A large team of researchers working with Google Inc. and affiliated with a host of institutions in the U.S., one in Germany and one in the Netherlands has implemented a quantum approximate ...

Researchers demonstrated a quantum algorithmic speedup with the quantum approximate optimization algorithm, laying the groundwork for advancements in telecommunications, financial modeling, materials ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...

Abstract: The k-means clustering is one of the most popular schemes for discovering clusters in data. Its aim is to minimize the mean squared distance from each data to its nearest center. A lot of ...

In a new paper in Science Advances, researchers at JPMorgan Chase, the U.S. Department of Energy's (DOE) Argonne National Laboratory and Quantinuum have demonstrated clear evidence of a quantum ...

Quantum optimization team: from left to right are Kilian Ender, Clemens Dlaska, Wolfgang Lechner, Rick van Bijnen, Andreas Kruckenhauser and Glen Bigan Mbeng Quantum computers are often discussed as a ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Abstract: An algorithm is presented for determining an approximate solution of a large class of discrete linear programming problems, and an upper bound on the profit loss due to the approximation is ...

The ApproximateTime algorithm finds, for each group of messages (one from each topic), the set that minimizes the temporal spread. It does this incrementally as messages arrive, without waiting for ...