User profiles for Henry Makhanov
 | Henry MakhanovQuantum Research Scientist, qBraid Co. Verified email at qbraid.com Cited by 50 |
Quantum computing applications for flight trajectory optimization
Major players in the global aerospace industry are shifting their focus toward achieving net
carbon-neutral operations by 2050. A considerable portion of the overall carbon emission …
carbon-neutral operations by 2050. A considerable portion of the overall carbon emission …
Quantum-enhanced support vector machine for large-scale multi-class stellar classification
KC Chen, X Xu, H Makhanov, HH Chung… - … Conference on Intelligent …, 2024 - Springer
In this study, we introduce an innovative Quantum-enhanced Support Vector Machine (QSVM)
approach for stellar classification problems. The QSVM algorithm in our work shows better …
approach for stellar classification problems. The QSVM algorithm in our work shows better …
Quantum-enhanced support vector machine for large-scale stellar classification with gpu acceleration
KC Chen, X Xu, H Makhanov, HH Chung… - arXiv preprint arXiv …, 2023 - arxiv.org
In this study, we introduce an innovative Quantum-enhanced Support Vector Machine (QSVM)
approach for stellar classification, leveraging the power of quantum computing and GPU …
approach for stellar classification, leveraging the power of quantum computing and GPU …
Embedding learning in hybrid quantum-classical neural networks
Quantum embedding learning is an important step in the application of quantum machine
learning to classical data. In this paper we propose a quantum few-shot embedding learning …
learning to classical data. In this paper we propose a quantum few-shot embedding learning …
Exploring the relationship between Deep Neural Networks and Neural Tangent Kernel via covariance manipulation
H Makhanov - 2023 - repositories.lib.utexas.edu
In this study, we examine the relationship between Deep Neural Networks (DNNs) and the
Neural Tangent Kernel (NTK), with a particular emphasis on covariance manipulation. Using …
Neural Tangent Kernel (NTK), with a particular emphasis on covariance manipulation. Using …
Quantum-Enhanced Support Vector Machine
KC Chen, X Xu, H Makhanov… - … and Applications: 20th …, 2024 - books.google.com
In this study, we introduce an innovative Quantum-enhanced Support Vector Machine (QSVM)
approach for stellar classification problems. The QSVM algorithm in our work shows better …
approach for stellar classification problems. The QSVM algorithm in our work shows better …
QCE 2022
Y Ke - computer.org
… ), Henry Makhanov (The University of Texas at Austin, USA), Danylo Lykov (Argonne National
Laboratory, USA; The University of Chicago, USA), Anuj Apte (The University of Chicago, …
Laboratory, USA; The University of Chicago, USA), Anuj Apte (The University of Chicago, …
2024 IEEE International Conference on Quantum Computing and Engineering
C Culhane, Y Alexeev, S Sheldon - computer.org
… Henry Makhanov …
Initialization of active contours for segmentation of breast cancer via fusion of ultrasound, Doppler, and elasticity images
…, U Chaumrattanakul, K Kotani, SS Makhanov - Ultrasonics, 2019 - Elsevier
Active contours (snakes) are an efficient method for segmentation of ultrasound (US)
images of breast cancer. However, the method produces inaccurate results if the seeds are …
images of breast cancer. However, the method produces inaccurate results if the seeds are …
Automatic initialization for active contour model in breast cancer detection utilizing the integration of ultrasonography image modalities
C Keatmanee, SS Makhanov, K Kotani… - 2017 56th Annual …, 2017 - ieeexplore.ieee.org
Breast cancer is the most common category of cancers in woman around the world.
Ultrasonography imaging modalities (US) are highly recommended for breast cancer examining due …
Ultrasonography imaging modalities (US) are highly recommended for breast cancer examining due …