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Quantum Machine Learning is future of tech in NJ

By Ananya Balaji, 2022 Governor's STEM Scholars

Today’s digital world puts an emphasis on performing calculations to reap many positive impacts on society. Quantum Machine Learning (QML) is a field that perfectly accomplishes this by enabling advances in programming computer science to help a machine learn, solve, and replicate human behavior. Developing a future workforce that is ready to take part in QML is critical to support the necessary advances in innovation.

The quantum aspect of QML is accomplished through a combination of chemistry and physics. Molecules interact with each other through their subatomic particles, which we know as protons, neutrons, and electrons. They act as the glue that connects groups of molecules.

One of the most well-known quantum theories is the ‘String Theory’, which was studied by Albert Einstein during his time at the Institute for Advanced Study in Princeton, New Jersey. This theory pictures the protons and electrons of one molecule as being connected to that of another molecule by a string. The movements of one molecule are paralleled and copied by the other molecule. What makes this even crazier is how this “copycat” nature of the molecules occurs at the same time, as well as over extremely large distances–interactions with a reaction time much faster than even the speed of light.

By manipulating these kinds of interactions, we can recreate the networks within a computer and significantly speed up a lot of the algorithms that are used by machines to simplify day-to-day tasks, while also resulting in greater precision.

The possibilities of QML are endless. Not only could they apply to computer scientists, but they may also bring a new perspective to how medical researchers develop life-saving drugs, environmental agencies develop more efficient clean-up technologies, and more. Private sector companies, like IBM which has offices