Quantum Machine Learning
248 papers for year 2022
Showing 13-24 of 248
A Novel Framework For Brain Disease Classification Using Quantum Convolutional Neural Network
Sanskriti Chandra, Shivam Saxena, Santosh Kumar, Mithilesh Kumar Chaube, Narendra Kuber Bodhey
A Novel QKD Approach to Enhance IIOT Privacy and Computational Knacks.
Singamaneni KK, Dhiman G, Juneja S, Muhammad G, AlQahtani SA, Zaki J.
A practical overview of image classification with variational tensor-network quantum circuits
Diego Guala, Shaoming Zhang, Esther Cruz, Carlos A. Riofrío, Johannes Klepsch, Juan Miguel Arrazola
A quantum analytical Adam descent through parameter shift rule using Qibo
Matteo Robbiati, Stavros Efthymiou, Andrea Pasquale, Stefano Carrazza
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition
Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Tara N. Sainath, Sabato Marco Siniscalchi, Chin-Hui Lee
A Secure Multiparty Quantum Least Common Multiple Computation Protocol
Zixian Li, Wenjie Liu
A streamlined quantum algorithm for topological data analysis with exponentially fewer qubits
Sam McArdle, András Gilyén, Mario Berta
A super-polynomial quantum-classical separation for density modelling
Niklas Pirnay, Ryan Sweke, Jens Eisert, Jean-Pierre Seifert
A Survey on Quantum Reinforcement Learning
Nico Meyer, Christian Ufrecht, Maniraman Periyasamy, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
Accelerating Progress Towards Practical Quantum Advantage: The Quantum Technology Demonstration Project Roadmap
Paul Alsing, Phil Battle, Joshua C. Bienfang, Tammie Borders, Tina Brower-Thomas, Lincoln D. Carr, Fred Chong, Siamak Dadras, Brian DeMarco, Ivan Deutsch, Eden Figueroa, Danna Freedman, Henry Everitt, Daniel Gauthier, Ezekiel Johnston-Halperin, Jungsang Kim, Mackillo Kira, Prem Kumar, Paul Kwiat, John Lekki, Anjul Loiacono, Marko Loncar, John R. Lowell, Mikhail Lukin, Celia Merzbacher, Aaron Miller, Christopher Monroe, Johannes Pollanen, David Pappas, Michael Raymer, Ronald Reano, Brandon Rodenburg, Martin Savage, Thomas Searles, Jun Ye
Accelerating the training of single-layer binary neural networks using the HHL quantum algorithm
Sonia Lopez Alarcon, Cory Merkel, Martin Hoffnagle, Sabrina Ly, Alejandro Pozas-Kerstjens
All rf-based tuning algorithm for quantum devices using machine learning
Barnaby van Straaten, Federico Fedele, Florian Vigneau, Joseph Hickie, Daniel Jirovec, Andrea Ballabio, Daniel Chrastina, Giovanni Isella, Georgios Katsaros, Natalia Ares