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An open-source quantum software stack? That's SMART
October 11, 2024
This is a preview issue of Quantum Campus, sharing the latest in quantum science and technology from university campuses. We publish every Friday and are always looking for news from researchers across the country. Want to see your work featured? Submit your ideas to the editor.
SMART Stack
Johns Hopkins’ Applied Physics Lab has begun work on its SMART Stack — “Scalable, Modular, cross-platform Adaptable, dynamically Reconfigurable, and error-Targeted” approaches to open-source quantum software design. The modular software stack components will manage noise in quantum calculations. These random molecular movements within and around the qubits will become a bigger and bigger issue as quantum computers grow increasingly complex.
The work is one of 38 projects backed by DOE last month. Led by APL, the team also includes researchers at University of Chicago, Unitary Fund, Lawrence Livermore, Infleqtion, and University of Michigan.
Spinning up organic metal halide hybrids
A Florida State team published a pair of papers identifying new magnetic and electronic properties in low-dimensional organic metal halide hybrids. Appearing in Angewandte Chemie and Advanced Materials, they offer promising platforms for highly tunable quantum spintronics and optoelectronic devices.
“While this new class of materials has proven useful in creating optical materials for optoelectronic devices, like LEDs, this is the first time we’re observing some unique magnetic properties,” said Biwu Ma, a member of the Florida State team. “Depending on the choices of appropriate organic and metal halide components, which theoretically could be unlimited, we are able to assemble them into crystalline structures with different dimensionalities. Different compositions and structures make them exhibit diverse properties, which can have a variety of applications, ranging from optoelectronics to spintronics, and even a combination of both.”
Read more in Florida State’s announcement.
Peng Xiong and Biwu Ma. Image from Devin Bittner/Florida State.
Diagrammatic Monte Carol simulations of pseudogaps
Researchers at the Flatiron Institute simulated a doped two-dimensional Hubbard model at finite temperature. Using controlled diagrammatic Monte Carlo calculations, they explored when superconducting materials fall into a pseudogap state and what causes the change.
With support from the Simons Foundation and partners at École Polytechnique and Collège de France in Paris, the study was published in Science.
It revealed that, as materials in the pseudogap cool toward absolute zero, they develop stripes, in which electrons organize into rows of matching spins separated by empty rows. “It was debated if the pseudogap always evolves into the stripe state,” Flatiron’s Antoine Georges said. “Our paper answers this prominent question in the field and closes that window.”
Read more from the Simons Foundation’s announcement.
Image from Lucy Reading-Ikkanda/Simons Foundation.
Quantum security for deep learning
Wellcome Leap — the Wellcome Trust’s $300 million effort to accelerate innovations in human health — announced eight teams that advanced to Phase 2 of its Quantum for Bio initiative. The teams will receive up to $750,000 in funding to implement their algorithms on classical high-performance computing systems. Those that advance to Phase 3 will implement these algorithms on quantum devices.
The Phase 2 teams are led by:
Frederic T. Chong, Infleqtion
Matthias Christandl, University of Copenhagen
Jonathan D. Hirst, University of Nottingham
Mikhail Lukin, Harvard University
Sabrina Maniscalco, Algorithmiq Inc.
Grant M. Rotskoff, Stanford University
Kanav Setia, qBraid Co.
Sergii Strelchuk, University of Cambridge
Read the Wellcome Leap announcement.
Quickbits
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