quantum computers

An 88-minute Microsoft Research talk that explains how quantum computers beat classical ones using basic linear algebra, qubits, superposition and gates. It works through the Deutsch oracle problem and ends with entanglement, teleportation and a live demo.

Ron Garret's Google Tech Talk argues that quantum mechanics is no harder to understand than relativity and that popular accounts wrongly rely on the Copenhagen interpretation. He presents measurement as entanglement and explains phenomena like the quantum eraser.

Daniel J. Bernstein and Tanja Lange survey recent highlights in post-quantum cryptography at 35C3, covering the NIST competition, network protocol experiments, and broken candidates.

A Strange Loop 2019 talk by Aaron Cummings on the computing systems aboard Voyager 1 and 2, which control the spacecraft and record and return data decades after launch in 1977.

Peter Shor tells the story of how he discovered Shor's Algorithm, from his early mathematics days to the quantum factoring breakthrough. It was recorded at MIT at the Physics of Computation conference.

Robert Smith of Rigetti Computing talks at a Bay Area Lisp and Scheme meetup about using Common Lisp for quantum computing. He covers the technical, sociological and psychological sides of working across disciplines.

Sean Carroll's Talks at Google presentation of his book Something Deeply Hidden. He gives an accessible introduction to quantum mechanics and argues for the many-worlds interpretation and the emergence of spacetime.

Jason Turner's CppCon 2016 talk builds a simple Commodore 64 game using C++17, showing how constexpr and const let a modern compiler produce tight 6502 code. He walks through assembly output to show abstractions being optimized away.

A full-day recording of the University of Utah computer science department's 50th anniversary event with panels, keynotes and talks by alumni and pioneers. It includes Ivan Sutherland's presentation on single flux quantum electronics.

A 2015 talk by David Deutsch with slides and audio about constructor theory and how physics, in particular the many-worlds interpretation, can be framed without probability.

Conrad Wolfram argues that the part of math taught in schools, hand calculation, is tedious and mostly irrelevant to real mathematics. He proposes teaching math through computer programming so students can tackle real problems.

A 2014 talk by Geo Carncross (geocar) demonstrating kOS, a minimalist operating system and programming environment built around the k language, with early screenshots.

Connor Krukosky, an 18-year-old college student and vintage computer collector, tells how he bought an IBM z890 mainframe and got it running at home. The talk was given at SHARE in San Antonio in March 2016.

Rare footage of Steve Jobs giving a 22 minute presentation about Apple in 1980, donated to the Computer History Museum. In it he explains the company name and the bicycle-for-the-mind idea for computers.

Theoretical physicist Nima Arkani-Hamed gives a public talk on why spacetime may not be fundamental and what might replace it, including newer approaches to scattering amplitudes.

Cory Doctorow's Talks at Google lecture on the coming civil war over general-purpose computing. He argues that locked-down devices, DRM, and surveillance threaten user control of computers.

Damian Conway's hour-long keynote at the Perl conference, On the Shoulders of Giants, showing off Perl 6 (Raku) features with history, algorithms and a quantum math operator built with grammars. It is delivered with comic flair.

Jack Moffitt presents the architecture of Servo, Mozilla's experimental browser engine written in Rust, focusing on parallelism across cores, GPUs and SIMD and the safety properties gained from Rust.

Brian Warner, author of magic-wormhole, presents the tool at PyCon 2016. He explains how a few secret words let two computers securely transfer files, covering the cryptography (NaCl, SPAKE2) and library use.

A 2006 Google TechTalk in which Luis von Ahn introduces human computation, using people's effort to solve problems like image recognition that computers cannot yet handle. It covers games with a purpose and related ideas such as CAPTCHAs.

Jeff Hawkins presents his view that the neocortex works on principles different from traditional computers. He describes sparse distributed representations and how they are learned, then shows how Numenta applies them to predict from high-velocity data streams.