D-Wave Quantum Inc., a leader in quantum computing systems, software and services, today announced the release of a collection of open-source tools for developers that advance quantum computing ...

Open-source toolkit seamlessly integrates quantum systems into AI model training New open-source ML demo represents a milestone in quantum AI development By releasing this new set of tools, D-Wave ...

There’s no question about it—the race for dominance in the quantum computing industry is heating up. D-Wave Quantum has taken another step to establish itself as a leader by unveiling a collection of ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

A team of researchers has shown that even small-scale quantum computers can enhance machine learning performance, using a novel photonic quantum circuit. Their findings suggest that today s quantum ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

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 ...

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...

Information is the lifeblood of the financial services industry, which means the faster and more accurately players can analyze complex information, the more they stand to gain. That’s why the ...