum learning speedup with classical input data JS Lee, J Bang, S Hong, C Lee, KH Seol, J Lee, KG Lee Physical Review A 99 (1), 012313, 2019 | 9 | 2019 |
| Inseparability Criterion Using Higher-Order Schrödinger-Robertson Uncertainty Relation CW Lee, J Ryu, J Bang, H Nha Journal of the Optical Society of America B 31 (4), 656-663, 2014 | 8 | 2014 |
| Quantum-mechanical machinery for rational decision-making in classical guessing game J Bang, J Ryu, M Pawłowski, BS Ham, J Lee Scientific Reports 6, 21424, 2016 | 6 | 2016 |
| Tangible reduction in learning sample complexity with large classical samples and small quantum system W Song, M Wieśniak, N Liu, M Pawłowski, J Lee, J Kim, J Bang Quantum Information Processing 20 (8), 275, 2021 | 5 | 2021 |
| Quantum state learning via single-shot measurements SM Lee, HS Park, J Lee, J Kim, J Bang Physical Review Letters 126 (17), 170504, 2021 | 5 | 2021 |
| Quantum secure learning with classical samples W Song, Y Lim, H Kwon, G Adesso, M Wieśniak, M Pawłowski, J Kim, ... Physical Review A 103 (4), 042409, 2021 | 5 | 2021 |
| Polynomial T-depth quantum solvability of noisy binary linear problem: from quantum-sample preparation to main computation W Song, Y Lim, K Jeong, J Lee, JJ Park, MS Kim, J Bang New Journal of Physics 24 (10), 103014, 2022 | 3 | 2022 |
| Quantum solvability of noisy linear problems by divide-and-conquer strategy W Song, Y Lim, K Jeong, YS Ji, J Lee, J Kim, MS Kim, J Bang Quantum Science and Technology 7 (2), 025009, 2022 | 3 | 2022 |
Jinhyoung LeeDepartment of Physics, Hanyang University, Seoul, Korea在 hanyang.ac.kr 的电子邮件经过验证
