News

Mon November 21, 2022

Changhao Li Wins 2022 Peake Prize Award

Cappellaro Group member Changhao Li wins 2022 Peake Prize.

News type:

Awards

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...

News type:

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...

News type:

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....

News type:

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...

News type:

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...

News type:

Research Highlights

Mon November 14, 2022

Quantum Mechanics Intertwines Symmetries: how to study deconfined quantum criticality using analog quantum simulators

With rapid advances in our experimental capability to perform quantum simulations, it is also important to ask what interesting physical phenomena we would like to explore. One interesting direction is the realization of deconfined quantum criticality (DQC), a concept central to the modern understanding of various quantum phase transitions yet experimentally unobserved phenomena. In conventional...

News type:

Research Highlights

Thu November 10, 2022

First demonstration of scaling speedup in solving an optimization problem on a programmable quantum simulator

An international collaboration of physicists and computer scientists led by the Harvard-MIT CUA Professors Lukin, Greiner, and Vuletic demonstrated an important milestone in the broad effort to realize practical quantum advantage. The researchers used a programmable Rydberg atom array quantum simulator with up to 289 qubits to solve classically hard combinatorial optimization problems. They used...

News type:

Research Highlights

Fri September 30, 2022

Edwin Eduardo Pedrozo Peñafiel is the winner of the 2022 Alejandro Angel Escobar National Award in Exact, Physical and Natural Sciences

Edwin Eduardo Pedrozo Peñafiel obtains this award among other reasons because the evaluating jurors considered that his research: The search for new Physics with Entanglement-Enhanced Optical Atomic Clocks is “a scientific advance in the frontier of physics that will revolutionize the precision of sensors and synchronization of computational processes.” They present this award “to a promising researcher who...

News type:

Awards