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BioMathematica
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  • Vibrational Groups
  • Molecular Lie Groups
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  • Finite State Cancer
  • Biomatics and Physics
  • The future of Biomatics

Principia
BioMathematica
(Biomatics)

Principia BioMathematica (Biomatics)Principia BioMathematica (Biomatics)Principia BioMathematica (Biomatics)
  • Home
  • The Aha! Moment
  • Biomatics
  • Biomatics 101
  • Smart Molecules
  • Molecular Robotics
  • Molecular Vibrations
  • Molecules Doing Math
  • Numerical Methods
  • Orthonormal Bases
  • Series Methods
  • Vibrational Groups
  • Molecular Lie Groups
  • Biomatic Number Theory
  • Molecular Programming 101
  • The Amino Acid Code
  • The Histone Code
  • Microtubular Computation
  • Biomatic Engineering
  • Quantum Computation
  • Carbon Based Life Forms
  • Gallery
  • Artificial Intelligence
  • Medical Biomatics
  • Finite State Cancer
  • Biomatics and Physics
  • The future of Biomatics

Biomatics and Quantum Computing

Biomatic Entanglement Theory

  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.

Hierarchical Sequential Quantum Structures

Using chains of carbon atoms i.e. molecules, as the guiding model. At least one possible theoretical way that information could flow in such a system is to fix the first covalent bond in the chain, at the origin. This entire website is based on an exploration of this "universe" of possible molecular programs.


By fixing the first bond there is a hierarchical structure created. The first bond will always travel in the same circular (ring, field, group) spatial subset, a circle. The next bond will in similar fashion travel along this circular domain, in some programmed fashion etc. leading to increasingly complex (dimensional in some sense) structures. The many images in this web site are the output of such Quantum(?) computations.



Video

Check out this great video

Video

The hierarchical nature of molecular vibrations

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