Chaos Makes Quantum Sensors Work More Precisely
April 13, 2018 | University of TübingenEstimated reading time: 2 minutes
Quantum sensors already measure quantities such as temperature, magnetic field strength or accelerations very accurately. And they work even more precisely with chaotic dynamics. Physicists at the University of Tübingen showed this in a study in which they developed a method with which the measurement accuracy of high-precision sensors could be improved by a further 70%. Doctoral candidate Lukas Fiderer and Professor Daniel Braun from the Institute of Theoretical Physics used weak laser pulses in a computer simulation to disturb the dynamics of a magnetic field sensor. The results of the study were published in the journal Nature Communications.
Quantum metrology is a field of metrology, the science of measurement. It differs from conventional measuring methods as quantum systems such as atoms or photons are employed as sensors that can only be described with the laws of quantum mechanics. Conventional sensors follow regular, predictable dynamics. They are constructed in such a way that chaos – this is how theoretical physics describes dynamics in which disturbances grow exponentially – is avoided, otherwise the measurement of parameters becomes unpredictable or even impossible. But quantum sensors follow other laws: Quantum chaos is not at all associated with unpredictability.
The scientists therefore investigated how measurement accuracy would change if the quantum sensor did not behave regularly but increasingly chaotically. They used formulas to describe a physical model and then designed a computer simulation of a quantum sensor, the atomic vapor magnetometer, and its dynamics. Atomic vapor magnometers are already very accurate magnetic field sensors which contain a vapor of alkali atoms in a glass cell. When the cell is in a magnetic field, the atoms rotate like small compass needles. By measuring the direction of rotation with a laser, scientists can measure the magnetic field. "In the simulation, we fired weak laser pulses at the atoms during the measurement process to render the dynamics chaotic," explains Lukas Fiderer, who started this research as part of his master thesis and is now working on his doctorate.
The research demonstrated an improvement in measurement accuracy of 70%. A decisive advantage is that the chaotic dynamics can be set in such a way that the sensor is more robust against disturbing interactions with the environment. The scientists have already applied for a patent for the new magnetic field sensor. “We hope that our model will soon be implemented experimentally and assume that the method will be used in various quantum sensors. It could pave the way forward to more accurate and robust sensors.”
Suggested Items
I-Connect007 Editor’s Choice: Five Must-Reads for the Week
06/06/2025 | Nolan Johnson, I-Connect007Maybe you’ve noticed that I’ve been taking to social media lately to about my five must-reads of the week. It’s just another way we’re sharing our curated content with you. I pay special attention to what’s happening in our industry, and I can help you know what’s most important to read about each week. Follow me (and I-Connect007) on LinkedIn to see these and other updates.
INEMI Interim Report: Interconnection Modeling and Simulation Results for Low-Temp Materials in First-Level Interconnect
05/30/2025 | iNEMIOne of the greatest challenges of integrating different types of silicon, memory, and other extended processing units (XPUs) in a single package is in attaching these various types of chips in a reliable way.
Siemens Leverages AI to Close Industry’s IC Verification Productivity Gap in New Questa One Smart Verification Solution
05/13/2025 | SiemensSiemens Digital Industries Software announced the Questa™ One smart verification software portfolio, combining connectivity, a data driven approach and scalability with AI to push the boundaries of the Integrated Circuit (IC) verification process and make engineering teams more productive.
Cadence Unveils Millennium M2000 Supercomputer with NVIDIA Blackwell Systems
05/08/2025 | Cadence Design SystemsAt its annual flagship user event, CadenceLIVE Silicon Valley 2025, Cadence announced a major expansion of its Cadence® Millennium™ Enterprise Platform with the introduction of the new Millennium M2000 Supercomputer featuring NVIDIA Blackwell systems, which delivers AI-accelerated simulation at unprecedented speed and scale across engineering and drug design workloads.
DARPA Selects Cerebras to Deliver Next Generation, Real-Time Compute Platform for Advanced Military and Commercial Applications
04/08/2025 | RanovusCerebras Systems, the pioneer in accelerating generative AI, has been awarded a new contract from the Defense Advanced Research Projects Agency (DARPA), for the development of a state-of-the-art high-performance computing system. The Cerebras system will combine the power of Cerebras’ wafer scale technology and Ranovus’ wafer scale co-packaged optics to deliver several orders of magnitude better compute performance at a fraction of the power draw.