Ramped fields create more robust entanglement between trapped-ion qubits
While quantum computing could be the future, it is currently plagued by finicky hardware. To make the technology practical, researchers must demonstrate that it consistently and continuously works and performs at scale. In a new study, published in Physical Review Letters, researchers at Lawrence Livermore National Laboratory (LLNL) and the Ion Storage Group at the National Institute of Standards…
A new study published in Physical Review Letters reveals a groundbreaking method for entangling trapped-ion qubits, a critical step towards building practical quantum computers. Researchers at Lawrence Livermore National Laboratory and the National Institute of Standards and Technology achieved this by creating a robust process that links two trapped ions through a physical connection.
These ions, held together by an electric field, naturally vibrate and repel each other, but when manipulated with electromagnetic fields, they can transfer information between each other, a phenomenon known as entanglement. Entanglement is a unique quantum property that enables quantum computers to outperform classical computers by processing information in ways that classical systems cannot.
The key challenge in this process is the "detuning," or the difference between the force applied to the ions and their natural vibration frequency. If this gap is precise, the ions can oscillate in a controlled manner, acquiring a phase shift that encodes the combined quantum state of the two qubits. By adjusting the timing and strength of the electromagnetic force in a specific pattern, researchers were able to create entangled states more reliably.
This technique, known as "ramped detuning," combines near-resonant speed (for faster qubits) with off-resonant tolerance (to withstand fluctuations in the ions' motion), making the process more robust and less sensitive to temperature and calibration errors. The approach not only enhances the performance of individual qubits but also supports the scaling up of quantum computers, bringing us closer to achieving quantum advantage.
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