Virtual
neuropedagogical
incubator
build smart quantum ecological startups
A new level of carbon managers training
Investment in profitable production of CO2 based materials
Billions and decarbonization
During the organization of industrial decarbonization, enterprises face problems of return on investment and financing of such tasks as modernization of equipment, personnel training, organization of CO2 capture and conversion.
polaritonic chemistry, quantum mathematics, neuromorphic neural networks, smart raw materials
Neuromathematical innovations for quantum decarbonization
solves 3 main tasks
intellectual training of AI-specialists in quantum decarbonization and polaritonic chemistry
design of technological processes for the development of quantum materials from CO2
optimization of NP-hard calculations for equipment management and reduction of CO2 emissions
Your new knowledge
Training of engineers for quantum decarbonization
Solve tasks with new specialists to get an increase in the profitability of CO2 conversion from 55%
Conversion of CO2 into quantum and nanomaterials,
Optimization of production equipment
Neuroeducational technologies for
training carbon managers
We're using heart rate data for our neuropedagogy tasks without any neural interfaces. Learning can became faster in 4 times.
Individualized learning,
Rapid mastering of the material,
Personnel education and training
2D nanomaterials production management
State-of-art neural networks to develop new 2D nanomaterials faster in 100 times based on quantum computing technologies.
Graphene,
Carbon nanotubes,
Reduced graphene oxide,
Graphene oxide
Building an ecosystem of quantum
startups for industrial enterprises
Ecosystem of startups to effectively manage innovations and open more then 5 new highly profitable business areas.
Quantum materials,
Polaritonic computing,
Spintronics,
and others
Polaritonic chemistry and quantum materials
Create and manipulate polaritons in nanomaterials - 30 times faster with polaritonic chemistry.
Quantum math
Harness the power of Riemann's non-commutative quantum geometry to solve the most important quantum computing challenges:
Classical XY-model,
Feynman integral calculation,
Ising model Hamiltonian calculation
and 30+ others
Innovative technologies for CO2 conversion
Use the potential of the latest CO2 conversion technologies to achieve energy efficiency >80%
Polaritonic chemistry,
Plasma technologies,
CVD technologies
Neuromorphic neural networks for
industrial production processes
Use deep learning advantages to reach 98% predictive performance for the following directions:
Solving NP-hard tasks, Quantum Machine Learning for Equipment Control, Smat Manufacturing Execution System, Artificial Intelligence for Industrial Internet of Things
Your royal profit with quantularis
Take it to the next level
Investing in personnel & science - is an investment in the future of your business
Training of Deep Learning engineers in Quantum Decarbonization opens up opportunities for creating new innovative business lines.
Smart Liquid Light
for your company
New approach - based on neuropedagogical technologies
Deep Learning for Industrial Quantum Decarbonization
This course is designed for 1560 hours of study (over 2 years) and corresponds to the master's level. Get basic background for intellectual manufacturing execution systems management in 3 calendar months.