The research team from the Korea Advanced Institute of Science and Technology (KAIST) have introduced a new method for machine-learning classifications in quantum computing. They proposed a quantum classifier based on quantum state fidelity by
![Scanning electron micrograph of the HOA-2 trap designed and fabricated at Sandia National Laboratories. Figure adapted with permission from [18]. A single trap houses all the ions. Control electrodes are used to load, remove and move ions. This architecture does not scale beyond 50-100 qubits because of gate implementation challenges in long ion chains.](https://swissquantumhub.com/wp-content/uploads/2020/07/Trapped-Ion-technology-Princeton.png)
Researchers at Princeton University and Duke University collaborated to develop methods to design the next generation of quantum computers. Their study focused on QC systems built using Trapped-Ions (TI) technology, which is one of the
Swiss Zurich Instruments joins a new partner network, Chicago Quantum Exchange (CQE), which is a Chicago-based research hub (one of the largest QT research hubs in the USA) with the goal of advancing academic and industrial
