IBM simulates chemical reactions using quantum computers


IBM simulates chemical reactions using quantum computers

IBM simulates chemical reactions using quantum computers

The IBM company has unveiled a new approach to simulating molecules using quantum computers. This development could revolutionize materials science and chemistry. IBM said in the journal Nature that this new approach will advance human understanding of complex chemical reactions. This breakthrough could help develop scientific applications such as the creation of new materials, the development of personalized medicine, and the discovery of efficient and sustainable energy sources.

Quantum computing has a lot of room for improvement and hope; Because this new method uses quantum bits or qubits to perform calculations. Unlike ordinary bits, a qubit can be a zero, a one, or both. Using these qubits, devices are able to perform a large number of calculations simultaneously, leading to the construction of a quantum computer with the ability to perform certain processes with very high efficiency. IBM has been researching quantum computing for years, and is now starting to publish reports of its progress.

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IBM scientists have developed an algorithm that uses a 7-qubit quantum processor. In fact, these scientists have used 6 qubits of this processor to measure the lowest energy state of the material beryllium hydride (BeH2). This measurement is a key step in understanding chemical reactions. This is the largest molecule ever simulated on quantum computers. Although the BeH2 model can be simulated on ordinary computers, IBM has stated that by using this approach it is possible to measure the properties of larger molecules that ordinary computers are unable to do.

Dario Gill, research vice president of artificial intelligence and IBM at the IBM Research Center says:

Thanks to Nobel laureate Richard Feynman, the most common thing about Quantum What we know is that quantum has a mechanical nature. This is what our recent research proves. We are able to use quantum computers to increase human knowledge about natural phenomena in the universe. We anticipate that in the next few years, the capacity and capability of IBM systems will exceed today’s conventional computers and will be used as a tool for professionals in fields such as chemistry, biology, health and materials science.

To help illustrate how quantum computers are simulating molecules; IBM developers and users are now able to access the open source site “Jupyter Notebook” in the context are quantum chemistry. Through access to the QISKit open source toolkit github repo, users can perform simulations for small molecules such as hydrogen and lithium hydride. Last year, IBM made the experience of using IBM Q available to the public using a five-bit quantum computer in a cloud environment with free access. By updating the processor and using a 16-bit processor, this company has provided users with the experience of using it in the form of beta access.

Alan Sporo-Guzik, Professor of Chemistry and Biology Harvard University said in a statement:

The IBM team recently He has conducted several experiments and through these experiments he has been able to simulate the largest molecule ever simulated on a quantum computer. While quantum computers are capable of simulating chemicals with precise numerical methods, it is likely to break down when we are correcting errors on large numbers of logical qubits. For exact predictions, molecules should be designed in such a way that they do not require calibration during testing. This work may lead to the discovery of new drugs and small molecules or organic substances.

Chemistry is one example of a wide range of problems. which can be analyzed by quantum computers and with appropriate algorithms. Also, quantum computers can investigate complex optimization methods. They can even work in a branch of machine learning and artificial intelligence based on Optimization algorithms are of great help. Earlier this year, IBM scientists and collaborators demonstrated that there are measurable improvements in deterministic machine learning algorithms on quantum computers.

researching other applications of quantum computers outside of the company’s borders.

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