Quantum Algorithms for the Approximate k-List Problem and their Application to Lattice SievingFinally, we explore the large quantum memory regime by adapting parallel quantum search [Beals et al., Proc. Roy. Soc. A'13] to the 2-Sieve, and give an analysis in the quantum circuit model. We...
This is a tool developed by GQI that allows you to visualize the quantum computing resources needed to process 19 different algorithms with 8 different quantum computing configurations. It provides both the number of physical qubits required and the runtime. For more details about the algorithms and...
Learn domain-specific quantum algorithms and how to run them on present-day quantum hardware. This course is part III of the series of Quantum computing courses, which covers aspects from fundamentals to present-day hardware platforms to quantum software and programming. The goal of part III is ...
Shor's algorithm : provides exponential speedup (relative to currently known non-quantum algorithms) for factoring a number Shortest seek first : Disk scheduling algorithm to reduce seek time. Shunting yard algorithm : convert an infix-notation math expression to postfix Simon's algorithm : provides...
Introduction to Quantum Computing with Qiskit (with IBM Quantum) Marginal Revolution University (MRU) Free Certificates Some of MRU courses Marginal Revolution University (MRU) now provides 18 economics courses and series to everyone for free, some with a final exam and certificate. Learning videos...
Initiative/Provider University/Entity Categories Subjects/Skills Course Length Start Date Differential Equations Part II Series Solutions (Coursera) View more details May 12th 2025 Coursera Sci: Mathematics Beginner 5-12 Weeks 1-4 Hours/Week Foundations of Quantum Mechanics (Coursera) ...
Quantum algorithms for reinforcement learning with a generative model Ashish Kapoor (Microsoft Research) · Robin Kothari (Microsoft) · Martin Roetteler (Microsoft) · Aarthi Sundaram (Microsoft) · Daochen Wang (University of Maryland) Soft then Hard: Rethinking the Quantization in Neural Image Compr...
This book is a systematic exposition of the theoretical foundations of quantum programming, organized along the line from superposition-of-data to superposition-of-programs. The book focuses on imperative quantum programming, but most ideas and techniques introduced in this book can also be generalized...
machine-learning-algorithms –Conceptual understanding of all machine learning algorithms. Machine-Learning-Tutorials –Machine Learning and Deep Learning Tutorials machine-learning-with-ruby –Machine learning in Ruby macos-apps magictools –Game Development resources to make magic happen. maintenance-modules...
大佬的online seminar,感兴趣的可以听一下。 Dear Psi-k'ers, a number of colleagues have asked me where to find more information on quantum-mechanical simulations during thes… 蘭一发表于CP2K ... Day1-《The Introduction of Statistical Learning》-学习笔记 RandomWalker747打开...