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1. Active space approaches combining coupled-cluster and perturbation theory for ground states and excited states

   https://doi.org/10.1080/00268976.2020.1808726  

   Lange, Malte F. ; Berkelbach, Timothy C. ( October 2020 , Molecular Physics)
2. Prediction of Majorana edge states from magnetized topological surface states

   https://doi.org/10.1103/PhysRevB.103.024405  

   Zhang, Xiaoming ; Liu, Feng ( January 2021 , Physical Review B)
3. Psychological impacts from COVID-19 among university students: Risk factors across seven states in the United States

   https://doi.org/10.1371/journal.pone.0245327  

   Browning, Matthew H. ; Larson, Lincoln R. ; Sharaievska, Iryna ; Rigolon, Alessandro ; McAnirlin, Olivia ; Mullenbach, Lauren ; Cloutier, Scott ; Vu, Tue M. ; Thomsen, Jennifer ; Reigner, Nathan ; et al ( January 2021 , PLOS ONE)

   Lin, Chung-Ying (Ed.)

   Background University students are increasingly recognized as a vulnerable population, suffering from higher levels of anxiety, depression, substance abuse, and disordered eating compared to the general population. Therefore, when the nature of their educational experience radically changes—such as sheltering in place during the COVID-19 pandemic—the burden on the mental health of this vulnerable population is amplified. The objectives of this study are to 1) identify the array of psychological impacts COVID-19 has on students, 2) develop profiles to characterize students' anticipated levels of psychological impact during the pandemic, and 3) evaluate potential sociodemographic, lifestyle-related, and awareness of people infected with COVID-19 risk factors that could make students more likely to experience these impacts. Methods Cross-sectional data were collected through web-based questionnaires from seven U.S. universities. Representative and convenience sampling was used to invite students to complete the questionnaires in mid-March to early-May 2020, when most coronavirus-related sheltering in place orders were in effect. We received 2,534 completed responses, of which 61% were from women, 79% from non-Hispanic Whites, and 20% from graduate students. Results Exploratory factor analysis on close-ended responses resulted in two latent constructs, which we used to identify profiles of students with latent profile analysis, including high (45%more »of sample), moderate (40%), and low (14%) levels of psychological impact. Bivariate associations showed students who were women, were non-Hispanic Asian, in fair/poor health, of below-average relative family income, or who knew someone infected with COVID-19 experienced higher levels of psychological impact. Students who were non-Hispanic White, above-average social class, spent at least two hours outside, or less than eight hours on electronic screens were likely to experience lower levels of psychological impact. Multivariate modeling (mixed-effects logistic regression) showed that being a woman, having fair/poor general health status, being 18 to 24 years old, spending 8 or more hours on screens daily, and knowing someone infected predicted higher levels of psychological impact when risk factors were considered simultaneously. Conclusion Inadequate efforts to recognize and address college students’ mental health challenges, especially during a pandemic, could have long-term consequences on their health and education.« less
4. Role of Overlap between the Discrete State and Pseudocontinuum States in Stabilization Calculations of Metastable States

   https://doi.org/10.1021/acs.jpca.1c02699  

   Slimak, Stephen R. ; Jordan, Kenneth D. ; Falcetta, Michael F. ( May 2021 , The Journal of Physical Chemistry A)
5. Generation of thermofield double states and critical ground states with a quantum computer

   https://doi.org/10.1073/pnas.2006337117  

   Zhu, D. ; Johri, S. ; Linke, N. M. ; Landsman, K. A. ; Huerta Alderete, C. ; Nguyen, N. H. ; Matsuura, A. Y. ; Hsieh, T. H. ; Monroe, C. ( October 2020 , Proceedings of the National Academy of Sciences)

   Finite-temperature phases of many-body quantum systems are fundamental to phenomena ranging from condensed-matter physics to cosmology, yet they are generally difficult to simulate. Using an ion trap quantum computer and protocols motivated by the quantum approximate optimization algorithm (QAOA), we generate nontrivial thermal quantum states of the transverse-field Ising model (TFIM) by preparing thermofield double states at a variety of temperatures. We also prepare the critical state of the TFIM at zero temperature using quantum–classical hybrid optimization. The entanglement structure of thermofield double and critical states plays a key role in the study of black holes, and our work simulates such nontrivial structures on a quantum computer. Moreover, we find that the variational quantum circuits exhibit noise thresholds above which the lowest-depth QAOA circuits provide the best results.