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 277-288 of 521
Optimal discrimination of quantum sequences
Tathagata Gupta, Shayeef Murshid, Vincent Russo, Somshubhro Bandyopadhyay
Optimal quantum state tomography with local informationally complete measurements
Casey Jameson, Zhen Qin, Alireza Goldar, Michael B. Wakin, Zhihui Zhu, Zhexuan Gong
Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning
Michael Kölle, Daniel Seidl, Maximilian Zorn, Philipp Altmann, Jonas Stein, Thomas Gabor
PACMan: A software package for automated single-cell chlorophyll fluorometry.
Pontén O, Xiao L, Kutter J, Cui Y, Wählby C, Behrendt L
Parameterized Quantum Query Algorithms for Graph Problems
Tatsuya Terao, Ryuhei Mori
PENGARUH MODEL QUANTUM LEARNING TERHADAP HASIL BELAJAR IPA PESERTA DIDIK KELAS VIII B SMP ISLAM RAUDLATUL HUSNA KEPOK
author
Permutation Superposition Oracles for Quantum Query Lower Bounds
Christian Majenz, Giulio Malavolta, Michael Walter
Physics-informed neural network for quantum control of NMR registers
Priya Batra, T. S. Mahesh
Pilot-Quantum: A Quantum-HPC Middleware for Resource, Workload and Task Management
Pradeep Mantha, Florian J. Kiwit, Nishant Saurabh, Shantenu Jha, Andre Luckow
PO-QA: A Framework for Portfolio Optimization using Quantum Algorithms
Kamila Zaman, Alberto Marchisio, Muhammad Kashif, Muhammad Shafique
Post-Quantum Cryptography (PQC) Network Instrument: Measuring PQC Adoption Rates and Identifying Migration Pathways
Jakub Sowa, Bach Hoang, Advaith Yeluru, Steven Qie, Anita Nikolich, Ravishankar Iyer, Phuong Cao
Post-Quantum Cryptography: Securing AI Systems against Quantum Threats
Danny Smith, Akinniyi James Samuel