top of page

ARTICLE

Physicists create quantum-inspired optical sensor


Apparatus for measuring the position of an object using optical coherence alone. @ Nikita Kirsanov/MIPT

Researchers from the Moscow Institute of Physics and Technology, joined by a colleague from Argonne National Laboratory, U.S., have implemented an advanced quantum algorithm for measuring physical quantities using simple optical tools. Published in Scientific Reports, their study takes us a step closer to affordable linear optics-based sensors with high performance characteristics. Such tools are sought after in diverse research fields, from astronomy to biology.


Maximizing the sensitivity of measurement tools is crucial for any field of science and technology. Astronomers seek to detect remote cosmic phenomena, biologists need to discern exceedingly tiny organic structures, and engineers have to measure the positions and velocities of objects, to name a few examples.


Until recently, no measurement tool could ensure precision above the so-called shot noise limit, which has to do with the statistical features inherent in classical observations. Quantum technology has provided a way around this, boosting precision to the fundamental Heisenberg limit, stemming from the basic principles of quantum mechanics. The LIGO experiment, which detected gravitational waves for the first time in 2016, shows it is possible to achieve Heisenberg-limited sensitivity by combining complex optical interference schemes and quantum techniques.


Quantum metrology is a cutting-edge area of physics concerned with the technological and algorithmic tools for making highly precise quantum measurements. In their recent study, the team from MIPT and ANL fused quantum metrology with linear optics.


"We devised and constructed an optical scheme that runs the Fourier transform-based phase estimation procedure," said study co-author Nikita Kirsanov from MIPT. "This procedure lies at the core of many quantum algorithms, including high-precision measurement protocols."


A specific arrangement of a very large number of linear optical elements -- beam splitters, phase shifters, and mirrors -- makes it possible to gain information about the geometric angles, positions, velocities as well as other parameters of physical objects. The measurement involves encoding the quantity of interest in the optical phases, which are then determined directly.


"This research is a follow-up to our work on universal quantum measurement algorithms," commented principal investigator Gordey Lesovik, who heads the MIPT Laboratory of the Physics of Quantum Information Technology. "In an earlier collaboration with a research group from Aalto University in Finland, we experimentally implemented a similar measurement algorithm on transmon qubits."


The experiment showed that despite the large number of optical elements in the scheme, it is nevertheless tunable and controllable. According to the theoretical estimates provided in the paper linear optics tools are viable for implementing even operations that are considerably more complex.


"The study has demonstrated that linear optics offers an affordable and effective platform for implementing moderate-scale quantum measurements and computations," said Argonne Distinguished Fellow Valerii Vinokur.


Phase estimation algorithm for the multibeam optical metrology

V. V. Zemlyanov, N. S. Kirsanov, M. R. Perelshtein, D. I. Lykov, O. V. Misochko, M. V. Lebedev, V. M. Vinokur & G. B. Lesovik

Scientific Reports volume 10, Article number: 8715 (2020)


Contact information:

MIPT Professor & Terra Quantum AG Chief Technology Officer and co-founder


Moscow Institute of Physics and Technology (MIPT)

  • RSS

Subscribe to our monthly Newsletter

Get the nanotech news that matters directly in your inbox.

Thank you registering!

Follow us on social media

  • LinkedIn
  • X
  • Youtube
  • Tumblr
  • Facebook

Jun 29, 2024

Thessaloniki, Greece

NANOTEXNOLOGY 2024

Jun 30, 2024

Melbourne VIC, Australia

29th Opto-Electronics and Communications Conference 2024 (OECC2024)

Jul 1, 2024

Kuala Lumpur, Malaysia

ICMRN-2024

bottom of page