trapped-ion quantum computing

Researchers at the Max Planck Institute for Gravitational Physics report that reinforcement learning outperforms state-of-the-art techniques for shuttling ions in trapped-ion quantum computers. The machine-learning approach optimizes how ions are moved within the hardware, a key bottleneck for scaling quantum computing. The findings are published in Physical Review Research, and physicists online are sharing the result as a notable advance in quantum control methods.

Quantinuum has received a $100 million award under the US CHIPS and Science Act, which funds domestic semiconductor manufacturing and advanced technology projects. The quantum computing firm, known for its trapped-ion systems, is among a range of companies benefiting from federal support to bolster the American chip supply chain and compete with China in next-generation computing technology.

Researchers at the University of Innsbruck's Quantum Internet Group have networked three trapped-ion quantum computers, a step toward a scalable quantum internet. The team announced the milestone through coverage in Quantum Zeitgeist, highlighting entanglement-based links between separate quantum processors.