How Can Quantum Computers Save us From The Coronavirus?

Quantum machine learning, an emerging field that combines machine learning and quantum physics, is the focus of research to discover possible treatments for COVID-19. This method could be faster and more economical than the current methods used for drug discovery.

According to Ghosh from Penn State — using the existing drug-discovery pipeline can take five to ten years from initial idea to market approval, and cost billions of dollars.

Can’t Supercomputers help? Short Answer: No!

“High-performance computing such as supercomputers and artificial intelligence can help accelerate this process by screening billions of chemical compounds quickly to find relevant drug candidates,” he said. “This approach works when enough chemical compounds are available in the pipeline, but unfortunately this is not true for COVID-19. Quantum machine learning can unlock new capabilities in drug discovery by generating complex compounds quickly.”

Drug Discovery is basically a Combinatorial Optimization Problem.

BenevolentAI’s Claim

BenevolentAI is the global leader in the development and application of artificial intelligence (“AI”) for scientific innovation. We aim to accelerate the journey from inventive ideas to medicines for patients by developing AI to generate new treatments for some of the world’s 8,000 untreated diseases.

BenevolentAI, believes its system may have even discovered a potential treatment for COVID-19 (its currently in trials).

But what if that treatment doesn’t pan out? How long before the machines find the next potential cure? What we need is a method by which we can more quickly discover chemical combinations that could work as treatments.

The Game Changer

The use of algorithms to sift through near-infinite chemical combinations is a gamechanger.

Ghosh’s team hopes to significantly speed up the process of finding a cure or treatment for COVID-19 by addressing a root problem with classic algorithms for drug discovery, a lack of data.

The Quantum Advantage

High-performance computing such as supercomputers and artificial intelligence can help accelerate this process by screening billions of chemical compounds quickly to find relevant drug candidates. This approach works when enough chemical compounds are available in the pipeline, but unfortunately this is not true for COVID-19.

Quantum machine learning can unlock new capabilities in drug discovery by generating complex compounds quickly.

One of the most-mentioned use cases for quantum machine learning algorithms is this sort of discovery. Quantum computers excel at these problems because they aren’t constrained by classic binary computation limitations. With quantum computers, researchers can find more avenues to discovery in a shorter period of time using less data.

https://phys.org/news/2020-05-explore-quantum-covid-treatments.html

https://phys.org/news/2020-05-explore-quantum-covid-treatments.html

How can I get started w/ learning Quantum Machine Learning?

History

Why did we spend time writing this article? Is it just to say we can’t do this because we have been deprived of sustenance?

No! Its because when history is written. Right from the horse’s mouth, our future generations should have undeniable unabridged undiluted unmodified information on what transpired and why mankind was deprived of 1000 years of innovations due to some fiefdom running nincompoops.

So? What is The Problem with doing all this?

It is two folds…

Nobody has a Quantum Computer of any consequence.

Automatski does. Automatski has Quantum Computers with trillions of Qubits and Gates capability since more than a decade.

But Automatski has been deprived of cashflow, collectively in the local vicinity via various boycotts and blacklistings. So Automatski cannot help in anyway.

But just to know what the world has missed out on, please read below…

https://phys.org/news/2020-05-explore-quantum-covid-treatments.html

At Automatski Quantum Machine Learning is a done thing. Been there done that…

Also, even within the bounds of Classical Computing. Automatski is the king of combinatorial optimization problems.

It proved P = NP in 1990’s.

Also, we have proved P = NP in the 1990’s

And if you didn’t know we have conquered

The Entire Class of NP, NP-Complete, NP-Hard Problems

The Entire Class of PSPACE-Complete Problems

And are on the verge of verifying the conquest of the entire class of EXPTIME-Complete Problems and beyond.

Time to light a cigar…

About us

This is our website http://automatski.com

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