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Onnes Technologies Hits Milestone on Cryogenic Nanopositioning for Quantum Sensing Research

Nanopositioner

Insider Brief

  • Onnes Technologies has developed an innovative new cryogenic nanopositioner.
  • According to the company, with qSPM, researchers can study the structure of protein complexes, such as ferritin, a protein in the human brain linked to Alzheimer’s disease, with unprecedented precision and accuracy.
  • Critical Quote: “We are about to enter a new paradigm of Scanning Probe Microscopy, where quantum-enhanced sensitivity can be leveraged to significantly improve the sensing capabilities of microscopes that are typically used in the semiconductor, quantum, 2D material and pharma industries.” — CEO Max Kouwenhoven

PRESS RELEASE — Onnes Technologies, a Dutch startup in tools for low temperature physics, has developed an innovative new cryogenic nanopositioner that is set to enable new developments in the field of Quantum Scanning Probe Microscopy (qSPM). The arQtika Linear Cryo-Walker, is capable of positioning while limiting heat dissipation to the order of micro-watts – minimizing the impact on the limited available cooling power of dilution refrigerators. This was demonstrated in a recently published whitepaper of the company in collaboration with Leiden Cryogenics.

With qSPM, researchers can study the structure of protein complexes, such as ferritin, a protein in the human brain linked to Alzheimer’s disease, with unprecedented precision and accuracy. This could lead to a better understanding of the disease, and ultimately help in the development of treatments and cures. Alternatively, qSPM is a promising way to characterize Two-Level Systems in Transmon qubit devices, which is a major hurdle for Quantum Computing. These contaminations are energetically too small for conventional microscopes to study. With qSPM, their chemical and structural origin can be studied and these results will be the stepping stone to optimize fabrication processes for better Quantum Hardware.

“We are about to enter a new paradigm of Scanning Probe Microscopy, where quantum-enhanced sensitivity can be leveraged to significantly improve the sensing capabilities of microscopes that are typically used in the semiconductor, quantum, 2D material and pharma industries” explains CEO Max Kouwenhoven. “Yet a number of challenges are to be tackled first in order to realize the cryogenic infrastructure needed to operate these quantum-enhanced sensors and enable their potential application.”

One of these challenges relates to cryogenic nanopositioning which is an essential part of any Quantum Microscope. Quantum Scanning Probe Microscopy is typically done at cryogenic temperatures. At these temperatures the thermal energy is lower than the energy differences between different quantum states, and hence making quantum effects visible and applicable for microscopy. “You can imagine that these forms of microscopy require extreme thermal stability at milli-kelvin temperatures in order to properly work. The results of this demonstration are very promising for the field of qSPM”, Max continues. “This is a significant milestone on the path towards achieving single-spin resolution, a technology that hopefully one day can help researchers working on improving quantum computing devices and novel drug development.”

The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

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What: GenMat Webinar

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Matt Swayne

With a several-decades long background in journalism and communications, Matt Swayne has worked as a science communicator for an R1 university for more than 12 years, specializing in translating high tech and deep tech for the general audience. He has served as a writer, editor and analyst at The Quantum Insider since its inception. In addition to his service as a science communicator, Matt also develops courses to improve the media and communications skills of scientists and has taught courses. [email protected]

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The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

Jake Vikoren

Jake Vikoren

Company Speaker

Deep Prasad

Deep Prasad

Company Speaker

Araceli Venegas

Araceli Venegas

Company Speaker

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