Physical Meaning of Data
Physical Meaning of Data is a Platonic/Theory of forms idea that could be related to physical Church–Turing thesis. This idea also has triggered significant debates between Ludwig Wittenstein and Alan uring. The phrase, Data has physical meaning is particularly applicable to the architecture of computers or network of computers. The speed of how data can be transferred and the way how data are being represented determine the boundary of how data could affect the physical world. The intentional act to organize information processing tools, either by human organization or by machine architecture, is considered to be a way to assign physical meaning to data. For example, complex numbers are only required for quantum physics[1]. That implies imaginary numbers are only required to represent the physical meaning of data in quantum physical world.
Relevant lectures
Leonard Susskind in his Oppenheimer Lecture[2] gives a good story about how to assign physical meaning of data that cut across Quantum Mechanics (microscopic phenomenon) and gravity(macroscopic phenomenon).
Historical Document
The first and foremost important document that stated this idea can be associated to Moore's Law[3]. This document is important because it links across socio-technical world, and explicitly stated that the physical size of data has economical and social implications. The other document that also talked about the physical meaning of data is Paul Dirac's book on The Principles of Quantum Mechanics[4].
Hardware Changes
This video[5] explains how to exploit the physical properties of data.
References
- ↑ Hossenfelder, Sabine (Nov 21, 2021). Do Complex Numbers Exist?. local page: Sabine Hossenfelder.
- ↑ Susskind, Leonard (May 12, 2022). THE 2022 OPPENHEIMER LECTURE: THE QUANTUM ORIGINS OF GRAVITY. local page: UC Berkeley Events.
- ↑ Gordon, Moore E. (Apr 19, 1965). Cramming more components onto integrated circuits (PDF). local page: Electronics Magazine.
- ↑ Dirac, Paul (2019). The Principles of Quantum Mechanics. local page: BN Publishing. ISBN 9781562999742.
- ↑ Gallego, Alex (Oct 25, 2021). How Vectorized built a Distributed Data Streaming Architecture for Modern Hardware with Seastar. local page: ScyllaDB.
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