{"id":815,"date":"2026-06-08T02:29:14","date_gmt":"2026-06-08T06:29:14","guid":{"rendered":""},"modified":"2026-06-08T02:29:14","modified_gmt":"2026-06-08T06:29:14","slug":"dna-electron-clouds?","status":"publish","type":"post","link":"https:\/\/c2creset.ondigit.us\/?p=815","title":{"rendered":"DNA Electron Clouds?"},"content":{"rendered":"

DNA Electron Clouds?<\/strong><\/span><\/span><\/span><\/p>\n

DNA stores and replicates information<\/span><\/span><\/em><\/strong>. The very specific sequence of the 4 nucleic acids (Adenine, Cytosine, Guanine, Thymine) encodes the human’s blueprint. These acids can be divided into a classical (biological) part (the atom) and a quantum part (electron shells\/clouds and single protons). <\/span><\/span><\/p>\n

In classical coding, each base twin contains 2 nucleic acids<\/span><\/a>, represented by a letter (A,T,C, or G) and called a ‘bit’. <\/span><\/span><\/p>\n

In quantum coding the classical information (A,C,G,T series) is mapped onto the configuration of electrons and position of single protons: the quantum information<\/em><\/strong>. Thus, biological information is embedded in the quantum information cloud.
\n<\/span><\/span><\/p>\n

The biological part stores information reliably and allows copying, but limits its manipulation. Quantum information is decoherent, but allows more ways to manipulate it.<\/span><\/span><\/p>\n

\"\"<\/p>\n

From a linear 1D classical-biological replication process
\nto a 3D specifically-folded-protein synthesis<\/span><\/span><\/strong><\/span><\/p>\n

Although correct DNA replication requires perfect copies of this biological information, the atom’s protons+shell combo that constitutes this information does not directly interact with this copying mechanism. In Q-replication the quantum degrees of free electrons and protons are measured. <\/span><\/span><\/p>\n

Thus successful copying requires a correct translation of classical (bit) to quantum (qubit) to classical information. Since the movements of electrons are well shielded from thermal noise, entanglement occurs inside the DNA helix, which may influence the genetic information processing<\/span><\/a>.
\n<\/span><\/span><\/p>\n

This ‘bit’ information cannot be accessed<\/strong> from the sugar-phosphate side, nor from above or below, thus only via the electrons of the base’s unstable H-bonds that connect the twin bases. Its proton+electrons are then replaced by an electron from the adjacent atom of its twin base. <\/span><\/span><\/p>\n

\"\"<\/span><\/span><\/p>\n

In classical coding, the information (bits) comes from:<\/span><\/span><\/p>\n

    \n
  1. the sets of 3 nucleic acids, written as letters and called codons<\/span><\/a>, that are replaced by amino acids, and
    \n <\/span><\/span><\/li>\n
  2. the unique sequence of the ≈ 3.5 Billion nucleic acids in someone’s helical DNA chain. A code that follows the same rules as human languages<\/span><\/a>.
    \n <\/span><\/span><\/li>\n<\/ol>\n

    In quantum mechanics coding, the information<\/span><\/a> (qubits) in each base-twin is accessed via:<\/span><\/span><\/p>\n

      \n
    1. the "tunneling" of one hydrogen proton between them (transverse quantum info-exchange). That is why the A-T and C=G connections<\/span><\/a> are a near perfect lock & key mechanism (proton mutation<\/span><\/a>),<\/span><\/span><\/li>\n
    2. the clouds of electrons that circulate around the various rings of each base-twin rung (longitudinal quantum-info-exchange), have a negative charge, thus repel and excite each other. The sum of these forces (vanderwaals force<\/span><\/a>) lowers the ground state energy, which causes the emission of bio-photons<\/span><\/a>, and leads to entanglement<\/span><\/a> between electrons in different clouds,
      \n <\/span><\/span><\/li>\n
    3. this entanglement<\/span><\/a> means that one cloud’s ‘formation’ is affected by the ‘formation’ in neighboring clouds.<\/span><\/span><\/li>\n<\/ol>\n

      \"\"<\/span><\/span><\/p>\n

      The basic principle in quantum computing is “quantum superposition,”<\/em> the idea that an object simultaneously exists in all states. A classic computer uses binary bits: zeroes and ones. A quantum computer uses quantum bits, or qubits. They are simultaneously<\/em> zero and one.<\/span><\/span><\/p>\n

      A classic computer processes data in sequence. A quantum computer does that in parallel, but <\/span><\/span>the particles making up such encryption-free & code-breaking-safe computers must be fully isolated from its environment, as <\/span><\/span>any interaction changes their super processing power into a game of ‘heads or tails’.<\/span><\/span><\/p>\n

      Paul Dirac postulated every fundamental particle in the universe has an antiparticle — an identical twin, with an opposite charge — and when this pair met they would be annihilated, creating an explosion of energy. Stanford researchers have found ‘angel’ particles that are their own antiparticles – both matter and anti-matter. These once-elusive "Majorana fermions<\/span><\/a>" could one day help make quantum computers more robust.<\/span><\/span><\/p>\n

      The Majorana fermion the teams observed is known as a "chiral" fermion. It moves along a one-dimensional path in one direction.<\/span><\/span><\/p>\n

      The solution is to have only a few quantum computers, stored in special ways and designed to interact with all other conventional computers for combined optimization. D-Wave company built such a computer, after which Google bought it to control its self-driving cars and other technologies.<\/span><\/span><\/p>\n

      Then, after the – December 29, 2024 – five minute benchmark test Google shut its Q-computer, named Willow, down, because the system was correcting itself faster than it produces data. Google’s quantum computer\/chip Willow appeared to have been using info from multiple parallel universes simultaneously to perform its calculations, due to its quantum state, because there is not enough computational space in our current reality to process info that fast.<\/span><\/span><\/p>\n

      Google’s quantum chip didn’t appear overnight. It emerged from nearly two decades of relentless engineering, theoretical breakthroughs, and billions of dollars invested in one of humanity’s most ambitious technological pursuits.<\/span><\/span><\/p>\n