Quantum Machine Learning Explained

Quantum computers have the potential to solve certain classes of problems exponentially faster than any known classical techniques. In most cases, the theoretical proofs behind these speedups are decades old, but one exception to that rule is the exciting and highly active field of quantum machine learning (QML). In 2021, IBM researchers proved that quantum kernels can provide an exponential speedup over classical counterparts for certain classification problems. In this video, IBM Quantum developer advocate Abby Mitchell shows how QML methods give classical ML a boost, and explains how developers can start building their very own QML algorithms with Qiskit Runtime.

#software #ITModernization #QuantumComputing #QuantumMachineLearning #QML #MachineLearning #ML

[viddeshk]

Please create an in depth tutorial of quantum machine learning covering all the concept from basic to multi agent reinforcement learning and Deep learning. Thanks always love qiskit 😊

[MikeWiest]

Thank you for this! Exponential speedup is huge. People seem to only talk about Shors' Algorithm and say quantum computing is over-hyped. But exponential advantages in classification speed and memory capacity are huge.

[elkaelka]

either the lady is lefthanded and really gifted (while she is writing everything from right to left) or she is right handed and the video is flipped 180 degrees on the y-axis. That’s all i got from the video! 😊

[KabirrVani]

Quantum machine learning represents the convergence of two cutting-edge fields, offering unprecedented potential for solving complex problems and advancing AI capabilities. By leveraging quantum computing's immense computational power and the principles of quantum mechanics, quantum machine learning algorithms can handle vast datasets, optimize complex functions, and facilitate more accurate predictions. This synergy opens doors to transformative applications in areas like pattern recognition, data analysis, optimization problems, and predictive modeling. As research and development in quantum machine learning progress, we anticipate groundbreaking innovations that will reshape the future of AI and computing.

[Sam-zgvc]

Any other usage of Quantum computing in ML than finding complex kernels? I mean majority problems in current ML are not blocked by lack of suitable kernels.. RBF works pretty well in many cases.

[Officiallordoftheflies]

keep it up watch im going to chase you with quantum machines

[rigasakhairan]

Nice to see this activity and actions Quantum 2022

[mynnacobaalts]

the question is; "what application that is? what kind of industry this study is used?

[tinacole]

Can you drop the Qiskit runtime into your program?

[ronaltonho]

Thanks for sharing thoses great content.

[hrithiklanghi]

do you guys write right to left on the glass or theres some tech going behind that??

[norliegh]

Thought about this idea back in 2021. Nice to see it in action

[Thomas-llim]

Did no one tell you that Synapse is dead?

[XX-vujo]

Everyone explaining stuff in this channel seems nervous and are reading notes hidden from camera LOL! Find real experts to do the discussions, these people does not seem to even understand what they are saying. LOL!