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Quantum Entanglement Meets Superconductivity in Novel Experiment

A recent experiment finds an unlikely connection between two previously distinct quantum technologies

2 min read
Junichiro Kono (left) and Qimiao Si in Kono’s Rice University laboratory in December 2019.
Junichiro Kono (left) and Qimiao Si are shown here in Kono’s Rice University laboratory in December 2019.
Photo: Jeff Fitlow/Rice University

Two mysterious components of quantum technology came together in a lab at Rice University in Houston recently. Quantum entanglement—the key to quantum computing—and quantum criticality—an essential ingredient for high-temperature superconductors—have now been linked in a single experiment.

The preliminary results suggest something approaching the same physics is behind these two essential but previously distinct quantum technologies. The temptation, then, is to imagine a future in which a sort of grand unified theory of entanglement and superconductivity might be developed, where breakthroughs in one field could be translated into the other.

The research centers around a thin film of a metal (composed of the elements ytterbiumrhodium, and silicon) fabricated by researchers at the Vienna University of Technology. A team at Rice, then, analyzed its peculiar properties.

They observed the film in a state that both exhibited so-called “quantum critical” behavior and a widespread level of quantum entanglement among billions of its electrons.

Terahertz radiation illuminates the materialTerahertz radiation illuminates the material, which is made up of three elements.Illustration: Vienna University of Technology

“Usually with qubits, you build one; you build two; if you get to ten, that’s a large number,” said Qimiao Si, professor of physics at Rice and director of the Rice Center for Quantum Materials. “There’s a tantalizing promise that collectively, there’s so many electrons that are quantum mechanically entangled, and they could potentially be a resource for quantum engineering.”

The film’s quantum critical state, which is separate and distinct from its observed quantum entanglement, comes courtesy of the film’s composition. Si said the team relied on previous research that’s established this film has a net-zero magnetic field—but only because its electrons are aligned electron-by-electron, one against the other. This “anti-ferromagnetic” behavior is a hallmark of its quantum critical state.

“As a field, we’d like to understand the nature of quantum criticality,” Si said. The present research, he added, helps in that quest.

Si and colleagues cooled their metal film down near absolute zero to observe its response to a range of terahertz radiation beams. Although less than 0.1 percent of any given terahertz beam transmitted through the film, the researchers found that if they integrated their observations over many hours, they could piece together a weak signal.

And when they compared those weak signals at various temperatures and terahertz frequencies, they found a collective behavior among the electrons that the terahertz radiation probed. The behavior consists of a scaling relationship between the temperature of the sample and the radiation’s frequency—indicating a quantum synchrony among the electrons in the metal film that Si says strongly suggests the electrons are all entangled.

Tell any quantum computer scientist that entanglement can be generated not in the dozens or hundreds of particles but rather in the millions or billions, and they might be inclined to take a gander.

On the other hand, tell any superconductivity researcher that the same phenomenon that’s potentially at the root of their Holy Grail quest (quantum criticality) happens in the apparent presence of quantum entanglement, and they might want to know more, too.

“It took a long time to demonstrate that this kind of quantum criticality involves quantum entanglement in an essential way,” Si said. “This is (also) fundamental research that has the potential to provide the design principles for high-temperature superconductivity.”

The group’s research was published in a recent issue of the journal Science.

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The Future of Deep Learning Is Photonic

Computing with light could slash the energy needs of neural networks

10 min read
Image of a computer rendering.

This computer rendering depicts the pattern on a photonic chip that the author and his colleagues have devised for performing neural-network calculations using light.

Alexander Sludds

Think of the many tasks to which computers are being applied that in the not-so-distant past required human intuition. Computers routinely identify objects in images, transcribe speech, translate between languages, diagnose medical conditions, play complex games, and drive cars.

The technique that has empowered these stunning developments is called deep learning, a term that refers to mathematical models known as artificial neural networks. Deep learning is a subfield of machine learning, a branch of computer science based on fitting complex models to data.

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