Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning ... Quantum algorithms could help handle complex data relationships and ...

Classical AI is not a competitor to quantum; it’s a critical enabling technology for realizing quantum’s potential.

They published their new study in the journal Machine Learning: Science and Technology on December 5, 2024. "By enabling a quantum computer to optimize multiple targets at once, this algorithm ...

People have performed many mathematical proofs to show that a quantum computer will vastly ... many measurements it takes to train a machine-learning algorithm to identify a property of a ...

Enter quantum machine learning (QML). QML combines the power of quantum computing with the predictive capabilities of ML to overcome the limitations of classical algorithms and offer ...

Quantum machine learning algorithms represent an innovative approach that applies the principles of quantum computing to the field of machine learning. By leveraging the unique properties of quantum ...

Additional authors are Salman Shuvo and Sayak Mukherjee, with expertise in machine learning ... way so the quantum computer can understand and interact with it. Our algorithm is a tool for ...

Traditional quantum classifiers can theoretically leverage the advantages of quantum computing to accelerate machine learning tasks ... design and optimization algorithms. In terms of circuit ...

At first glance, calibration may seem like a one-shot problem: You calibrate the processor before you start running the algorithm ... of reinforcement learning. “As quantum computers are scaling ...