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by Jeff Wong, EY — Kristin Gilkes, EY — venturebeat — The recent Ant-Man movie did a great job of putting quantum up in lights, but the future of quantum science shines even brighter than fiction. One application, quantum sensors, is already the basis of some of the most important systems and technologies in our world — global positioning systems (GPS) and magnetic resonance imaging (MRI) scanners are prime examples. Quantum sensors and quantum AI are just the beginning: Robots are now getting the quantum sensor treatment too. Quantum sensors will supercharge the way robots work and how we apply them to important 21st-century challenges.
Why quantum sensors are a big deal
Modern technology is full of sensors that measure heat, light, movement, pressure or other aspects of the physical environment. Quantum sensors add something new. They use the quantum properties of how particles behave at atomic scale to detect tiny movements or changes in gravitational, electric or magnetic fields. Because they work at such a small scale, quantum sensors can measure light or other observable phenomena extremely accurately. It also means they can provide a highly precise and stable measurement, as they measure properties like the structure of atoms or spins of atomic particles, which never change. This accuracy and reliability make quantum sensors very useful. They make sure the tick of atomic clocks stays true to the beat of time, a quality which puts them at the heart of GPS and other Positioning, Navigation and Timing (PNT) systems. They are also widely used in MRI scanners to provide clinicians with finely detailed diagnostic images. And they are also helping improve the environmental data available to scientists and industry, a vital aspect of global sustainability efforts.
It’s important to mention, though, that sometimes being so precise and sensitive can be less useful. That’s because it results in a lot of noise in the data. Noisy data is a challenge that teams like our EY quantum data science team are tackling by implementing AI to separate insights from the noise. In fact, combining quantum sensing with other technologies is a strategy with lots of potential. Quantum sensing and robotics is a good example. The tiny size of most quantum sensors, plus their high sensitivity, have already led to their use as tactile sensing elements in fiber optic cables for robotic arms — helping the robot arm to perceive its environment by detecting precise information about pressure, vibration, temperature or texture. Other potential applications of this powerful combination are also emerging. For example, we are starting to see quantum sensors combined with mobile robots. Information about the environment detected by the sensors, such as small changes in temperature or magnetic fields, can enable the robot to make more precise movements and decisions, as well as gather valuable data for other purposes.