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The Quantum-Mechanical Model of an Atom

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Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra. Schrödinger...

The Role of Ion Channels in Neuronal Computation

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Entropy Change in Reversible Processes

Entropy Change in Reversible Processes

In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
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Information Processing Approach

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Related Experiment Video

Updated: Jun 8, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Nature computes: information processing in quantum dynamical systems.

Karoline Wiesner¹

¹School of Mathematics, Centre for Complexity Sciences, University of Bristol, BS8 1TW Bristol, United Kingdom. k.wiesner@bristol.ac.uk

Chaos (Woodbury, N.Y.)

|October 5, 2010

Summary

This summary is machine-generated.

Nature intrinsically computes, and this study reviews a framework to quantify information processing in quantum systems. We explore intrinsic quantum computation and its bounds for information storage.

Related Experiment Videos

Last Updated: Jun 8, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

Quantum Physics
Information Theory
Dynamical Systems Theory

Background:

The concept of nature as a quantum computer necessitates methods to quantify information processing.
Existing theories lack a unified framework for measuring computation within quantum dynamical systems.

Purpose of the Study:

To review a theoretical framework for quantifying intrinsic information processing in quantum dynamical systems.
To explore the development of this framework and identify open research questions.

Main Methods:

Combines principles from dynamical systems theory, information theory, quantum mechanics, and computation theory.
Reviews the current state of the intrinsic quantum computation framework.
Discusses theoretical bounds for information storage.

Main Results:

The theoretical framework for intrinsic quantum computation is presented.
Key developments and open questions within the framework are highlighted.
Upper and lower bounds for information storage in quantum dynamical systems are discussed.

Conclusions:

A robust theoretical framework exists for quantifying information processing in quantum systems.
Further research is needed to fully develop and apply this framework.
The framework provides tools to investigate the computational nature of the universe.