Quantum computers are expected to advance nuclear fusion power generation by 20 years

Kronos fusion energy algorithm company, located in California, USA, has developed breakthrough algorithms and simulations on quantum computers using technologies such as artificial intelligence, machine learning, blockchain and neural network, which will enable the world's most efficient fusion energy power plant to be built 20 years ahead of schedule, 40% efficiency (Q40 mechanical gain) of commercial fusion energy power plant is realized by Kronos fusion energy algorithm.


On January 10, Kronos fusion energy algorithms LLC (kfea-q40) and mathlabs ventures announced today that after 60 years of global research, the fusion energy industry is now poised to accelerate their growth rapidly to build commercially viable power plants 20 years earlier than planned because of three recent major advances in technology The three major problems with reaching commercial success in Fusion Energy have recently been overcome with these three new technological advancements that together will make it possible to build efficient Fusion Energy Power Plants on Earth by the mid-2030s. 


These innovations, ongoing contracts & patents put KFEA's current valuation at $530m with $1.2B in projected earnings over the next 2 years.


"We at Kronos are building a world-class team of mathematicians, physicists, scientists and other professionals whose mission is to reverse global warming by helping to make  Fusion Energy commercially viable in the near future," said Michael Pierce Hoban, the CEO of Kronos Fusion Energy Algorithms



Recreating the power of the sun on earth in a controlled manner takes computing power, machine learning, artificial intelligence, blockchain, quantum computers, neural networks, and other technological advances that were not even dreamed of 60 years ago when Fusion Energy research began globally.  But now, with these three technological breakthroughs, the global competition to design the next-generation Fusion Energy Power Plants that are more efficient than today's carbon-burning power plants is underway in full swing.


The first technological barrier that was overcome is that the computing power now exists to model the sun in simulations more accurately with the launch of the Summit Supercomputer in Oak Ridge that set the world record in 2018, and in June 2021, Japan's Fugaka Supercomputer set a new world record of 422 petaflops.


The second technological barrier that was overcome in September 2021 was the announcement of the most powerful magnet ever created on earth.  This is the first magnet with enough power capable of containing a fast-moving plasma field at heats in excess of 150M degrees Celsius without touching and melting the containment barrier.


The third technological barrier that has been the most difficult to overcome is the 1% efficiency rate (Q1 Mechanical Gain) of the top fusion energy demo reactors on earth today.  The first two breakthroughs will enable the world's top Fusion energy designers to reach a 25% efficiency rate (Q25 Mechanical Gain) by 2050.  This has been a major technological barrier because there has been no fusion energy reactor solution that has been proposed in the world that exceeds 25% efficiency until now.


Kronos Fusion Energy Algorithms LLC announced that after five years studying the global research in Fusion Energy,  we have developed advanced algorithms and simulations to achieve a 40% efficiency rate (Q40 Mechanical Gain) for Commercial Fusion Energy Power Plants that will enable a 20-year advancement in the launch dates of the world's first Fusion Energy Power Plants that are more efficient than today's carbon burning power plants. 


Their algorithms and simulations use artificial intelligence, machine learning, neural networks, blockchains, quantum computing and other advanced technologies to reduce the error rate of fusion energy reactors from 15% of the current ITER in France to 1%.


Compared with the existing power generation technology, nuclear fusion power generation can be said to be the ultimate dream of mankind to solve the energy crisis. Once the technical problems are solved, a continuous power supply can be obtained.


For nuclear fusion power generation, breakthroughs have been made in technical issues. Many countries, including China, have achieved controlled nuclear fusion power generation, but the core problem now is that the energy used to trigger nuclear fusion is higher than the generated energy, so there is no commercial feasibility.


However, in December 2021, American CFS companies invested by Bill Gates, Google and others began to build nuclear fusion power plants, which are expected to generate commercial power in 2025. CFS (common wealth fusion systems) is an energy company aiming at commercial nuclear fusion in the United States. It was founded by MIT. The company has raised US $1.8 billion and plans to build a fusion reactor SPARC in the United States. It is expected to realize commercial nuclear fusion power generation in 2025.


If SPARC nuclear fusion reactor can successfully generate electricity commercially in 2025, CFS plans to build 10000 200 MW nuclear fusion power plants around the world, which is enough to replace almost all fossil energy power plants.

link:[1]https://www.globenewswire.com/news-release/2022/01/10/2364338/0/en/A-Machine-Learning-Company-in-California-Using-Quantum-Computers-at-Mathlabs-Ventures-is-Building-the-First-Q40-ME-Fusion-Energy-Generator-Using-Advanced-AI-Neural-Networks.html
         [2]https://cfs.energy/news-and-media/commonwealth-fusion-systems-closes-1-8-billion-series-b-round
2022-01-11