Quantum Enhanced Impulse Measurements and Their Applications in Searches for Dark Matter
Optomechanical systems have enabled a variety of novel sensors that transduce an external force on a mechanical sensor to an optical signal which can be read out through different measurement techniques. Based on recent advances in these sensing technologies, we suggest that heavy dark matter candidates around the Planck mass range could be detected solely through their gravitational interaction.
Phase Transitions in Random Quantum Circuits
Random Circuits have emerged as an invaluable tool in the quantum mechanics’ toolkit. On one hand, the task of sampling outputs from a random circuit has established itself as a leading contender to experimentally demonstrate the intrinsic superiority of quantum computers using near-term, noisy platforms. On the other hand, random circuits have also been used to deduce far-reaching conclusions about the theoretical foundations of quantum information and communication.
Quantum Simulation and Dynamics with Synthetic Quantum Matter
Significant advancements in controlling and manipulating individual quantum degrees of freedom have paved the way for the development of programmable strongly-interacting quantum many-body systems. Quantum simulation emerges as one of the most promising applications of these systems, offering insights into complex natural phenomena that would otherwise be difficult to explore.
Usman Javid
Usman Javid is a postdoctoral researcher working at UMD and NIST. He received a B.S. in Electrical Engineering from National University of Sciences and Technology in Pakistan. He earned a PhD in Optics from University of Rochester. His dissertation focused on developing optical quantum simulation tools on the lithium niobate nanophotonic platform. Currently, he is working nonlinear wave-mixing interactions on chips. including optical frequency combs for clockwork operations and parametric oscillators.
Optical quantum memory with processing capabilities
Abstract: Optical quantum memories can be used for storage or generation and subsequent retrieval of quantum light for the purpose of long-distance quantum communication. However, it is beneficial to consider more functions of quantum memories, which may then become parts of more complex hybrid quantum networks. In my works I have demonstrated protocols for spin-wave processing based on interference in multiplexed optical quantum memories [1,2].
On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks
Classical algorithms are often not effective for solving nonconvex optimization problems where local minima are separated by high barriers. In this paper, we explore possible quantum speedups for nonconvex optimization by leveraging the global effect of quantum tunneling. Specifically, we introduce a quantum algorithm termed the quantum tunneling walk (QTW) and apply it to nonconvex problems where local minima are approximately global minima.