Energy 102
https://en.wikipedia.org/wiki/Wassily_Kandinsky. 1929 work called Inner Aliance, currently on display at the Albertina Museum in Vienna

Energy 102

From "Energy 101":

Day to Day, the most difficult problem we are solving is "Assist the integration of multitudes of energy into a cost-effective source of power for the planet as a whole."

There are a multitude of energies, for this paper, I am only focusing on four: Carbon, Water, Solar and Wind.

The culture we live in uses 99% of the energy we find in tangible (chemical) forms of energy. This means all the plastics, food, fuel and lights require tangible energy. We have a way to "power" (move gears forward) by pushing on the gear with water (hydro energy) with solar (heat energy) with wind (pressure energy). As these are excellent factors in making gears move, it is ineffective to use anything other than carbon to form carbon-based products (plastics, etc.).

You'd think we'd have more knowledge to pull from 6,000 years of recorded history on this topic. I've spent years at the library combing through literature on where energy comes from, how to properly store it and how to value energy in today's market. I began to see the finance markets, operational energy expertise and world events in terms explained from the smartest people I know. I began to understand the problem through an educated light. Through engineering, mathematics and physics parameters, I have come to realize that the energy is available to solve the problem, however, the infrastructure to get energy, from where it is currently stored, into the cities we inhabit, will take a monumental investment.?

Energy 102

All problems can be solved with technology, and the most beautiful part of being alive in 2022 is that we are making huge advancements in the field of quantum computing.

Think of quantum computing in the same way you would think of how to deliver a piece of information from one side of the world to the other, in 1492. Although - at the time - the "fastest ships" and "most skilled sailors" got the information from point A to point B, we have found a new, inventive way to transmit information from one place to another much faster (and with the original message, safely untampered with). Quantum computing will allow us to find answers to questions faster, because, as many of you know - there are places where knowledge exists; quantum computing allows for a non-bias, culturally neutral, safe digital dimension where knowledge is freely shared, and questions are answered. All equations are built to solve a specific problem, and quantum mechanics is a machine learning optimization tool that takes multiple equations from subsects of different studies (i.e., mathematics and physics, chemistry, etc.) and creates formulas for each specific task to be done in optimal time. Tasks that are complex take more time than those with single steps or single data metrics.

Quantum computing will start to answer questions through the transfer of the equational solutions presented in different fields of study. A quantum computer is a polymath datacenter (applying solutions with equational problems).

Day to Day, the most difficult problem we are solving is "Assist the integration of multitudes of energy into a cost-effective source of power for the planet as a whole."        

When questions are specific, and have clear parameters, the quantum computing works faster than anything we've ever seen before. Questions that would take 10,000 years of human decision making can happen in seconds, because the quantum pathway can show all of the "what if" questions that are associated with "decision-regret" - the feeling of not knowing what would have happened if you had made a different decision. There is no regret, because the equation is solved.

If you'd like to check different pathways of "what if", the computer can show the algorithmic analysis of the decision tree; quantum theory is "without regret" because all paths are analytically known and mapped based on the collaboration of a multitude of metric data points, enhanced into a quantum equation to answer the question "how can I".

For example, we have built the equations we use in the Helix through years of field testing, surveying, meeting geologists and engineers to discuss their equations, understanding the physics; the chemical makeup of the subsurface geography, the engineering values to extract profitably in the future, our clients' optimal rate of return and the future value metrics of financial investments from both banking and private investment groups.

Through quantum computing each of those datapoints can be quantified into 'the language of all subsections of energy asset purchases and sales' and will multiply exponentially based on each subsurface geographic area and fiscal parameters of each person. Quantum computing answers the questions on how to operationally optimize each step, now that we know that the energy is available (see Energy 101). In the world of quantum computing, we asked "how can I buy energy assets" - and used the metrics above to answer the question.

Think of quantum mechanics in the form of sentence structure, and how different languages construct sentences - a concept can appear anywhere within the communication, spoken in multiple ways to convey the same message. Quantum mechanics is the associated answer for each correlating datapoint within the system and the application and forward progression of success. In laments terms, quantum mechanics takes our answer to "how do I buy energy assets" and copies the metric to the asset resulting in a specific answer: "pay $15,000,000" and the notates the probability of success: "(99%)" with an attached report of logic-based solutions derived from the data.

As you can see, the ability to find energy is not the issue; the ability to get the energy to market cost effectively needs investment, with infrastructure development (101) and quantum development (102).

Each week I will post about "Energy For Everyone" by continuing the topic of "Energy 101" as multiple posts.

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