Quantum Entanglement is an essential resource for ultra-precise measurements that cannot be achieved classically. Entanglement is realized by exploiting the non-linear properties of materials, such as Josephson junctions in the microwave regime and non-linear crystals for optical photons. These processes enable the creation of highly correlated photon pairs, which serve as the foundation for various quantum applications with record breaking sensitivity and precision.

An Inertial Measurement Unit (IMU) is a sensor device that measures motion, orientation, and angular velocity using high precision sensors. IMUs are widely used in navigation, aviation, and consumer electronics. However, they face several challenges.  Environmental factors such as temperature changes, vibrations, and magnetic interference can introduce noise and reduce accuracy.  Cost is another concern—high-precision IMUs offer excellent accuracy but are expensive, while low-cost MEMS IMUs suffer from noise. Integrating IMUs with other systems like GPS, cameras, and LiDAR helps mitigate errors but adds complexity.  Despite these challenges, IMUs remain essential for motion tracking, particularly when combined with complementary technologies. We aim to introduce a state of the art quantum-IMU system that increases precision and reliability.

Radar

Radar (Radio Detection and Ranging) is a technology that uses radio waves to detect, track, and measure the speed and distance of objects. It works by transmitting radio signals, which bounce off objects and return to the radar receiver. Radar is widely used in aviation, weather forecasting, military defense, and maritime navigation. However, radar systems face several challenges. Signal interference from other electronic devices or natural phenomena can reduce accuracy.  Environmental factors like weather conditions, terrain, and atmospheric disturbances can weaken or distort signals. Additionally, high-frequency radar offers better resolution but suffers from shorter range and higher attenuation. To overcome these challenges, we aim to integrate our state of the art quantum limited amplifier, QuLIPA, to drastically enhance signal to noise ratios for fast and reliable signal detection.