Quantum-Assisted Greedy Algorithms

We show how to leverage quantum annealers (QAs) to better select candidates in greedy algorithms. Unlike conventional greedy algorithms that employ problem-specific heuristics for making locally optimal choices at each stage, we use QAs that sample from the ground state of problem-dependent Hamiltonians at cryogenic temperatures and use retrieved samples to estimate the probability distribution of problem variables. More specifically, we look at each spin of the Ising model as a random variable and contract all problem variables whose corresponding uncertainties are negligible. Our empirical results on a D-Wave 2000Q quantum processor demonstrate that the proposed quantum-assisted greedy algorithm (QAGA) scheme can find notably better solutions compared to the state-of-the-art techniques in the realm of quantum annealingComment: in Proceedings of the 2022 International Geoscience and Remote Sensing Symposium (IGARSS

Who takes risks in high-risk sport? The role of alexithymia

People who have difficulty identifying and describing their emotions are more likely to seek out the experience of emotions in the high-risk domain. This is because the high-risk domain provides the experience of more easily identifiable emotions (e.g., fear). However, the continued search for intense emotion may lead such individuals to take further risks within this domain, which in turn would lead to a greater likelihood of experiencing accidents. Across three studies, we provide the first evidence in support of this view. In Study 1 (n = 762) alexithymia was associated with greater risk taking and a greater propensity to experience accidents and close calls. In Study 2 (n = 332) and Study 3 (n = 356) additional bootstrapped mediation models confirmed these relationships. The predictive role of alexithymia remained significant when controlling for sensation seeking (Study 1) and anhedonia (Study 2 and Study 3). We discuss the practical implications of the present model as they pertain to minimizing accidents and close calls in the high risk domain

Live weight parameters in Dorper, Damara and Australian Merino lambs subjected to restricted feeding

Seasonal weight loss (SWL) is a serious constraint to ruminant production in tropical and Mediterranean climates. SWL is controlled using supplementation, costly and difficult to implement in extensive production systems; or alternatively, using breeds with a natural adaptation to tropical climates, namely hair and fat tailed sheep. Albeit a 15-year presence in Australia, little is known on how Dorper and Damara sheep compared to the most widely used sheep breed in Australia, the Australian Merino. In this trial, the responses of the Damara, Dorper and Merino breeds to nutritional stress were compared during a 42-day trial. Seventy-two ram lambs, 24 from each breed, were randomly allocated to a growth (gaining 100 g/day) or a restricted diet (losing 100 g/day). Animals were weighed twice weekly. Individual rations were calculated from bodyweight, with animals being confined to consume their ration daily. The breeds were compared for bodyweight changes as a percentage of their initial weight for three periods (Days 0–10, 10–21 and 21–42). The significant differences between breeds in the percentage growth rates were that the Damara breed lost more weight than the other breeds on the restricted diet from Days 10 to 21 and gained less weight on the growth diet during Days 21–42. For all other periods the weights of Damara, Dorper and Merino breeds were not significantly different. By Day 24 all breeds had stopped losing weight on the restricted diet. We conclude that under confined feeding and considering growth parameters, the three breeds performed similarly