First studies with Quantum Machine Learning at LHCb

The LHCb experiment at CERN recently announced the first proton-proton collisions at a world-record energy with its brand-new detector designed to cope with much more demanding data-taking conditions.

Optimizing SWAP networks for quantum computing

A research partnership at the Advanced Quantum Testbed (AQT) at Lawrence Berkeley National Laboratory (Berkeley Lab) and Chicago-based Super.tech (acquired by ColdQuanta in May 2022) demonstrated how to optimize the execution ...

Team scripts breakthrough quantum algorithm

City College of New York physicist Pouyan Ghaemi and his research team are claiming significant progress in using quantum computers to study and predict how the state of a large number of interacting quantum particles evolves ...

Collaborators observe quantum speed-up in optimization problems

A collaboration between Harvard University with scientists at QuEra Computing, MIT, University of Innsbruck and other institutions has demonstrated a breakthrough application of neutral-atom quantum processors to solve problems ...

Team simulates collider physics on quantum computer

Lawrence Berkeley National Laboratory physicists Christian Bauer, Marat Freytsis and Benjamin Nachman have leveraged an IBM Q quantum computer through the Oak Ridge Leadership Computing Facility's Quantum Computing User Program ...

Exact simulations of environmental influences on quantum systems

Today, quantum systems are becoming increasingly important for technological innovations in information processing, cryptography, photonics, spintronics, and high-performance computing. They are in constant interaction with ...

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