Information processing involves the manipulation of data through operations like storage, retrieval, and erasure.Information processing is the systematic manipulation of data—storing, retrieving, transforming, and erasing it—to produce meaningful results. In physics, information is not an abstract concept but a physical quantity: any manipulation of information requires energy and produces entropy, as formalized by Landauer's principle. This principle states that erasing one bit of information necessarily dissipates at least kT ln 2 of heat, linking information theory directly to thermodynamics.
The modern theory of information was founded by Claude Shannon in 1948, who defined information in terms of entropy. Rolf Landauer in 1961 established the physical cost of erasing information, and Charles Bennett later showed that computation can, in principle, be done without energy dissipation if no information is erased.
Information is always embodied in a physical system—whether in the magnetization of a hard drive, the firing of neurons, or the quantum state of an atom. Processing involves changing these physical states. For example, a logic gate in a computer changes electrical voltages, while a neuron changes its membrane potential. The key constraint is that information is never free: it costs energy to write, and erasure generates heat. In quantum systems, information processing follows the rules of quantum mechanics, allowing for superposition and entanglement, which enables fundamentally different computational capabilities.
Information processing underpins all modern computing, from classical microprocessors to quantum computers, and is also used to model neural activity in the brain, data compression, and error correction in communication systems.
The human brain, which performs roughly 10^15 operations per second, consumes about 20 watts of power—far more efficient than any supercomputer, which would need megawatts to match it.






