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Lecture notes on quantum machine learning for computer scientists.

Quantum Physics · Physics 2025-12-08 Bojan Žunkovič

The paper presents a course on Combinatorial Algorithms that is based on the drafts of the author that he used while teaching the course in the Department of Informatics and Applied Mathematics of Yerevan State University, Armenia from…

Discrete Mathematics · Computer Science 2007-08-30 V. V. Mkrtchyan

This is the Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence, which was held in Acapulco, Mexico, August 7-10 2003

Artificial Intelligence · Computer Science 2014-08-29 Christopher Meek , Uffe Kjaerulff

In March of 2021, the Santa Fe Institute hosted a workshop as part of its Foundations of Intelligence in Natural and Artificial Systems project. This project seeks to advance the field of artificial intelligence by promoting…

Artificial Intelligence · Computer Science 2021-05-06 Tyler Millhouse , Melanie Moses , Melanie Mitchell

This is a set of lecture notes suitable for a Master's course on quantum computation and information from the perspective of theoretical computer science. The first version was written in 2011, with many extensions and improvements in…

Quantum Physics · Physics 2023-01-18 Ronald de Wolf

This is the Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence, which was held in Montreal, QU, August 18-20, 1995

Artificial Intelligence · Computer Science 2014-08-29 Philippe Besnard , Steve Hanks

These are Notes prepared for nine lectures given at the Mathematical Sciences Research Institute, MSRI, Berkeley during the period January--March 1995. It is a pleasant duty to record here my gratitude to MSRI, and its staff, for making…

Representation Theory · Mathematics 2016-09-06 Steve Gelbart

This is the Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence, which was held in Seattle, WA, July 29-31, 1994

Artificial Intelligence · Computer Science 2013-04-16 Ramon Lopez de Mantaras , David Poole

This is the Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence, which was held in Windsor, ON, August 18-20, 1989

Artificial Intelligence · Computer Science 2013-04-16 Max Henrion , Laveen Kanal , John Lemmer , Ross Shachter

This is the Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence, which was held in Portland, OR, August 1-4, 1996

Artificial Intelligence · Computer Science 2014-08-29 Eric Horvitz , Finn Jensen

The present document is an excerpt of an essay that I wrote as part of my application material to graduate school in Computer Science (with a focus on Artificial Intelligence), in 1986. I was not invited by any of the schools that received…

Artificial Intelligence · Computer Science 2017-12-05 Christoph Adami

This is the Proceedings of the Second Conference on Uncertainty in Artificial Intelligence, which was held in Philadelphia, PA, August 8-10, 1986

Artificial Intelligence · Computer Science 2013-04-16 Laveen Kanal , John Lemmer

These notes were originally written for the Stochastic Analysis Seminar in the Department of Operations Research and Financial Engineering at Princeton University, in February of 2011. The seminar was attended and supported by members of…

Mathematical Finance · Quantitative Finance 2016-10-04 Andrew Papanicolaou

These are notes of a series of lectures on sieves, presented during the Special Activity in Analytic Number Theory, at the Max-Planck Institute for Mathematics in Bonn, during the period January--June 2002.

Number Theory · Mathematics 2007-05-23 D. R. Heath-Brown

I'll outline the latest version of my limits of math course. The purpose of this course is to illustrate the proofs of the key information-theoretic incompleteness theorems of algorithmic information theory by means of algorithms written in…

chao-dyn · Physics 2008-02-03 G. J. Chaitin

This thesis explores a number of online machine learning algorithms. From a theoret- ical perspective, it assesses their employability for a particular function approximation problem where the analytical models fall short. Furthermore, it…

Machine Learning · Computer Science 2016-05-04 Ahmet Anil Pala

These are lecture notes of the QFT-I course I gave in an online mode at Chennai Mathematical Institute. The course focussed on the free relativistic quantum fields, their interactions in the perturbative scattering framework, standard…

High Energy Physics - Theory · Physics 2022-07-07 Ghanashyam Date

This volume includes a selection of papers presented at the Workshop on Advancing Artificial Intelligence through Theory of Mind held at AAAI 2025 in Philadelphia US on 3rd March 2025. The purpose of this volume is to provide an open access…

Artificial Intelligence · Computer Science 2025-05-08 Mouad Abrini , Omri Abend , Dina Acklin , Henny Admoni , Gregor Aichinger , Nitay Alon , Zahra Ashktorab , Ashish Atreja , Moises Auron , Alexander Aufreiter , Raghav Awasthi , Soumya Banerjee , Joe M. Barnby , Rhea Basappa , Severin Bergsmann , Djallel Bouneffouf , Patrick Callaghan , Marc Cavazza , Thierry Chaminade , Sonia Chernova , Mohamed Chetouan , Moumita Choudhury , Axel Cleeremans , Jacek B. Cywinski , Fabio Cuzzolin , Hokin Deng , N'yoma Diamond , Camilla Di Pasquasio , Guillaume Dumas , Max van Duijn , Mahapatra Dwarikanath , Qingying Gao , Ashok Goel , Rebecca Goldstein , Matthew Gombolay , Gabriel Enrique Gonzalez , Amar Halilovic , Tobias Halmdienst , Mahimul Islam , Julian Jara-Ettinger , Natalie Kastel , Renana Keydar , Ashish K. Khanna , Mahdi Khoramshahi , JiHyun Kim , MiHyeon Kim , YoungBin Kim , Senka Krivic , Nikita Krasnytskyi , Arun Kumar , JuneHyoung Kwon , Eunju Lee , Shane Lee , Peter R. Lewis , Xue Li , Yijiang Li , Michal Lewandowski , Nathan Lloyd , Matthew B. Luebbers , Dezhi Luo , Haiyun Lyu , Dwarikanath Mahapatra , Kamal Maheshwari , Mallika Mainali , Piyush Mathur , Patrick Mederitsch , Shuwa Miura , Manuel Preston de Miranda , Reuth Mirsky , Shreya Mishra , Nina Moorman , Katelyn Morrison , John Muchovej , Bernhard Nessler , Felix Nessler , Hieu Minh Jord Nguyen , Abby Ortego , Francis A. Papay , Antoine Pasquali , Hamed Rahimi , Charumathi Raghu , Amanda Royka , Stefan Sarkadi , Jaelle Scheuerman , Simon Schmid , Paul Schrater , Anik Sen , Zahra Sheikhbahaee , Ke Shi , Reid Simmons , Nishant Singh , Mason O. Smith , Ramira van der Meulen , Anthia Solaki , Haoran Sun , Viktor Szolga , Matthew E. Taylor , Travis Taylor , Sanne Van Waveren , Juan David Vargas , Rineke Verbrugge , Eitan Wagner , Justin D. Weisz , Ximing Wen , William Yeoh , Wenlong Zhang , Michelle Zhao , Shlomo Zilberstein

The lecture notes cover the basics of quantum computing methods for quantum field theory applications. No detailed knowledge of either quantum computing or quantum field theory is assumed and we have attempted to keep the material at a…

Quantum Physics · Physics 2025-12-03 Aninda Sinha , Ujjwal Basumatary

The material in this note is used as an introduction to distributed algorithms in a four year course on software and automatic control system in the computer technology department of the Komsomolsk-on-Amur state technical university. All…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-01-18 Ahmet A. Husainov