Science
Science: physics, biology, chemistry, astronomy and space, neuroscience, and research explained.
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Ausiello. The Making of a New Science: A Personal Journey Through the Early Years of Theoretical Computer Science link.springer.com
A story about people, pioneers with diverse backgrounds and characters who established a new field.
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Lacona. LOGIC: Lecture Notes for Philosophy, Mathematics, and Computer Science link.springer.com
Suitable for undergraduate introductions to logic and early graduate courses on logic.
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Barak. Introduction to TCS introtcs.org
A modern, brief, and accessible text which introduces theoretical computer science for undergrads. It includes topics not usually included in standard undergrad text-books.
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Aho & Ullman. Foundations of Computer Science i.stanford.edu
A classic math-oriented introduction to computer science.
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Henry Yuen. The Complexity of Entanglement. Fall 2020 henryyuen.net
Focuses on cutting edge topics in quantum information that relate to Complexity of Entanglement. - see this class also
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SIGACT News dl.acm.org
ACM's official theoretical computer science news feed.
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Deutsch. The Fabric of Reality: The Science of Parallel Universes and Its Implications daviddeutsch.org.uk
The Fabric of Reality presents a startlingly integrated, rational and optimistic world view – the result of taking seriously the deepest ideas of modern science and the philosophy of science.
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TCS Stack Exchange cstheory.stackexchange.com
Research-oriented Q&A of theoretical computer science.
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Aspnes. Notes on Discrete Mathematics cs.yale.edu
Fall 2017 of the Yale course CPSC 202a, Mathematical Tools for Computer Science.
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Arora. The Computational Universe cs.princeton.edu
Takes us on a broad sweep of scientific knowledge and related technologies: propositional logic of the ancient Greeks (microprocessors); quantum mechanics (silicon chips); network and system phenomena (internet and search engines); computational intractability (secure…
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Arora. Thinking Like a Theorist. Princeton cs.princeton.edu
It covers a large number of the math/CS topics that you need to know for reading and doing research in Computer Science Theory.
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Arora. A Theorist's Toolkit. Princeton cs.princeton.edu
Aimed primarily at first and second year graduate students who plan to do research in theoretical computer science. We will introduce probabilistic, algebraic, combinatorial, and algorithmic methods useful in proofs.
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Koutsoupias. Probability and Computing. Oxford cs.ox.ac.uk
Introduction to probabilistic methods in computer science.
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O'Donnell. A Theorist's Toolkit. CMU cs.cmu.edu
It covers a large number of the math/CS topics that you need to know for reading and doing research in Computer Science Theory.
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Introduction to Discrete Mathematics for Computer Science. UC San-Diego coursera.org
Learn the language of Computer Science. Learn the math that defines computer science, and practice applying it through mathematical proofs and Python code.
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Cambridge Foundations of CS cl.cam.ac.uk
It teaches programming and presents some fundamental principles of computer science, especially algorithm design.
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Apt & Grädel. Lectures in Game Theory for Computer Scientists cambridge.org
Games provide mathematical models for interaction, and numerous tasks in computer science can be formulated in game-theoretic terms.
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Tu Delft. Delftse Foundations of Computation books.open.tudelft.nl
A textbook for a one quarter introductory course in theoretical computer science including logic, proof techniques, and set theory. It assumes no prerequisite other than basic programming.
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Aaronson. Quantum Computing Since Democritus assets.cambridge.org
It covers an amazing array of topics. Beginning in antiquity with Democritus, it progresses through logic and set theory,computability and complexity theory, quantum computing, cryptography, the information content of quantum states, and the interpretation of quantum mechanics.
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Rudich & Wigderson. Computational Complexity Theory ams.org
Three weeks of lectures from the IAS/Park City Mathematics Institute Summer School on computational complexity. Topics include reductions, lower-bounds, average-case complexity, randomness, interactive proof systems, probabilistically checkable proofs, quantum computing, and…
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Towards Data Science towardsdatascience.com
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scite scite.ai
A platform for discovering and evaluating scientific articles.
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SciSpace scispace.com
An AI research assistant for understanding scientific literature.
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How Large Language Models Will Transform Science, Society, and AI hai.stanford.edu
Article summarizing the capabilities and limitations of the GPT-3 model, and its potential impact on society. By Alex Tamkin and Deep Ganguli, February 5, 2021.
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FigureLabs figurelabs.ai
An AI tool for generating publication-ready scientific figures in vector format from text descriptions or sketches.
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Consensus consensus.app
Consensus is a search engine that uses AI to find answers in scientific research.
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Orquestra zapatacomputing.com
Zapata Computing's unified quantum operating environment, allowing for quantum-enabled workflows.
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Quantum Mechanics by PBS Space Time youtube.com
YouTube playlist targeting a wide audience with generic concepts around Quantum Mechanics and Computing.
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Quantum Computation and Information at CMU youtube.com
A series of lectures on quantum computing by Professor O'Donnell at CMU.
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Coding with Qiskit video series youtube.com
YouTube video series showing how to write quantum algorithms.
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Quantum Impact youtube.com
Understand how quantum computing can help scientists solve some of the world's most challenging problems such as land optimisation.
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Quantum Computing for the Determined youtube.com
A series of lectures on quantum computing basics by Michael Nielsen.
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Ph/CS 219A at Caltech: Quantum Computation youtube.com
Lectures for the first term of a course on quantum computation taught at Caltech in Fall 2020, by John Preskill.
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Anastasia Marchenkova youtube.com
Youtube channel focusing on quantum computing topics and general technology.
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Problems and Solutions in Quantum Computing worldscientific.com
Easy to advanced quantum computing and information problems with detailed solutions.
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Nielsen and Chuang workedproblems.wordpress.com
Worked examples on quantum algorithm problems.
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Qrack vm6502q.readthedocs.io
High performance LGPL-licensed C++ quantum simulator library, documentation, and test code.
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QC101 Quantum Computing & Quantum Physics for Beginners udemy.com
Introductory course on quantum cryptography and how to run quantum programs.
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Quantum Computing: Theory to Simulation and Programming udemy.com
Understanding the D-Wave Quantum Annealer architecture along with a few practical tasks.
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Strawberry Fields Community u.strawberryfields.ai
Slack channel for Xanadu and Strawberry Fields photonic/CV quantum computing discussions.
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QCL tph.tuwien.ac.at
Older, C like language for quantum computers. Only has a simulator and debugger.
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Introduction to Classical and Quantum Computing thomaswong.net
Introductory quantum computing textbook. The only prerequisite is trigonometry, and it teaches the math along the way.
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The Quantum Daily thequantumdaily.com
Outlet for the latest news in quantum computing, presenting articles for both research scientists and the curious Sunday newspaper reader.
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The Quantum Aviary thequantumaviary.blogspot.com
Blog without the hype talking about developments in quantum hardware.
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John Preskill's Notes on Quantum Computation theory.caltech.edu
Notes of Caltech's Quantum Computation Course Physics 219/Computer Science 219 by John Preskill.
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TensorFlow Quantum tensorflow.org
A quantum machine learning library that integrates Cirq with TensorFlow for prototyping of hybrid quantum-classical models for classical or quantum data.
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Documentation for Strawberry Fields strawberryfields.readthedocs.io
Background information on the photonic continuous-variable approach to quantum computation, as well as tutorials for Xanadu’s SDK.
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Quantum Computing: An Applied Approach springer.com
A hands on introduction into quantum computing that explains the foundations of quantum computing to the mathematics behind quantum systems.
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Meet the meQuanics soundcloud.com
Interviews with key quantum computing figures, aimed at the lay person.
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