Instead, they will grant Government Purpose Rights to build their solutions. The challenge winner will not have to transfer their exclusive IP rights to the government to receive a contract award. This challenge aims to design and demonstrate quantum information extraction beyond the Rayleigh limit of the imaging system, using realistic conditions and translatable to a realizable measurement system or architecture. Methodologies proposed should quantify the improvement of quantum-inspired image extraction techniques over the current state-of-the-art used by the space surveillance network. This Grand Challenge aims to provide improved detection of debris objects and characterization of space objects, including but not limited to fragmentation event debris counts and enhanced definition of unknown debris objects for better classification and orbital determinations. exceptionally low light levels, oddly shaped bodies, extreme ranges, and non-standard trajectories). Also, small bodies in our solar system, such as the interstellar object Oumuamua, exhibit qualities that make them challenging for our terrestrial and space-based platforms to characterize (e.g. Currently, telescopes cannot distinguish objects that are 1,000,000 for sizes 1-10 centimeters, and >130,000,000 for objects 0.1-1 centimeters.
Space debris is a growing concern with an exponentially increasing orbital mass that threatens operational mission sets. Problem solvers in the field of quantum-inspired information extraction of images beyond the Rayleigh limit can win a $500,000 contract, awarded in four phases, to develop high-resolution space imaging solutions. Quantum-inspired imaging techniques resolving beyond the Rayleigh resolution limit could provide advantages for real-world problem sets, such as the detection and characterization of manufactured space debris or natural space objects such as asteroids, comets, and interstellar objects. 4, 2022 - The Air Force Research Laboratory ( AFRL) is seeking white papers to evaluate methods for quantum-inspired efficient information extraction, which break traditional imaging limitations. JEL codes: D23 H57 O31, O32.Since 1987 - Covering the Fastest Computers in the World and the People Who Run Them We provide suggestive evidence that backlogged contracting officers are unable to devote enough time to tender and contract specifications. In our sample, an additional contracting officer in the procurement unit, holding fixed the procurement budget and number of purchases, leads to a two percentage point increase in the probability for an R&D contract to generate patents. We find a large increase in patenting at the extensive margin when the same officer is exposed to a declining workload. The identification comes from unanticipated retirement shifts among contracting officers, which we use to instrument workload. We link tender, contract, patent, and office records to the identity of the officer responsible for the procurement process to estimate how workload in the federal acquisition unit affects the execution of R&D contracts.
Does workload constitute a bottleneck to a public agency's mission, and if so, to what extent? We ask these questions in the context of the US government's procurement of R&D.
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