An approach to quantum random number generation based on unambiguous quantum state discrimination is developed. We consider a prepare-and-measure protocol, where two nonorthogonal quantum states can be prepared, and a measurement device aims at unambiguously discriminating between them. Because the states are nonorthogonal, this necessarily leads to a minimal rate of inconclusive events whose occurrence must be genuinely random and which provide the randomness source that we exploit. Our protocol is semi-device-independent in the sense that the output entropy can be lower bounded based on experimental data and a few general assumptions about the setup alone. It is also practically relevant, which we demonstrate by realizing a simple optical implementation, achieving rates of 16.5 Mbits=s. Combining ease of implementation, a high rate, and a real-time entropy estimation, our protocol represents a promising approach intermediate between fully device-independent protocols and commercial quantum random number generators.

Monitoring fiber reinforced polymer composites (FRPC) during their production and operation is becoming crucial to track the performance of the final parts and optimize the overall life cycle. The challenges associated with integrating multifunctional sensors with the required aspect ratio, manufacturing scalability, robustness, and performance within FRPC parts remain, however, unresolved. Here, a novel class of electronic polymer fiber sensors that can be seamlessly integrated within FRPC, and can sense and decouple cure time, temperature, and strain during and postprocessing is reported. It is shown that the particular fiber geometry induces a minimal impact on the final FRPC microstructure. Integrating both capacitive‐ and resistive‐based sensors within the electronic fibers, the monitoring of the resin flow and its curing during the production of FRPC parts is demonstrated. Finally, the embedded fiber sensors are used to measure and decouple thermal and mechanical loads imposed on the parts during their use, paving the way toward a new platform for smart and connected fiber reinforced polymer composites.

Long and flexible arrays of nanowires find impactful applications in sensing, photonics, and energy harvesting. Conventional manufacturing relies largely on lithographic methods limited in wafer size, rigidity, and machine write time. Here, we report a scalable process to generate encapsulated flexible nanowire arrays with high aspect ratios and excellent tunable size and periodicity. Our strategy is to control nanowire self-assembly into 2D and 3D architectures via the filamentation of a textured thin film under anisotropic stretching. This is achieved by coupling soft lithography, glancing angle deposition, and thermal drawing to obtain well-ordered meters-long nanowires with diameters down to 50 nanometers. We demonstrate that the nanowire diameter and period of the array can be decoupled and manipulated independently. We propose a filamentation criterion and perform numerical simulations implementing destabilizing long-range Van der Waals interactions. Applied to high-index chalcogenide glasses, we show that this decoupling allows for tuning diffraction. Finally, harnessing Mie resonance, we demonstrate the possibility of manufacturing macroscopic meta-grating superstructures for nanophotonic applications.