By the end of IIT Delhi programme, learners develop a comprehensive understanding of quantum optimisation techniques and gain ...

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

Quantum Machine Learning is an interdisciplinary field that harnesses the computational power of quantum systems to develop algorithms that can process and analyze data more efficiently than classical ...

IIT Delhi inaugurates its seventh batch of Certification in Quantum Computing & Machine Learning. This fully online program ...

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 ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

COLLEGE PARK, Md.--(BUSINESS WIRE)--IonQ (NYSE: IONQ), a leader in the quantum computing industry, today announced the launch of its new Faculty & Researcher Learning Series in partnership with South ...

Quantum mechanics. Quantum tunneling, Quantum computing. Quantum biology. The implications of the quantum world are extraordinary — and potentially intimidating to students trying to maintain a good ...

Researchers at Los Alamos National Laboratory today announced a quantum machine learning “proof” they say shows that training a quantum neural network requires only a small amount of data, “(upending) ...

Quantum thermal machines are devices that leverage quantum mechanical effects to convert energy into useful work or cooling, ...