Jeongho Bang

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	Tutte	Dal 2019
Citazioni	362	259
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i10-index	13	11

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Jinhyoung LeeDepartment of Physics, Hanyang University, Seoul, KoreaEmail verificata su hanyang.ac.kr
Junghee RyuDivision of National Supercomputing, Korea Institute of Science and Technology InformationEmail verificata su hanyang.ac.kr
Seokwon YooPh. D. Student of Quantum Information Science, Hanyang UniversityEmail verificata su hanyang.ac.kr
Hyunseok JeongProfessor of Physics, Seoul National UniversityEmail verificata su snu.ac.kr
Changhyoup LeeKorea Research Institute of Standards and ScienceEmail verificata su kriss.re.kr
Wooyeong SongKorea Institute of Science and Technology InformationEmail verificata su kisti.re.kr
Marcin PawłowskiEmail verificata su univ.gda.pl
Chang-Woo LeeResearch Fellow at Korea Institute of Advanced StudyEmail verificata su kias.re.kr
Jaemin LimControlled Quantum Dynamics Group, Ulm University, GermanyEmail verificata su uni-ulm.de
Sang Min LeeKRISS, Korea Research Institute of Standards and ScienceEmail verificata su kriss.re.kr
Youngrong LimKorea Institute for Advanced StudyEmail verificata su kias.re.kr
Kyunghyun BaekErectronics and Telecommunications Research InstituteEmail verificata su etri.re.kr
Kabgyun JeongPrincipal Researcher, Seoul National UniversityEmail verificata su snu.ac.kr
Dagomir Marcin KaszlikowskiAssociate Professor at National University of SingaporeEmail verificata su nus.edu.sg
Marcin WieśniakUniwersytet GdańskiEmail verificata su ug.edu.pl
Hyunchul NhaTexas A & M University at QatarEmail verificata su qatar.tamu.edu
Kwang-Geol LeeDepartment of physics, Hanyang UniversityEmail verificata su hanyang.ac.kr
Arijit DuttaEmail verificata su kias.re.kr
B.S. HamGIST (Gwangju Institute of Science and TechnologyEmail verificata su gist.ac.kr
Jung Jun ParkKorea Institute for Advanced StudyEmail verificata su kias.re.kr

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Jeongho Bang

Institute for Convergence Research and Education in Advanced Technology, Yonsei University

Email verificata su yonsei.ac.kr

Quantum Information Quantum Machine Learning Quantum Computing Quantum Algorithm Quantum Optics


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	44	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	37	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
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	25	2010
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
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	24	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	22	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	10	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	9	2014
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	7	2021
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	6	2021
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
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 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	4	2022
Quantifiable simulation of quantum computation beyond stochastic ensemble computation J Bang, J Ryu, CW Lee, KH Yee, J Lee, W Son Advanced Quantum Technologies 1 (2), 1800037, 2018	4	2018

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