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trapped-ion quantum computers
Trends
- 1Reinforcement learning improves trapped-ion quantum computing control▼Machine learning optimizes trapped-ion quantum computing – Reinforcement learning beats state-of-the-art techniques for
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.
- 2Neutral atoms lead the quantum qubit race, says Hassinger▼Sebastian Hassinger (The New Quantum Era): why neutral atoms lead the qubit race for now
Sebastian Hassinger, host of The New Quantum Era podcast, argues that neutral-atom platforms currently hold the lead among quantum computing qubit technologies. He points to the approach's combination of scalability, long coherence times and flexible connectivity as reasons it is outpacing rival architectures such as superconducting and trapped-ion systems, at least for now.
- 3Innsbruck Team Links Three Quantum Computers in Network▼Quantum Internet Group Innsbruck Network Links Three Trapped-ion Quantum Computers
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.