Classical machine learning (ML) is a powerful subset of artificial intelligence. Machine learning has advanced from simple pattern recognition in the

A Quantum Leap In AI: IonQ Aims To Create Quantum Machine Learning Models At The Level Of General Human Intelligence

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2023-06-03 08:00:02

Classical machine learning (ML) is a powerful subset of artificial intelligence. Machine learning has advanced from simple pattern recognition in the 1960s to today's advanced use of massive datasets for training and the generation of highly accurate predictions.

Meanwhile, between 2010 and 2020, global data usage increased from 1.2 trillion gigabytes to almost 60 trillion gigabytes. At some point, quantum systems will more easily handle the ongoing exponential growth in data compared to classical computers, which may struggle to keep up. Theoretically, at some point in the not-too-distant future, only quantum computers can handle such massive scale and complexity. Applying this same insight to the realm of ML, it only makes sense that at some point, the real breakthroughs will be coming from quantum machine learning (QML) rather than classical approaches.

Although other quantum computing companies are exploring QML, there are several reasons I have focused on advanced QML research being done at IonQ ($IONQ).