Qilimanjaro Quantum Tech today announced the release of EduQit, a modular quantum computing kit designed to enable - Read ...

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 ...

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 ...

In a major leap toward the future of computing, researchers have shown that even small-scale quantum processors can outperform classical algorithms in machine learning tasks. The finding offers a ...

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 ...

Telstra has completed a trial with Silicon Quantum Computing (SQC) that sought to apply quantum machine learning to boost network automation. The 12-month trial saw the pair leverage Watermelon, SQC’s ...