- Quantum computers will help the chemical industry discover new fertilizer production chemicals to replace the 100-year-old process and reduce CO2 emissions.
- Experts told the expert group that new quantum chemicals used in synthetic fertilizers will reduce global natural gas consumption by 5% to 5% and reduce CO2 emissions.
- Classical computer modeling cannot develop energy-saving catalysts with huge CO2 reduction potential, but currently available quantum machines may succeed.
An expert told the technical team last month that within the next decade, quantum computers will help create the chemicals needed to make efficient fertilizers and significantly reduce carbon emissions.
Jean Francois Bobbier, a partner at the Boston Consulting Group, said in a speech during the conference that quantum computers may produce molecules that can replace chemical catalysts needed for fertilizer production. Digital Week of Quantum Technology Online meeting. Bobby said that these catalysts consume 3%-5% of global natural gas and cost nearly 300 billion US dollars annually, accounting for 2% of the global annual carbon dioxide emissions.
“This is a very frustrating problem because we know there is a better way,” said Bobby, the head of quantum computing and technology research and development programs at Boston Consulting Group. “Nature can use water, air and sunlight for free to do this. It’s just that we can replicate it on a large scale in a factory environment.”
Today’s traditional computers process information in bits or zeros, one and one, and it takes more than 800,000 years to model the molecules that replace these chemicals. It may take a day for a quantum computer to process the superposition of qubit information or basis vectors, Bobir estimate.
Bobier said that we have mastered the first batch of alternatives to chemical fertilizers or catalysts based on quantum computers. Although they will not achieve carbon neutrality, their carbon efficiency will be higher than the 100-year-old catalyst used today.
Quantum computers have the potential to solve carbon storage, carbon capture, and energy production issues, which will help prevent the CO2 emission tide needed to achieve the Paris Agreement’s goal of limiting global warming to below 2°C.
Quantum computers do not yet exist. Despite this, Google’s quantum computer solved the mathematical problem within 3 minutes last year. The tech giant claims it will take the best supercomputer in 10,000 years to solve.
Google’s quantum computer has 54 qubits. Although powerful, this is far from the millions of qubits required to operate a general-purpose quantum computer, it has the potential to model the world in the way envisioned by Nobel Prize winner scientist Richard Feynman .
These early quantum computers may be sufficient to simulate smaller and less complex molecules, such as catalysts.
“The catalyst is a small molecule, up to 250 atoms,” Bobbier said. “That will be within the grasp of the qubits we will have.”
Large companies are noticing these first batches of sub-machines-developed by Google, IBM, Canadian startup D-Wave, etc., which may have sufficient capacity to provide advantages in developing climate-resistant technologies.
Fertilizer and chemical giant BASF (BASF) collaborated with quantum software consultant HQS to explore algorithms that solve complex problems that may eventually run on quantum computers. Aerospace giant Airbus, auto company Volkswagen and chemical company Evonik are also exploring the use of quantum computer algorithms when hardware is available.
Bobier said: “Yes, it will be a long time, yes, we will have to wait patiently for use cases, but we need to be prepared immediately.”
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