Understanding the quantum universe is not an easy thing. Intuitive notions of space and time break down in the tiny realm of subatomic physics, allowing for behavior that seems, to our macro ...

The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...

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

This illustration draws a parallel between quantum state tomography and natural language modeling. In quantum tomography, structured measurements yield probability outcomes that are aggregated to ...

All realistic quantum systems interact with their environments and thereby must be considered as open quantum systems. When a quantum system is strongly coupled to its environment, the so-called ...

Ramin Ayanzadeh joined CU Boulder’s Department of Computer Science as an assistant professor in the fall of 2024. His research focuses on trustworthy quantum computing to enhance the reliability and ...

Physicists have done a remarkable job explaining the chaos of the universe with well-behaved equations, but certain situations remain mysterious. Among these are collections of many tiny particles — ...