Optimal quantum state discrimination via nested binary measurements

A method to compute the optimal success probability of discrimination of N arbitrary quantum states is presented, based on the decomposition of any N-outcome measurement into sequences of nested two-outcome ones. In this way the optimization of the measurement operators can be carried out in successive steps, optimizing first the binary measurements at the deepest nesting level and then moving on to those at higher levels. We obtain an analytical expression for the maximum success probability after the first optimization step and examine its form for the specific case of N=3,4 states of a qubit. In this case, at variance with previous proposals, we are able to provide a compact expression for the success probability of any set of states, whose numerical optimization is straightforward; the results thus obtained highlight some lesser-known features of the discrimination problem.Comment: v2: added references to previous works closely related to Sec. II; 8+3 pages; 3 figure

Network Formation via Anion Coordination: Crystal Structures Based on the Interplay of Non-Covalent Interactions

We describe the synthesis and the structural characterization of new H2L(CF3CO2)2 (1) and H2L(Ph2PO4)2 (2) compounds containing the diprotonated form (H2L2+) of the tetrazine-based molecule 3,6-di(pyridin-4-yl)-1,2,4,5-tetrazine. X-ray diffraction (XRD) analysis of single crystals of these compounds showed that H2L2+ displays similar binding properties toward both anions when salt bridge interactions are taken into account. Nevertheless, the different shapes, sizes and functionalities of trifluoroacetate and diphenyl phosphate anions define quite different organization patterns leading to the peculiar crystal lattices of 1 and 2. These three-dimensional (3D) architectures are self-assembled by a variety of non-covalent forces, among which prominent roles are played by fluorine–π (in 1) and anion–π (in 2) interactions

Advances in functional assemblies for regenerative medicine

The ability to synthesise bioresponsive systems and selectively active biochemistries using polymer-based materials with supramolecular features has led to a surge in research interest directed towards their development as next generation biomaterials for drug delivery, medical device design and tissue engineering

Serverless Scheduling Policies based on Cost Analysis

Current proprietary and open-source serverless platforms follow opinionated, hardcoded scheduling policies to deploy the functions to be executed over the available workers. Such policies may decrease the performance and the security of the application due to locality issues (e.g., functions executed by workers far from the databases to be accessed). These limitations are partially overcome by the adoption of APP, a new platform-agnostic declarative language that allows serverless platforms to support multiple scheduling logics. Defining the "right" scheduling policy in APP is far from being a trivial task since it often requires rounds of refinement involving knowledge of the underlying infrastructure, guesswork, and empirical testing. In this paper, we start investigating how information derived from static analysis could be incorporated into APP scheduling function policies to help users select the best-performing workers at function allocation. We substantiate our proposal by presenting a pipeline able to extract cost equations from functions' code, synthesising cost expressions through the usage of off-the-shelf solvers, and extending APP allocation policies to consider this information.Comment: In Proceedings TiCSA 2023, arXiv:2310.1872

Analysing the resilience of agricultural production systems with ResiPy, the Python production resilience estimation package

Abstract We present ResiPy, a Python object-oriented software to compute the annual production resilience indicator. This indicator can be applied to different anthropic and natural systems, e.g., agricultural production, natural vegetation and water resources, to quantify their stabilities and the risk of adverse events. We propose an illustrative application of ResiPy to agricultural production in Europe, expressed in economic terms. After estimating the single-country or single-crop resilience, we evaluate the overall resilience of diversified production systems, composed of different crops and different cultivation areas. ResiPy also includes a powerful graphical tool to visually estimate the impact of diversity on complex production systems. The robustness of the indicator and the simplicity of the code ensure its effective applicability in many fields and with different datasets

AdRem: An Integrated Approach for Adaptive Remediation

Abandoned industrial sites are generally characterized by soil and subsoil contamination. The paradigm currently employed for their remediation is “tabula rasa”, i.e., remediation of the entire site before its repurpose. However, this method is not economically, socially, or technologically sustainable: it delays the reuse of large areas, often well-connected to infrastructures, whose reuse may prevent further soil consumption. A possible solution to this problem is the application of adaptive reuse principles. This study, conducted at FULL (Future Urban Legacy Lab) in Politecnico di Torino, presents an interdisciplinary approach to spatialize, visualize, and manage interactions between reclamation and urban design for the transformation of contaminated urban areas. The core is based on a decision support parametric toolkit, named AdRem, developed to compare available remediation techniques and schematic urban design solutions. AdRem uses a 3D modeling interface and VPL scripting. Required input data are a geometric description of the site, data on the contamination status, viable remediation techniques, and associated features, and schematic urban design recommendations. A filtering process selects the techniques compatible with the site use foreseen. The output is an optimized remediation and reuse plan that can support an interdisciplinary discussion on possible site regeneration options

EFFECTS OF A SPECIFIC TRAINING PROTOCOL ON POSTUROGRAPHIC PARAMETERS OF A TAEKWONDO ELITE ATHLETE AND IMPLICATIONS ON INJURY PREVENTION: A CASE STUDY

Introduction: Taekwondo elite athletes should have excellent qualities in several aspects of fitness, as well as peculiar postural characteristics in terms of balance and postural control, to achieve the best possible results during competitions. Moreover, it is known that taekwondo shows high risk of injury. The aim of this case study is to evaluate the effects of a specific training protocol on posturographic parameters of a taekwondo elite athlete in order to prevent the risk of injury. Materials and methods: The specific training protocol provided 2 months of general strength conditioning, which included pre-conditioning in the first 2 weeks, physical training to improve explosive strength, balance and postural control and athletic training to improve the combat technique. The experimental design included three assessment times: the pre-test (T0), the intermediate- test (T1) and the post-test (T2). Each test provided the same evaluations: anthropometric measurements, cervical ROM assessment and posturographic evaluation. Results: Stabilometric parameters showed a good balance and postural control both in T0 and T2. Baropodometric parameters showed a physiological load pressure distribution between the left and the right foot in T0 (left foot 54% - right foot 46%) as well as in T2 (left foot 45% - right foot 55%). The left forefoot-rearfoot ratio pressure showed no differences between T0 and T2 (p>0.05); we found an improvement on the right forefoot-rearfoot ratio (p<0.05). Cervical range of motion evaluation showed no significant variations from T0 to T2 (p>0.05) on rotation and lateral bending movements; we found an improvement on the extension movement from T0 to T2 (p<0.05), while the flexion movement decreased (p>0.05). Conclusion: The presented case study showed that the experimental protocol improved the postural parameters of this taekwondo elite athlete. We believe that other athletes may adopt this protocol in order to improve own sports performance and to prevent injuries

Infantile epilepsy associated with mosaic 2q24 duplication including SCN2A and SCN3A

AbstractEpilepsies can be caused by specific genetic anomalies or by non-genetic factors, but in many cases the underlying cause is unknown.Mutations in the SCN1A and SCN2A genes are reported in childhood epilepsies; in particular SCN1A was found mutated in patients with Dravet syndrome and with generalized epilepsy with febrile seizures plus (GEFS+).In this paper we report a patient presenting with an atypical epileptic syndrome whose phenotype partially overlaps both Dravet syndrome and benign familial neonatal-infantile seizures (BFNIS).Array-CGH analysis suggested the presence of a mosaic duplication (about 12Mb) at the level of chromosome 2q23.3q24.3 involving SCN2A and SCN3A genes. Additional analyses (radiolabeled RFLP and quantitative PCR) confirmed the mosaicism of the duplication.We suggest that the array-CGH analysis is mandatory for children presenting with epilepsy and psycho-motor retardation even without dysmorphisms or other clinical features suggesting a specific genetic/epileptic syndrome. The analysis must nevertheless be performed taking into account the possibility of a mosaicism