317 citations · 725 across the 19 of their papers we have counts for
19 papers
Mechanical Sensors for Ultraheavy Dark Matter Searches via Long-range Forces
Juehang Qin, Dorian W. P. Amaral, Sunil A. Bhave +10
Dark matter candidates with masses around the Planck-scale are theoretically well-motivated, and it has been suggested that it might be possible to search for dark matter solely vi…
Variational optical phase learning on a continuous-variable quantum compiler
Matthew A. Feldman, Tyler Volkoff, Seongjin Hong +5
Quantum process learning is a fundamental primitive that draws inspiration from machine learning with the goal of better studying the dynamics of quantum systems. One approach to q…
Quantum enhanced distributed phase sensing with a truncated SU(1,1) interferometer
Seongjin Hong, Matthew A. Feldman, Claire E. Marvinney +5
In recent years, distributed quantum sensing has gained interest for a range of applications requiring networks of sensors, from global-scale clock synchronization to high energy p…
Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions
Yuri Alexeev, Maximilian Amsler, Paul Baity +124
Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…
Quantum Enhanced Probes of Magnetic Circular Dichroism
Chengyun Hua, Claire E. Marvinney, Seongjin Hong +7
Magneto-optical microscopies, including optical measurements of magnetic circular dichroism, are increasingly ubiquitous tools for probing spin-orbit coupling, charge-carrier g-fac…
Combining quantum noise reduction resources: a practical approach
Sohitri Ghosh, Matthew A. Feldman, Seongjin Hong +4
Optomechanical sensors are capable of transducing external perturbations to resolvable optical signals. A particular regime of interest is that of high-bandwidth force detection, w…