Beverland Michael E, Haah Jeongwan, Alagic Gorjan, Campbell Gretchen K, Rey Ana Maria, Gorshkov Alexey V
Station Q, Quantum Architectures and Computation Group, Microsoft Research, Redmond, Washington 98052, USA.
Joint Center for Quantum Information and Computer Science, NIST/University of Maryland, College Park, Maryland 20742, USA.
Phys Rev Lett. 2018 Jan 12;120(2):025301. doi: 10.1103/PhysRevLett.120.025301.
We show that Ramsey spectroscopy of fermionic alkaline-earth atoms in a square-well trap provides an efficient and accurate estimate for the eigenspectrum of a density matrix whose n copies are stored in the nuclear spins of n such atoms. This spectrum estimation is enabled by the high symmetry of the interaction Hamiltonian, dictated, in turn, by the decoupling of the nuclear spin from the electrons and by the shape of the square-well trap. Practical performance of this procedure and its potential applications to quantum computing and time keeping with alkaline-earth atoms are discussed.
我们表明,在方阱势阱中对费米子碱土原子进行拉姆齐光谱分析,可为密度矩阵的本征谱提供高效且准确的估计,该密度矩阵的n个副本存储在n个此类原子的核自旋中。这种谱估计是由相互作用哈密顿量的高度对称性实现的,而这种对称性又由核自旋与电子的解耦以及方阱势阱的形状所决定。我们还讨论了该过程的实际性能及其在量子计算和碱土原子计时方面的潜在应用。