NASA’s Fundamental Physics Program has selected seven proposals, including one from UW–Madison physics professor Shimon Kolkowitz, submitted in response to the Research Opportunities in Space and Earth Sciences – 2022 Fundamental Physics call for proposal.
The selected proposals are from seven institutions in seven states, with the total combined award amount of approximately $9.6 million over a five-year period. Kolkowitz’s proposal is ““Developing new techniques for ultra-high-precision space-based optical lattice clock comparisons.”
Three of the selected projects will involve performing experiments using the Cold Atom Laboratory (CAL) aboard the International Space Station (ISS). Four of the selected proposals call for ground-based research to help NASA identify and develop the foundation for future space-based experiments.
The Fundamental Physics Program is managed by the Biological and Physical Sciences Division in NASA’s Science Mission Directorate. This program performs carefully designed research in space that advances our understanding of physical laws, nature’s organizing principles, and how these laws and principles can be manipulated by scientists and technologies to benefit humanity on Earth and in space.
Beating the diffraction limit in diamonds
by Daniel Heimsoth
Resolving very small objects that are close together is a frequent goal of scientists, making the microscope a crucial tool for research in many different fields from biology to materials science.
The resolution of even the best modern confocal microscopes — a common optical microscope popular in biology, medicine, and crystallography — is limited by an optical bound on how narrow a laser beam can be focused, known as the diffraction limit.
In a study recently published in the journal ACS Photonics, UW–Madison physics professor Shimon Kolkowitz and his group developed a method to image atomic-level defects in diamonds with super-resolution, reaching a spatial resolution fourteen times better than the diffraction limit achievable with their optics. And, because the technique uses a standard confocal microscope, this super-resolution should be available to any researchers that already have access to this common equipment.
While methods to achieve super-resolution already exist, such as stimulated emission depletion microscopy (STED), nearly all of these methods either require the addition of special optics, which can be expensive and difficult to install, or specialized samples and extensive post processing of the data. The UW–Madison technique, which they call “super-resolution Airy disk microscopy” (SAM), avoids such barriers to entry.
“You can get this all for free with the existing setup that a lot of labs already have, and it performs almost just as well,” says Aedan Gardill, a graduate student in Kolkowitz’s group and lead author of the paper. “We were able to get resolution down to twenty nanometers, which is comparable with standard techniques using [STED].”
The ‘Airy disk’ in SAM refers to a key feature of light beams that gives rise to the diffraction limit but which the researchers turned to their advantage.
Confocal microscopes use laser beams of specific wavelengths to excite matter in a sample, causing that matter to emit light. On the microscopic scale, the laser beam does not create a solid circle of light on the sample in the same way a flashlight would. Rather, light hits the object in a series of light and dark rings called an Airy pattern. Within the dark rings, the matter receives no light, which means it cannot be detected by the microscope’s light sensors.
The novelty of the SAM technique is in its two laser beam pulses, one spatially offset from the other such that the overlapping Airy patterns can distinguish between two closely spaced objects.
In their paper, the research team studied nitrogen-vacancy (NV) centers in diamond crystal, which are regions in the crystal lattice where one of two neighboring carbon atoms is replaced by a nitrogen atom, and the other is left empty. NV centers are known to have two different charge states based on how many electrons are in the defect, one that fluoresces and one that remains dark when yellow light is applied to them.
To resolve two NV centers separated by a distance less than the diffraction limit of the microscope, the SAM procedure first shines green light on them, preparing both centers into their fluorescent charge state. Then, a red laser is applied, offset such that only one of the two NV centers is in the dark ring of the Airy pattern and thus is not affected by the beam. The NV center that does see the red light is switched to the dark state.
“It goes to another dark charge state where it does not interact with yellow light,” Gardill explains. “But the initial bright charge state does interact with yellow light and will emit light.”
Finally, when the yellow laser is applied, one NV center emits light while the other does not, effectively differentiating between the two neighboring sites. By repeating these steps iteratively over a grid, the researchers could reconstruct a full image of the two nearby NVs with spectacular resolution.
The idea for this technique came as a bit of a surprise while the team was studying charge properties of NV centers in 2020.
“We tried the combinations of red-green, green-red, red-red, green-green with those first two [laser] pulses, and the one that was green then red, we ended up seeing this ring,” Gardill recounts. “And Shimon was like, ‘The width of the ring is smaller than the size of [the confocal image of] the NV. That is super-resolution.’”
This method could find wide use in many different fields, including biology and chemistry where NV centers are used as nanoscale sensors of magnetic and electric fields and of temperature in compounds and organic material. NV centers have also been studied as candidates for quantum repeaters in quantum networks, and the research team has considered the feasibility of using the SAM technique to aid in this application. Currently, the SAM method has only been applied to NV centers in diamond crystal, and more research is needed to extend its use to different systems.
That all of this can be done with hardware that many labs across the world already have access to cannot be overstated. Gardill reiterates, “If they have a basic confocal microscope and don’t want to buy another super-resolution microscope, they can utilize this technique.”
This work was supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award #DE-SC0020313.
Daniel Heimsoth is a second-year PhD student in Physics. This was his first news story for the department.
Chicago State University students gain quantum experience through HQAN summer internships
Over the past summer, the NSF Quantum Leap Challenge Institute for Hybrid Quantum Architectures and Networks (HQAN) offered a 12-week “Research Experiences for CSU Students” internship opportunity that provided students and recent graduates from Chicago State University (CSU) with virtual research experiences addressing quantum science topics. In an August 20 online poster session, students presented the results of their summer projects to HQAN’s university and industry partners.
Mallory Conlon, HQAN’s outreach program coordinator and the quantum science outreach program coordinator with the UW–Madison department of physics, explained that this year’s program was the pilot offering. “We wanted to make sure we had the support and activity structures right before expanding this to more [minority serving institutions] (MSIs) and other underrepresented groups across the Midwest. We’re currently evaluating the program and aim to develop an expanded internship for summer 2022.” For the pilot, CSU was chosen as the sole participating MSI because of its proximity to the University of Chicago (one of HQAN’s three university partners), and because of HQAN staff connections to CSU.
The posters presented on August 20 included Anosh Wasker’s “Quantum Games for Pedagogy” (advised by Russell Ceballos of the Chicago Quantum Exchange); Dominique Newell’s “Super-Resolution Microscopy Using Nitrogen Vacancy Centers in Diamond to Analyze the Optical Near Field Diffraction Limit” (advised by Shimon Kolkowitz of the University of Wisconsin–Madison); Gabrielle Jones-Hall’s “Demonstrating Entanglement” (advised by Paul Kwiat of the University of Illinois at Urbana-Champaign (UIUC)); and Ryan Stempek’s “Quantum vs. Classical Boltzmann Machines for Learning a Quantum Circuit” (advised by Bryan Clark of UIUC).
Wasker is pursuing a Master’s at CSU; his long-term goals are to go for a PhD and then work in industry. Over the summer, he developed an air-hockey-inspired computer game that teaches players some of the counterintuitive concepts involved in quantum—particularly the Hong-Ou-Mandel (HOM) effect. He says he’s passionate about quantum science and has noticed that many opportunities are coming up in the field, but that it’s difficult for people to find “access points” into learning about this intimidating topic so that they can seize those opportunities. His summer project was inspired by his belief that learning through play is a powerful way to gain understanding.
Newell recently graduated from CSU with a BS in physics, with a minor in chemistry. She spent the summer studying the propagation of light through a laser beam that travels through a nitrogen vacancy center in diamond, as observed through a confocal microscope. The goal was to locate the zero intensity points above and below the focal plane of a Gaussian beam by using its own electromagnetic field.
Jones-Hall is now in graduate school at Mississippi Valley State University. She’s working towards a Master’s in Bioinformatics but plans to return to quantum after completing that degree, so her internship project—which worked on developing a quantum-themed escape room designed to teach players the concept of quantum entanglement—will be relevant to her later work.
Stempek will graduate in December with a Master’s in computer science and then work in industry. His summer project aimed to show that a quantum Restricted Boltzmann Machine (Q-RBM) has the potential to learn the probability distribution over a set of inputs more accurately than a classical RBM (C-RBM) can for the same circuit. He says the internship was a great opportunity for him to further build his Python skills and problem-solve through the ups and downs of research. “[It] was really beneficial,” he says, “and actually, moving into industry, I feel that I’ll have a greater sense of self-confidence… It was a great experience!”
HQAN is a partnership among the University of Chicago, UIUC, and the University of Wisconsin–Madison and is funded by the National Science Foundation.