Quantum Machine Learning
3,957 papers
Quantum Machine Learning Research Context
This category covers quantum machine learning research, including quantum kernels, variational classifiers, hybrid learning systems, generative models, and QML benchmarks.
Showing 565-576 of 3,957
Integrated microfluidic platform for inertial separation and encapsulation of single cells in droplets.
Galogahi FM, Cha H, Yadav S, Ta HT, Nguyen NT
Integrating epidemiological evidence and immunodiagnostic development for early diagnosis of Bothrops spp. envenomation in Brazil.
Fonseca MF, Becker-Finco A, Prado-Costa B, Coelho GR, Weber-Lima MM, Degraf Muzzi JC, Jiacomini IG, Beltramino M, Freitas-de-Sousa LA, Clissa PB, Ferreira de Moura J, Alvarenga LM
Integrating Julia-ITensors into the Tensor Network Quantum Virtual Machine (TNQVM)
Zachary W. Windom, Daniel Claudino, Vicente Leyton-Ortega
Integrating Remote Quantum Random Number Generator as a Shared Resource into GNU/Linux via D-Bus
Krišjānis Petručeņa, Sergejs Kozlovičs, Elīna Kalniņa, Edgars Rencis, Juris Vīksna, Edgars Celms, Lelde Lāce
Integration of steganographic physical layer key negotiation in quantum noise stream cipher system
Jiaqi Zhao, Tao Pu, Pengzhuo Sun, Di Wu, Yizhou Wang, Jilin Zheng, Lin Lu, Xiaoxiao Dai, Mengfan Cheng, Qi Yang
Intelligent power trading and scheduling strategies for multi-energy virtual power plant leveraging quantum physics-inspired optimization
Xinlei Huang, Liang Dong, Jiande Xue, Tao Liu, Jianhong Wang
Intelligent storage year identification of Anhua dark tea via carbon quantum dots-based colorimetric sensor array and computer vision
Wu Wang, Ye He, Wenjie Zhou, Yangao Zhu, Xiao-Zhi Wang, Yao Chen, Tong Wang
Internal quantum constraints of natural computation in autopoietic systems
Abir U. Igamberdiev
Interpolation of unitaries with time-dependent Hamiltonians via Deep Learning
Antonio Guerra, Daniel Uzcategui-Contreras, Aldo Delgado, Esteban S. Gómez
Interpretable machine learning and molecular simulations identify natural pancreatic lipase inhibitors and hydrophobic hotspot residues.
Zhao Y, Wang J, Yu S, Zhuo X, Li X, Chen Z, Liang G
Interpretable Machine Learning for Benchmarking <scp>DFT</scp> Electron Affinity Predictions: A Generalized Additive Model Approach
Ismail Badran, Abdelrahman Eid, Motasem Far, Nadeen Abbas, Raghad Tayeh, Sahar Salman, Yasmeen Hamdan
InterQ: Communication-Aware Scheduling Across Modular QPUs with Classical and Quantum Links
Vinooth Kulkarni, Jaehyun Lee, Lauren Li, Aaron Orenstein, Xinpeng Li, Shuai Xu, Daniel Blankenberg, Vipin Chaudhary