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Eavesdropping on the Electron: A New Method for Extracting Data From Noise

Insider Brief

  • Researchers at the University of Duisburg-Essen have developed a method for extracting data from noisy signals, a discovery that holds significant potential for quantum computing, as detailed in the latest issue of Physical Review Research.
  • The research focuses on quantum dots, nanometer-sized structures whose electrons can assume two different spin directions, thus functioning as qubits essential for quantum computers and the method allows for the specific preparation and measurement of the lifespan of these spin states in qubits, ensuring the stability and integrity of information.
  • The technique, which involves analyzing long-term noise data generated by a constantly excited quantum dot sample, can decipher the lifetime of spin states from seemingly random optical signals and aligns with Rolf Landauer’s 1998 theory that “The noise is the signal,” and it may enable reevaluation and discovery of signals in older data previously deemed unusable.

UNIVERSITY RESEARCH NEWS — University of Duisburg-Essen/November 8, 2023 — A method developed at the University of Duisburg-Essen makes it possible to read data from noisy signals. Theoretical physicists and their experimental colleagues have published their findings in the current issue of Physical Review Research. The method they describe could also be significant for quantum computers.

You know it from the car radio: The weaker the signal, the more disturbing the noise. This is even more true for laboratory measurements. Researchers from the Collaborative Research Center 1242 and the Center for Nanointegration (CENIDE) at the University of Duisburg-Essen (UDE) have now described a method for extracting data from noise.

What is a bit in a conventional computer, i.e., state 1 (current on) or state 0 (current off), is taken over in the quantum computer by the quantum bits, or qubits for short. To do this, they need defined and distinguishable states, but they can overlap at the same time and therefore enable many times the computing power of a current computer. This means they could also be used where today’s supercomputers are overtaxed, for example in searching extremely large databases.

In Collaborative Research Center 1242, the smallest structures and their changes are studied, including quantum dots. These nanometer-sized structures can be tailored in their electronic and optical properties in the laboratory. Put simply, their electrons can assume two different directions of rotation (“spin up” and “spin down”). This is how the qubits needed for quantum computers can be realized. These should be stable for as long as possible so that no information is lost.

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“With our novel technique, we were able to demonstrate that spin states can be specifically prepared and at the same time determine how long such a state is maintained,” explains Dr. Eric Kleinherbers, until recently a postdoc in the Theoretical Physics group headed by Prof. Dr. Jürgen König, now at the University of California, Los Angeles.

For this purpose, a quantum dot sample was permanently exposed to an exciting laser and the resulting noise was recorded over a long period of time. The theoretical physicists led by Kleinherbers succeeded in extracting the lifetime of the spin states from this apparently random optical signal.

Rolf Landauer, a pioneer of information theory, had already predicted this finding in 1998 and summarized it with the phrase “The noise is the signal.” The technique used now makes it possible to re-evaluate even older, seemingly useless data and to discover signals that had previously remained hidden.

More information: Eric Kleinherbers et al, Unraveling spin dynamics from charge fluctuations, Physical Review Research (2023). DOI: 10.1103/PhysRevResearch.5.043103

Journal information: Physical Review Research

SOURCE

Featured image: A look inside the open cryostat: In operation, the slide with the mounted sample is analyzed in a vacuum at about -270°C. Credit: Hendrik Mannel

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James Dargan

James Dargan is a writer and researcher at The Quantum Insider. His focus is on the QC startup ecosystem and he writes articles on the space that have a tone accessible to the average reader.

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