We developed the QuTiP software used worldwide for quantum information processing, quantum optics, and quantum open systems. We are also using techniques from AI and Machine Learning to solve ...

Researchers Tomohito Amano and Shinji Tsuneyuki of the University of Tokyo with Tamio Yamazaki of CURIE (JSR-UTokyo ...

Quantum machine learning could enhance the analysis of sparse clinical trial data, allowing researchers to extract valuable insights that might not be discernible using classical computing.

Here, Ryan Samson, Jeffrey Berger, Luca Candelori, Vahagn Kirakosyan, Kharen Musaelian and Dario Villani introduce a novel machine learning approach based on the ideas of quantum cognition, which they ...

To prepare for the influx, Kennesaw State University associate professor Yong Shi, an expert in quantum machine learning (QML ...

Each and every member of the UCSB community has a role to play. At some point, security measures might fail and if they do, ...

The research team, led by Wang Chao from Shanghai University, found that D-Wave’s quantum computers can optimize problem-solving in a way that makes it possible to attack encryption methods such ...

Quantum applications are revolutionizing finance, healthcare, and energy, offering innovative solutions that surpass ...

Instead, experts believe, microtubules perform incredible operations in the quantum realm. Citing the work of earlier researchers, the study infers that the same kind of quantum operations are ...

Second, quantum computers will likely make the biggest impact in the areas of optimization, machine learning and simulation-based solutions. Understanding how to look for applicable use cases is ...