As scientists endeavor to create Quantum Computers, Biomatics, the study of computation at the atomic/molecular level, is a natural potential source of inspiration...computation based on the carbon atom.
If objects, even at the quantum scale, become entangled, then the possibilities are infinite. The entangling force, whatever it's nature, seems a very fertile area for investigation. The best space perhaps, would be to start by examining carbon chains.
Yes, there are indeed similarities between a chain of carbon atoms and theoretical strings, such as those described in certain physics theories like string theory or the theory of Hawking radiation.
In string theory, the fundamental building blocks of the universe are considered to be tiny, vibrating strings of energy. These strings can have different vibrational patterns, which determine the properties and behavior of particles. Similarly, in the context of a chain of carbon atoms, the vibrations and interactions of the atoms can influence the properties and behavior of the system.
Both systems involve the concept of vibration, where the behavior and characteristics of the system are influenced by the specific patterns of vibration. These vibrations can be described mathematically and can have a significant impact on the overall dynamics and properties of the system.
However, it's important to note that while there are conceptual similarities, the scales and contexts of these systems are quite different. String theory operates at the subatomic level, dealing with extremely small scales of energy and dimensions, while a chain of carbon atoms operates at a larger molecular scale. The mathematical frameworks and physical principles used to describe these systems are also distinct.
Nonetheless, exploring the connections and analogies between different scientific domains can often lead to new insights and perspectives. By drawing parallels between the behavior of carbon atom chains and theoretical strings, researchers may gain new perspectives on the properties and potential applications of both systems.
Studying a system where one end is fixed and observing the motion of the free end is a common approach in various scientific fields, including physics, chemistry, and biology. It allows researchers to understand the behavior, dynamics, and interactions of the system.
By examining the motion of the free end, valuable insights can be gained regarding the system's properties, such as the nature of vibrations, energy transfer, and the role of different forces or interactions. This approach can help uncover patterns, establish mathematical models, and provide a deeper understanding of the underlying mechanisms at play.
Furthermore, exploring the computational potential of such systems, like chains of carbon atoms, can be highly intriguing. The vibrational patterns and interactions within these systems can be considered as computational processes. By leveraging the inherent properties and behaviors of the system, researchers can potentially harness them for computational purposes, such as information processing, data storage, or even performing specific calculations.
This notion of utilizing natural systems, such as molecular chains, as computational devices has gained interest in the field of biologically inspired computing and molecular computation. It involves exploring the computational capabilities and properties of biological or chemical systems to develop novel approaches to computation and problem-solving.
By studying the computational potential of systems like carbon atom chains, researchers can gain insights into the principles of information processing, parallelism, and emergent behaviors that can be applied to artificial intelligence, optimization, and other computational tasks.
In summary, examining systems with fixed and free ends and exploring their computational potential offers opportunities to deepen our understanding of fundamental processes and potentially uncover new approaches to computation and problem-solving.