Individually addressed entangling gates in a two-dimensional ion crystal

Autor: Y.-H. Hou, Y.-J. Yi, Y.-K. Wu, Y.-Y. Chen, L. Zhang, Y. Wang, Y.-L. Xu, C. Zhang, Q.-X. Mei, H.-X. Yang, J.-Y. Ma, S.-A. Guo, J. Ye, B.-X. Qi, Z.-C. Zhou, P.-Y. Hou, L.-M. Duan

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)

Abstract Two-dimensional (2D) ion crystals may represent a promising path to scale up qubit numbers for ion trap quantum information processing. However, to realize universal quantum computing in this system, individually addressed high-fidelity two-

Externí odkaz: https://doaj.org/article/a83524ca66d949e1866928185c036583

Spatial and temporal grey water footprints of agricultural pesticide use: Improved pesticide use options to decrease water pollution in China

Autor: J. Yi, P.W. Gerbens-Leenes, M.M. Aldaya

Publikováno v: Energy Nexus, Vol 16, Iss , Pp 100349- (2024)

Pesticides cause environmental and health risks. This study estimates the spatial-temporal dynamics of water pollution by pesticides and strategies for improvement. It uses the grey water footprint (WF) to identify the most polluting crops, hotspots

Externí odkaz: https://doaj.org/article/95e6fb6f4fff4a70846df6949f9339b3

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SYMBA: An end-to-end VLBI synthetic data generation pipeline

Autor: Roelofs, F., Janssen, M., Natarajan, I., Deane, R., Davelaar, J., Olivares, H., Porth, O., Paine, S. N., Bouman, K. L., Tilanus, R. P. J., van Bemmel, I. M., Falcke, H., Akiyama, K., Alberdi, A., Alef, W., Asada, K., Azulay, R., Baczko, A., Ball, D., Baloković, M., Barrett, J., Bintley, D., Blackburn, L., Boland, W., Bower, G. C., Bremer, M., Brinkerink, C. D., Brissenden, R., Britzen, S., Broderick, A. E., Broguiere, D., Bronzwaer, T., Byun, D., Carlstrom, J. E., Chael, A., Chan, C., Chatterjee, S., Chatterjee, K., Chen, M., Chen, Y., Cho, I., Christian, P., Conway, J. E., Cordes, J. M., Crew, G. B., Cui, Y., De Laurentis, M., Dempsey, J., Desvignes, G., Dexter, J., Doeleman, S. S., Eatough, R. P., Fish, V. L., Fomalont, E., Fraga-Encinas, R., Friberg, P., Fromm, C. M., Gómez, J. L., Galison, P., Gammie, C. F., García, R., Gentaz, O., Georgiev, B., Goddi, C., Gold, R., Gu, M., Gurwell, M., Hada, K., Hecht, M. H., Hesper, R., Ho, L. C., Ho, P., Honma, M., Huang, C. L., Huang, L., Hughes, D. H., Ikeda, S., Inoue, M., Issaoun, S., James, D. J., Jannuzi, B. T., Jeter, B., Jiang, W., Johnson, M. D., Jorstad, S., Jung, T., Karami, M., Karuppusamy, R., Kawashima, T., Keating, G. K., Kettenis, M., Kim, J., Kino, M., Koay, J. Yi, Koch, P. M., Koyama, S., Kramer, M., Kramer, C., Krichbaum, T. P., Kuo, C., Lauer, T. R., Lee, S., Li, Y., Li, Z., Lindqvist, M., Lico, R., Liu, K., Liuzzo, E., Lo, W., Lobanov, A. P., Loinard, L., Lonsdale, C., Lu, R., MacDonald, N. R., Mao, J., Markoff, S., Marrone, D. P., Marscher, A. P., Martí-Vidal, I., Matsushita, S., Matthews, L. D., Medeiros, L., Menten, K. M., Mizuno, Y., Mizuno, I., Moran, J. M., Moriyama, K., Moscibrodzka, M., Müller, C., Nagai, H., Nagar, N. M., Nakamura, M., Narayan, R., Narayanan, G., Neri, R., Ni, C., Noutsos, A., Okino, H., Ortiz-León, G. N., Oyama, T., Özel, F., Palumbo, D. C. M., Patel, N., Pen, U., Pesce, D. W., Piétu, V., Plambeck, R., PopStefanija, A., Prather, B., Preciado-López, J. A., Psaltis, D., Pu, H., Ramakrishnan, V., Rao, R., Rawlings, M. G., Raymond, A. W., Rezzolla, L., Ripperda, B., Rogers, A., Ros, E., Rose, M., Roshanineshat, A., Rottmann, H., Roy, A. L., Ruszczyk, C., Ryan, B. R., Rygl, K. L. J., Sánchez, S., Sánchez-Arguelles, D., Sasada, M., Savolainen, T., Schloerb, F. Peter, Schuster, K., Shao, L., Shen, Z., Small, D., Sohn, B. Won, SooHoo, J., Tazaki, F., Tiede, P., Titus, M., Toma, K., Torne, P., Trent, T., Trippe, S., Tsuda, S., van Langevelde, H. J., van Rossum, D. R., Wagner, J., Wardle, J., Ward-Thompson, D., Weintroub, J., Wex, N., Wharton, R., Wielgus, M., Wong, G. N., Wu, Q., Young, A., Young, K., Younsi, Z., Yuan, F., Yuan, Y., Zensus, J. A., Zhao, G., Zhao, S., Zhu, Z.

Realistic synthetic observations of theoretical source models are essential for our understanding of real observational data. In using synthetic data, one can verify the extent to which source parameters can be recovered and evaluate how various data

Externí odkaz: http://arxiv.org/abs/2004.01161

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