IBM’s latest trick: Turning noisy quantum bits into machine learning magic
IBM‘s figured out how to ignore noisy qubits and run machine learning algorithms in quantum feature spaces. Eureka-cadabra! The age of quantum algorithms is upon us. A team of IBM researchers created a pair of quantum classification algorithms and then experimentally implemented them on a hybrid system utilizing a 2-qubit quantum computer and a classical superconductor. Basically, they demonstrated that quantum computers can provide advantages in machine learning that classical computers, alone, cannot. According to the researchers’ white paper: Here we propose and experimentally implement two quantum algorithms on a superconducting processor. A key component in both methods is the…
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