Princeton Researchers Reveal Microscopic Quantum Correlations of Ultracold Molecules

February 2, 2023

Feb. 2, 2023 — Physicists are increasingly using ultracold molecules to study quantum states of matter. Many researchers contend that molecules have advantages over other alternatives, such as trapped ions, atoms or photons. These advantages suggest that molecular systems will play important roles in emerging quantum technologies. But, for a while now, research into molecular systems has advanced only so far because of long-standing challenges in preparing, controlling and observing molecules in a quantum regime.

Members of the Princeton research team. Front row (from left to right) Dr. Zoe Yan, Lysander Christakis, Jason Rosenberg. Back row (from left to right) Ravin Raj, Prof. Waseem Bakr, Prof. David Huse. Photo Credit: Richard Soden, Princeton Department of Physics.

Now, as chronicled in a recent paper in Nature, Princeton researchers have achieved a major breakthrough by microscopically studying molecular gases at a level never before achieved by previous research. The Princeton team, led by Waseem Bakr, associate professor of physics, was able to cool molecules down to ultracold temperatures, load them into an artificial crystal of light known as an optical lattice, and study their collective quantum behavior with high spatial resolution such that each individual molecule could be observed.

“We prepared the molecules in the gas in a well-defined internal and motional quantum state. The strong interactions between the molecules gave rise to subtle quantum correlations which we were able to detect for the first time,” said Bakr.

This experiment has profound implications for fundamental physics research, such as the study of many-body physics, which looks at the emergent behavior of ensembles of interacting quantum particles. The research also might accelerate the development of large-scale quantum computer systems.

In the quest to build large-scale quantum systems, both for quantum computing and for more general scientific applications, researchers have used a variety of different alternatives—everything from trapped ions and atoms to electrons confined in “quantum dots.” The goal is to transform these various alternatives into what are called qubits, which are the building blocks of a quantum computer system. Quantum computers have much greater computing power and capacity—exponentially greater—than classical computer systems, and can solve problems classical computers have difficulty solving.

Although so far no single type of qubit has emerged as the front-runner, Bakr and his team believe that molecular systems, while less explored than other platforms, hold particular promise.

One important advantage of using molecules in experimental settings—and especially as potential qubits—is the fact that molecules can store quantum information in an abundance of new ways not available to single atoms. For example, even for a simple molecule made of just two atoms, which can be visualized as a tiny dumbbell, quantum information can be stored in the rotational motion of the dumbbell or the shaking of its constituent atoms relative to each other. Another advantage of molecules is that they often have long-range interactions; they can interact with other molecules many sites away in an optical lattice, whereas atoms, for example, can only interact if they occupy the same site.

When using molecules to study many-body physics, these advantages are expected to enable researchers to explore fascinating new quantum phases of matter in these synthetic systems. However, a major problem, which Bakr and his team have been able to overcome in this experiment, is the microscopic characterization of these quantum states.

“The ability to probe the gas at the level of individual molecules is the novel aspect of our research,” said Bakr. “When you’re able to look at individual molecules, you can extract a lot more information about the many-body system.”

What Bakr means by extracting more information is the ability to observe and document the subtle correlations that characterize molecules in a quantum state—for example, correlations of their positions in the lattice or their rotational states.

“Researchers had prepared molecules in the ultracold regime before, but they couldn’t measure their correlations because they couldn’t see the single molecules,” said Jason Rosenberg, a graduate student in Princeton’s Department of Physics and the co-lead author of the paper. “By seeing each individual molecule, we can really characterize and explore the different quantum phases that are expected to emerge.”

While researchers have been studying many-body physics with atomic quantum gases for over two decades, molecular quantum gases have been much harder to tame. Unlike atoms, molecules can store energy by vibrating and rotating in many different ways. These various excitations are known as “degrees of freedom”—and their abundance is the characteristic that makes molecules difficult to control and manipulate experimentally.

“In order to study molecules in a quantum regime, we need to control all their degrees of freedom and place them in a well-defined quantum mechanical state,” said Bakr.

The researchers used a novel microscopy apparatus to probe the quantum state of individual ultracold molecules in an optical lattice and measure quantum correlations arising from interactions between them. Image created by Lysander Christakis, Princeton Department of Physics.

The researchers accomplished this precise level of control by first cooling two atomic gases of sodium and rubidium down to incredibly low temperatures that are measured in nanokelvins, or temperatures one-billionth of a degree Kelvin. At these ultracold temperatures, each of the two gases transition into a state of matter known as a Bose-Einstein condensate. In this ultracold environment, the researchers coax the atoms into pairing up into sodium-rubidium molecules in a well-defined internal quantum state. Then they use lasers to transfer the molecules into their absolute ground state where all rotations and vibrations of the molecules are frozen.

To maintain the quantum behavior of the molecules, they are isolated in a vacuum chamber and held in an optical lattice made of standing waves of light.

“We interfere a set of laser beams together and, from this, we create a corrugated landscape resembling an ‘egg carton’ in which the molecules sit,” said Rosenberg.

In the experiment, the researchers captured about one hundred molecules in this “egg carton” lattice. Then the researchers pushed the system out of equilibrium—and tracked what happened in the strongly interacting system.

“We gave the system a sudden ‘nudge,’” said Lysander Christakis, a graduate student and co-lead author of the paper. “We allowed the molecules to interact and build up quantum entanglement. This entanglement is reflected in subtle correlations, and the ability to probe the system at this microscopic level allows us to reveal these correlations—and learn about them.”

Entanglement is one of the most fascinating—and perplexing— properties of many-body quantum states. It describes a property of the subatomic world in which quantum elements—whether molecules, electrons, photons, or whatever—become inextricably linked with each other no matter the distance separating them. Entanglement is especially significant in quantum computing because it acts as a sort of computational multiplier. It is the crucial ingredient underlying the exponential speedup in solving problems with quantum computers.

The unparalleled control the researchers achieved in preparing and detecting the molecules has clear implications for quantum computing. But the researchers emphasize that, ultimately, the experiment is not necessarily about creating the most advanced qubits. Rather, it is, most importantly, a huge step forward in fundamental physics research.

“This research opens up a lot of possibilities to study really interesting problems in many-body physics,” said Christakis. “What we’ve demonstrated here is a complete platform for using ultracold molecules as a system to study complex quantum phenomena.”

Rosenberg concurred. “In this experiment, the molecules were frozen into individual sites on the lattice and quantum information was only stored in the rotational states of the molecules. Moving forward, it will be exciting to explore a whole other realm of interesting phenomena that appear when you allow the molecules to ‘hop’ from site to site. Our research has opened the door to investigating ever more exotic states of matter that can be prepared with these molecules, and now we can characterize them very well,” he concluded.

Other members of the Princeton team are graduate student Ravin Raj; Postdoctoral Research Fellow Zoe Yan; undergraduate Sungjae Chi; and theorists Alan Morningstar, postdoctoral fellow at Stanford University and David Huse, Princeton’s Cyrus Fogg Brackett Professor of Physics. The research was supported by the National Science Foundation and the David and Lucile Packard Foundation.

The study, “Probing site-resolved correlations in a spin system of ultracold molecules,” by Lysander Christakis, Jason S. Rosenberg, Ravin Raj, Sungjae Chi, Alan Morningstar, David A. Huse, Zoe Z. Yan, and Waseem S. Bakr was published online in Nature, on February 1, 2023. DOI: 10.1038/s41586-022-05558-4.


Source: Tom Garlinghouse, Princeton University

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Point. The system includes Intel's research chip called Loihi 2, Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Research senior analyst Steve Conway, who closely tracks HPC, AI, Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Poin Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire