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How to build a high-efficiency commercial ion trap quantum computer? In the "NExT Forum" held by Hon Hai Research Institute on December 12, Patty Lee, chief scientist of Quantinuum, was invited to share the discoveries and achievements of Hanwei in ion trap quantum computers. Patty received his Ph.D. in Physics from the University of Michigan, Ann Arbor, where he developed phase control techniques for quantum logic gates in ion traps. Prior to joining Hanwei United, she worked as a research scientist at the National Institute of Standards and Technology, the U.S. Army Research Laboratory, and Lockheed Martin. After joining Hanwei United in 2016, he focused on researching the quantum charge-coupled device (QCCD) architecture of the ion trap quantum computer. Why choose ion trap qubits? Quantinuum's H-series ion trap is based on the QCCD architecture, which is characterized by multiple regions on the ion trap device, which can move ions to different regions to perform quantum operations. The advantage is that the ion chain can be kept short and the processing is not too complicated. High-fidelity gaits are maintained with very low crosstalk even as the number of ions in the system increases. Patty Lee said that the choice to use ion trap qubits (trapped ion qubits) is to achieve the highest performance of the quantum computer. The ion trap qubit not only satisfies the DiVincenzo's criteria, which is a necessary condition for constructing a quantum computer, it is a necessary condition for constructing a quantum computer. state initialization to a simple reference state, with long coherence times, a general set of quantum gates, and the ability to measure specific qubits), while compared to other qubits in terms of fidelity and inter-qubit connectivity performance outstanding. In addition, the system also has some special functions, such as the ability to perform quantum operations with conditions, and to execute specific quantum logic gates and reset specific qubits according to the measurement results in the middle of quantum calculations. Patty explained that these features allow users to perform more efficient quantum simulations or repeat quantum error corrections. In terms of ion selection, Quantinuum uses ytterbium 171 ions for quantum computing, and at the same time cooperates with barium 138 ions for collaborative cooling, which can simultaneously cool the system without destroying the quantum state of ytterbium 171 ions. Actively cooperate with different companies to let quantum computers solve problems In terms of software, Quantinuum provides a hardware-independent quantum computing development kit developed by Cambridge Quantum. Users can write quantum programs through it without having to understand hardware, and automatically translate and optimize them into programs corresponding to various quantum computers. , and can be executed on quantum computers provided by companies including Google, IBM, IonQ, Quantinuum, etc. Quantinuum is also actively cooperating with various companies to use quantum computers to solve problems. For example, DHL and Cambridge Quantum cooperate to use the VQE algorithm (variational quantum eigensolver) to optimize the packaging process: find boxes of different weights and sizes, and put them into the smallest number of large boxes In the method, such a problem is known as the Knapsack problem (Knapsack problem), and the team's quantum computer can be used to find the optimal solution.
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