Quantum Machine Learning
521 papers for year 2024
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 37-48 of 521
AI-Driven Identification of Critical Dependencies in US-China Technology Supply Chains: Implications for Economic Security Policy
Guoli Rao, Chengru Ju, Zhen Feng
AMARETTO: Enabling Efficient Quantum Algorithm Emulation on Low-Tier FPGAs
Christian Conti, Deborah Volpe, Mariagrazia Graziano, Maurizio Zamboni, Giovanna Turvani
An Accessible Planar Charged Particle Trap for Experiential Learning in Quantum Technologies
Robert E. Thomas, Cole E. Wolfram, Noah B. Warren, Isaac J. Fouch, Boris B. Blinov, Maxwell F. Parsons
An Exponential Separation Between Quantum and Quantum-Inspired Classical Algorithms for Linear Systems
Allan Grønlund, Kasper Green Larsen
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