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As quantum computing becomes more prevalent the field of deep learning will take another leap forward which will put those who possess it at an incalculable advantage. Should it become possible to train using large to extremely large data sets in minutes or even possibly in seconds then the reality of quantum computing of deep learning systems will take a revolutionary step forward. Combinations of knowledge could be incorporated almost instantly. This would change the entire complexion of how difficult to intractable problems become soluble.<BR />
{| border="1" cellpadding="5" cellspacing="0" align="right" style="border:1px solid black;"
!style="border:1px solid black;" |[[File:IBMQ2.jpg|right|300px|IBM Quantum System 2]]
!style="border:1px solid black;"|  [[File:BlochSphere00.png|300px|right|Bloch Sphere]]
|- !style="border:1px solid black;"| Cell 1, row 2
!style="border:1px solid black;"| IBM Quantum Team, IBM-QS1
!style="border:1px solid black;"| IBM Quantum System One, row 1
|}
The central problem in recent developments stems from the human inability to process rapid nonlinear change. Change that happens in a relatively linear fashion and at a slow pace enables most people to adapt. However change that happens geometrically as with recent deep learning systems is much more difficult to incorporate.  
The central problem in recent developments stems from the human inability to process rapid nonlinear change. Change that happens in a relatively linear fashion and at a slow pace enables most people to adapt. However change that happens geometrically as with recent deep learning systems is much more difficult to incorporate.  
'''''<SPAN STYLE="COLOR:BLUE">Cognitive prosthetic based quantum systems will completely eclipse current incarnations of all existing CG4 based systems5:</SPAN>''''' Quantum computing devices are already demonstrating their ability to solve problems in seconds or minutes that classical von Neuman computing machines require decades, centuries or even millennia to solve. The departure from classical computing using collections of zero or one binary digits is severely limited when compared to how logic can be represented using quantum bits (qubits). With qubits large numbers of simultaneous true/false states can exist simultaneously. This is inherent within the realities of quantum mechanics. The interested observer is advised to pursue a more in depth study of the subject of quantum mechanics, entanglement, uncertainty, particle/wave duality as well as the other fundamental features that are known to operate at the quantum level.
'''''<SPAN STYLE="COLOR:BLUE">Cognitive prosthetic based quantum systems will completely eclipse current incarnations of all existing CG4 based systems5:</SPAN>''''' Quantum computing devices are already demonstrating their ability to solve problems in seconds or minutes that classical von Neuman computing machines require decades, centuries or even millennia to solve. The departure from classical computing using collections of zero or one binary digits is severely limited when compared to how logic can be represented using quantum bits (qubits). With qubits large numbers of simultaneous true/false states can exist simultaneously. This is inherent within the realities of quantum mechanics. The interested observer is advised to pursue a more in depth study of the subject of quantum mechanics, entanglement, uncertainty, particle/wave duality as well as the other fundamental features that are known to operate at the quantum level.

Latest revision as of 01:10, 10 January 2024

The central problem in recent developments stems from the human inability to process rapid nonlinear change. Change that happens in a relatively linear fashion and at a slow pace enables most people to adapt. However change that happens geometrically as with recent deep learning systems is much more difficult to incorporate. Cognitive prosthetic based quantum systems will completely eclipse current incarnations of all existing CG4 based systems5: Quantum computing devices are already demonstrating their ability to solve problems in seconds or minutes that classical von Neuman computing machines require decades, centuries or even millennia to solve. The departure from classical computing using collections of zero or one binary digits is severely limited when compared to how logic can be represented using quantum bits (qubits). With qubits large numbers of simultaneous true/false states can exist simultaneously. This is inherent within the realities of quantum mechanics. The interested observer is advised to pursue a more in depth study of the subject of quantum mechanics, entanglement, uncertainty, particle/wave duality as well as the other fundamental features that are known to operate at the quantum level.

How might different groups use this new capability Category Risk Type
Innovators vs Laggards Constructive Malicious
Selective Usage Selective Usage Selective Notation
Same Wine New Bottle Selective Usage Recursive Notation
How will they be affected by this new capability Personalized Tutors Interactive Audio Books
Personalized Tutors Highly Individualized Skills Selective Targeting
Interactive Audio Books Novel Capabilities Gray Market
Access modalities advantages/disadvantages Highly Conformal Highly Advantageous

Note that with binary logic there are only two possible definite values possible: zero or one, true or false. With quantum reality there are innumerable states in between that describe what a possible outcome can result in. A brief glance at a Bloch Sphere makes a bit more clear that there are innumerable possible states between zero and one, true or false. These specific states are described by two complex numbers.
Further they are described as residing within a unit sphere. This means that the unit sphere can be rotated on either of either the x-axis or the y-axis. In each case the ultimate value obtained will reside somewhere between zero and one. Recall that in each case the axis along either axis is described as being a complex number.

Bloch Sphere
Binary vs. Quantum Logic
Question Observation
row 1, cell 1 row 1, cell 2
row 2, cell 1 row 2, cell 2