News: Research Highlights

Wed February 15, 2023

Engineers discover a new way to control atomic nuclei as “qubits”

In principle, quantum-based devices such as computers and sensors could vastly outperform conventional digital technologies for carrying out many complex tasks. But developing such devices in practice has been a challenging problem despite great investments by tech companies as well as academic and government labs. Today’s biggest quantum computers still only have a few hundred...
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News type:
Research Highlights
Wed February 1, 2023

Physicists observe rare resonance in molecules for the first time

If she hits just the right pitch, a singer can shatter a wine glass. The reason is resonance. While the glass may vibrate slightly in response to most acoustic tones, a pitch that resonates with the material’s own natural frequency can send its vibrations into overdrive, causing the glass to shatter. Resonance also occurs at...
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Research Highlights
Tue November 22, 2022

Quantum entanglement between ultracold molecules in optical tweezer array

Molecular tweezer arrays provide a powerful and versatile platform for quantum computing and simulation applications. This is due to the long coherence time, strong dipole-dipole couplings between neighboring polar molecules, and single-site addressability in the system. Recently, by using the rotational states of single CaF molecules trapped in individual tweezers as effective qubits, we have...
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Research Highlights
Mon November 21, 2022

CUA researchers develop a new quantum processor with dynamic, nonlocal connectivity, utilizing the coherent transport of entangled atom arrays

The Harvard-MIT CUA collaboration led by Lukin, Greiner, and Vuletic reported a new architecture for quantum information processing using the coherent transport of neutral atoms in an optical tweezer array. This new processor has the unique capability of dynamic, nonlocal connectivity, enabling new types of quantum computations where any two qubits can be entangled, even...
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Research Highlights
Mon November 21, 2022

Mining valuable insights from diamonds

If Changhao Li were to trace the origins of his love of nature, he would point to the time when he was 9, observing the night sky from his childhood home in the small town of Jinan, China. “At that moment I felt that nature is so beautiful, I just wanted to go outside the...
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Research Highlights
Sun November 20, 2022

Communication-efficient quantum algorithm for distributed machine learning

Distributed machine learning has attracted great attention as a method to deal with large-scale or distributed data. In distributed machine learning, the required communication between different machines quantified by communication complexity is one of the critical factors in determining an algorithm’s performance. Therefore, developing communication-efficient algorithms is important for distributed machine learning applications when the...
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Research Highlights
Sun November 20, 2022

Quantum sensor can detect arbitrary frequency electromagnetic signals

Quantum sensing is essential in tasks ranging from characterization of quantum devices, to exploration of magnetism in condensed matter, to imaging of microwave structures. Current quantum sensors have achieved excellent performance combining high sensitivity with spatial resolution. However, the frequency range of the signal fields that can be measured is still limited to either a...
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Research Highlights
Sun November 20, 2022

Photonic Circuits to Program Atoms at Scale

How do we control large numbers of qubits? This is a question being asked across quantum information science, including for atomic qubits. Unlike other varieties of qubits—such as superconducting qubits, where control signals are primarily electrical—atomic qubits are controlled by beams of light. Individual control over each atomic qubit requires modulating many individual optical beams....
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Research Highlights
Sun November 20, 2022

Brain-inspired quantum machine learning for decision-making, entanglement witnessing, time-reversal

Quantum computing promises to enhance machine learning algorithms. However, implementing these advantages often relies on either fault-tolerant quantum computers not yet available, or on decoherence-limited, variational quantum circuits which may experience training bottlenecks. Thus, currently available noisy intermediate-scale quantum (NISQ) devices thwart quantum advantages in machine learning algorithms. Recently, quantum machine learning architectures have emerged...
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Research Highlights
Mon November 14, 2022

Benchmarking quantum devices based on fingerprints of quantum chaos

We have developed a new method to quantify the performance of analog quantum simulators, using insights from quantum chaos.  The state fidelity quantifies the closeness of two quantum states. While theoretically simple, the fidelity is difficult to measure in experiments since most conventional approaches require sophisticated controls not accessible in existing devices. CUA researchers and...
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News type:
Research Highlights