Research News

In a new paper, we demonstrate interactions between vapor-phase Rb atoms and an integrated photonic microresonator down to the few-atom, few-photon level.

In radio frequency technologies, the Chu Limit presents a significant challenge for small antennas, particularly at low frequencies where their performance is constrained.

Atomic quantum sensors (e.g. clocks, magnetometers, electrometers, inertial sensors, etc.) are being used to solve real-world problems including global positioning, imaging of biological systems, and geodesy, with new applications continually emerging. The breadth of the atomic sensor design space is daunting, since one may utilize any combination of atomic states, lasers, rf fields, time-dependence, atomic nonlinearities, lasercooling and trapping, and Rydberg states.

RQS senior investigator Daniel Gottesman is part of a team of current and former researchers at Perimeter Institute exploring a new universal boundary that separates ‘nontrivial’ quantum error-correction codes from the rest.

Recent work uses a quantum sensor to simultaneously receive five radio-frequency (RF) signals covering 120 gigahertz (GHz) of the electromagnetic spectrum. This demonstration expands the boundaries of wireless communications, highlighting a unique capability difficult to achieve with other technologies.

In a recent paper, RQS researchers Zohreh Davoudi and Alexey Gorshkov collaborated with others to present a novel simulation method, discussing what insights the simulations might provide about the creation of particles during energetic collisions.

Zohreh Davoudi is collaborating with experts in quantum computing technologies to ensure that the relevant problems in her fields of nuclear and particle physics are poised to reap the benefits when quantum simulations mature. Davoudi along with JQI Fellow Alexey Gorshkov and other colleagues proposed a quantum simulation that might be possible to implement soon. They proposal involves using superconducting circuits to simulate a simplified model of collisions between fundamental particles called quarks and mesons (which are themselves made of quarks and antiquarks).

In new work, researchers at JQI have combined two lines of research into a new method for generating frequency combs.

They are developing a new concept built on quantum spherical codes that could make the notoriously fragile information in a photon-based quantum computer less susceptible to errors.

Physicists are exploring the opportunities that arise when the power of machine learning—a widely used approach in AI research—is brought to bear on quantum physics. Quantum physics often needs a description that approximately describes many interacting quantum particles. Two researchers at JQI presented new mathematical tools that will help researchers use machine learning to get such approximations and have identified new opportunities in quantum research where machine learning can be applied.