What will it mean to create a new kind of intelligence – one that relies on quantum superposition and entanglement – which can discover patterns beyond the reach of classical logic? What unique approach will an intelligent quantum system take to problem-solving? Which currently intractable challenges in science, technology, and human society might suddenly become accessible?
How will we harness these systems to realize quantum advantage in practical applications? Follow us in this blog series as we set out to build quantum intelligence — we will discuss its theoretical foundations, its extraordinary potential, and the sometimes winding road that leads from today’s quantum devices to tomorrow’s quantum AI.
Machine learning has made real inroads in cancer detection, diagnosis, and treatment, but cancer is a formidably complex disease, and that complexity pushes traditional models to their limits. Cancer involves a huge number of interacting biological variables: genetic...
When Quantum Machine Learning Fails Before the Quantum Circuit Even Starts Quantum machine learning (QML) research often emphasizes quantum circuit design, entanglement, and the scaling of available qubits. However, an important challenge appears much earlier in the...
Machine learning has emerged as a powerful tool for analyzing complex datasets across diverse fields. By learning patterns directly from data, machine learning can uncover relationships and make predictions that are difficult to capture using traditional statistical...
What if you could examine a dataset and quickly calculate how many qubits you’d need to model it on a quantum computer? For quantum machine learning, that kind of clarity has been missing. And as a result, researchers and companies have been left guessing about when...
In this post, we will walk through this recent paper that outlines a strategy for training large quantum models for the problem of classification. In this problem, we are given a labeled dataset — for example, images of handwritten digits where each image is paired...