scispace - formally typeset
Open AccessBook

Feynman Lectures on Computation

Reads0
Chats0
TLDR
The potentialities and limitations of computing machines were discussed in a course at Caltech called "Potentialities and Limitations of Computing Machines" as mentioned in this paper, where the authors present a "Feynmanesque" overview of standard and some not-so-standard topics in computer science.
Abstract
From the Publisher: From 1983 to 1986, the legendary physicist and teacher Richard Feynman gave a course at Caltech called "Potentialities and Limitations of Computing Machines." Although the lectures are over ten years old, most of the material is timeless and presents a "Feynmanesque" overview of many standard and some not-so-standard topics in computer science. These include compatibility, Turing machines (or as Feynman said, "Mr. Turing's machines"), information theory, Shannon's Theorem, reversible computation, the thermodynamics of computation, the quantum limits to computation, and the physics of VLSI devices. Taken together, these lectures represent a unique exploration of the fundamental limitations of digital computers. Feynman's philosophy of learning and discovery comes through strongly in these lectures. He constantly points out the benefits of playing around with concepts and working out solutions to problems on your own - before looking at the back of the book for the answers. As Feynman says in the lectures: "If you keep proving stuff that others have done, getting confidence, increasing the complexities of your solutions - for the fun of it - then one day you'll turn around and discover that nobody actually did that one! And that's the way to become a computer scientist."

read more

Citations
More filters
Journal ArticleDOI

Simulating physics with computers

TL;DR: In this paper, the authors describe the possibility of simulating physics in the classical approximation, a thing which is usually described by local differential equations, and the possibility that there is to be an exact simulation, that the computer will do exactly the same as nature.
Journal ArticleDOI

Dissipationless Quantum Spin Current at Room Temperature

TL;DR: In this article, the authors theoretically predict that the electric field can induce a substantial amount of dissipationless quantum spin current at room temperature, in hole-doped semiconductors such as Si, Ge, and GaAs.
Book

Model Based Inference in the Life Sciences: A Primer on Evidence

TL;DR: This chapter discusses the role of information theory and entropy in the construction of science hypotheses and the role that these theories play in the development of science philosophy.
Journal ArticleDOI

Quantum walks: a comprehensive review

TL;DR: This paper has reviewed several algorithms based on both discrete- and continuous-time quantum walks as well as a most important result: the computational universality of both continuous- and discrete- time quantum walks.
Journal ArticleDOI

The second laws of quantum thermodynamics

TL;DR: Here, it is found that for processes which are approximately cyclic, the second law for microscopic systems takes on a different form compared to the macroscopic scale, imposing not just one constraint on state transformations, but an entire family of constraints.