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 3445-3456 of 3,957
Software Pipelining for Quantum Loop Programs
Jingzhe Guo, Mingsheng Ying
Solving Quasiparticle Band Spectra of Real Solids using Neural-Network Quantum States
Nobuyuki Yoshioka, Wataru Mizukami, Franco Nori
Spin-photon module for scalable network architecture in quantum dots.
Zhu XY, Tu T, Guo AL, Zhou ZQ, Guo GC, Li CF.
Sublinear classical and quantum algorithms for general matrix games
Tongyang Li, Chunhao Wang, Shouvanik Chakrabarti, Xiaodi Wu
Supervised Learning Using a Dressed Quantum Network with "Super Compressed Encoding": Algorithm and Quantum-Hardware-Based Implementation
Saurabh Kumar, Siddharth Dangwal, Debanjan Bhowmik
Supervised Learning with Projected Entangled Pair States
Song Cheng, Lei Wang, Pan Zhang
Symbolic Verification of Quantum Circuits
Mingsheng Ying, Zhengfeng Ji
Systematic comparison of deep belief network training using quantum annealing vs. classical techniques
Joshua Job, Steve Adachi
Teaching Quantum Computing through a Practical Software-driven Approach: Experience Report
Mariia Mykhailova, Krysta M. Svore
The e-learning future in Algeria
Abdelkader Abbasi, Mustafa Foudi
The effect of data encoding on the expressive power of variational quantum machine learning models
Maria Schuld, Ryan Sweke, Johannes Jakob Meyer
The Effectiveness Of Quantum Learning To Increase Motivation And Mastery Of Arabic Vocabulary Of Learners
Munawarah Munawarah, Haniah Haniah, Kamaluddin Abunawas