DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 8,857–8,892 of 14,444 resources
Publication: Quantum Hopfield neural network. Published Oct 10, 2017.
Publication: Hybrid Quantum-Classical Convolutional Neural Networks. Published Nov 8, 2019.
Publication: A Continuous Variable Born Machine. Published Nov 2, 2020.
Publication: Quantum-inspired algorithms in practice. Published May 24, 2019.
Publication: Quantum-inspired low-rank stochastic regression with logarithmic dependence on the dimension. Published Nov 12, 2018.
Publication: Quantum principal component analysis only achieves an exponential speedup because of its state preparation assumptions. Published Oct 31, 2018.
Publication: A quantum-inspired classical algorithm for recommendation systems. Published Jul 10, 2018.
Publication: Quantum gradient descent for linear systems and least squares. Published Apr 17, 2017.
Publication: Quantum gradient descent and Newton's method for constrained polynomial optimization. Published Dec 6, 2016.
Publication: Resonant Quantum Principal Component Analysis. Published Apr 6, 2021.
Publication: Quantum Spectral Clustering. Published Jul 1, 2020.
Publication: Towards quantum advantage via topological data analysis. Published May 6, 2020.
Publication: Quantum Expectation-Maximization for Gaussian Mixture Models. Published Aug 19, 2019.
Publication: Smooth input preparation for quantum and quantum-inspired machine learning. Published Apr 1, 2018.
Publication: Quantum Recommendation Systems. Published Mar 29, 2016.
Publication: Quantum principal component analysis. Published Jul 1, 2013.
This curated list contains python packages for time series analysis
Explore this resource at its source website for documentation and current information.
A comprehensive course on conducting and presenting policy evaluations using interrupted time series analysis.
MIT OpenCourseWare is a web based publication of virtually all MIT course content. OCW is open and available to the world and is a…
Offered by The State University of New York. Welcome to Practical Time Series Analysis! Many of us are "accidental" data analysts. We ... Enroll…
Explore this resource at its source website for documentation and current information.
Publication: Experimental quantum speed-up in reinforcement learning agents. Published Mar 10, 2021.
Publication: Quantum-accessible reinforcement learning beyond strictly epochal environments. Published Aug 4, 2020.
Publication: Exponential improvements for quantum-accessible reinforcement learning. Published Oct 30, 2017.
Quantum speed-up in global optimization of binary neural nets, Liao, Yidong, Ebler, Daniel, Liu, Feiyang, Dahlsten, Oscar
Publication: Open Quantum Assembly Language. Published Jul 11, 2017.
Publication: A MLIR Dialect for Quantum Assembly Languages. Published Jan 27, 2021.
Publication: OpenQASM 3: A broader and deeper quantum assembly language. Published Apr 30, 2021.
Publication: QASMTrans: A QASM based Quantum Transpiler Framework for NISQ Devices. Published Aug 15, 2023.
Publication: The Solovay-Kitaev algorithm. Published May 6, 2005.
Publication: An Introduction to Cartan's KAK Decomposition for QC Programmers. Published Jul 18, 2005.
Publication: A Comprehensive Study of Quantum Arithmetic Circuits. Published Jun 6, 2024.
Publication: Quantum Arithmetic Algorithms: Implementation, Resource Estimation, and Comparison. Published Sep 6, 2025.
Public repository by AileenNielsen. Primary language: Jupyter Notebook.
Practical Time-Series Analysis, published by Packt
