Quantum Machine Learning
4,297 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 2185-2196 of 4,297
An improvement of optical PPM communication with high security
Osamu Hirota, Masaki Sohma
An introduction to Bayesian simulation-based inference for quantum machine learning with examples
Ivana Nikoloska, Osvaldo Simeone
An open-source data storage and visualization platform for collaborative qubit control.
Brahmbhatt D, Xu Y, Vora N, Chen L, Fruitwala N, Huang G, Ji Q, Nguyen P.
An Overview of the Quantum Circuit Design Focusing on Compression and Representation
Haque E, Paul M, Tohidi F, Ulhaq A.
Analysis of Parameterized Quantum Circuits: on The Connection Between Expressibility and Types of Quantum Gates
Yu Liu, Kentaro Baba, Kazuya Kaneko, Naoyuki Takeda, Junpei Koyama, Koichi Kimura
Analyzing Machine Learning Performance in a Hybrid Quantum Computing and HPC Environment
Samuel T. Bieberich, Michael A. Sandoval
Analyzing Quantum Circuit Depth Reduction with Ancilla Qubits in MCX Gates
Ahmad Bennakhi, Paul Franzon, Gregory T. Byrd
Application of Large Language Models to Quantum State Simulation
Shuangxiang Zhou, Ronghang Chen, Zheng An, Shi-Yao Hou
Application of quantum computing techniques in particle tracking at LHC
Chan Wai Yuen, Akiyama Daiya, Arakawa Koki, Ganguly Sanmay, Kaji Toshiaki, Minami Juri, Sawada Ryu, Tanaka Junichi, Terashi Koji, Yorita Kohei
Application of Scrum Method in the Design of Water Bill Payment Report Information System at BUMdes Mbinalun
Berlianda Oktariani Jelita Putri, Al-Khowarizmi
Application of ZX-calculus to Quantum Architecture Search
Tom Ewen, Ivica Turkalj, Patrick Holzer, Mark-Oliver Wolf
Applications of Entropy in Data Analysis and Machine Learning: A Review
Salomé A. Sepúlveda-Fontaine, José M. Amigó