Publications
Showing 27 results for Author: Claire E. Marvinney
Aug, 2026
Journal
Variational Optical Phase Learning on a Continuous-Variable Quantum Compiler
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 quantum process learning is quantum compilation, whereby an analog quantum operation is digitized by compiling it into a series of basic gates. While there has been significant focus on quantum co…
Mar, 2026
Conference Paper
Quantum-Enhanced Multi-Phase Distributed Sensing with a tSU(1,1) Interferometer
We demonstrate the detection of a linear superposition of two distributed phases with a 1.7 dB quantum noise reduction using a tSU(1,1) interferometer. We extend the system theoretically to a multi-phase distributed sensing scheme.
Mar, 2026
Conference Paper
Quantum Advantage in Phase Unitary Learning with a Continuous-Variable Quantum Compiler
We demonstrate a continuous-variable quantum compiler with 3.6-fold faster convergence and 5.4-fold enhanced precision for optical phase unitary learning, highlighting the advantages of squeezing in learning the dynamics of quantum systems.
Mar, 2026
Conference Paper
A Continuous Variable Quantum Compiler
We implement a continuous-variable quantum compiler that can learn a linear phase operation with a fourfold increase in precision and a factor of 80 reduction in time to solution when quantum resources are used.
Oct, 2025
Journal
Mechanical sensors for ultraheavy dark matter searches via long-range forces
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 via gravitational interactions in this mass range. In this work, we explore the pathway towards searching for dark matter candidates with masses around the Planck scale using mechanical sensors whi…
Aug, 2025
Journal
Combining quantum noise reduction resources: A practical approach
Optomechanical sensors are capable of transducing external perturbations to resolvable optical signals. A particular regime of interest is that of high-bandwidth force detection, where an impulse is delivered to the system over a short period of time. Exceedingly sensitive impulse detection has been proposed to observe very weak signals like those due to long-range interac…
Jun, 2025
Journal
Quantum-enhanced distributed phase sensing with a truncated SU(1,1) interferometer
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 physics. In particular, a network of entangled sensors can improve not only the sensitivity beyond the shot noise limit, but also enable a Heisenberg scaling with the number of sensors. Here, usin…
Jul, 2024
Journal
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions
Computational models are an essential tool for the design, characterization, and discovery of novel materials. Computationally hard tasks in materials science stretch the limits of existing high-performance supercomputing centers, consuming much of their resources for simulation, analysis, and data processing. Quantum computing, on the other hand, is an emerging technology…
Dec, 2023
Conference Paper
Spin-phonon interactions in Quantum Spin Liquid Candidate α-RuCl3
We study spin-phonon interactions in quantum spin liquid candidate RuCl3 under magnetic fields of up to 6T and mK temperatures with polarization-resolved Raman spectroscopy.
Dec, 2023
Journal
Observation of Unconventional Charge Density Wave without Acoustic Phonon Anomaly in Kagome Superconductors AV3Sb5 (A=Rb, Cs)
The combination of nontrivial band topology and symmetry-breaking phases gives rise to novel quantum states and phenomena such as topological superconductivity, quantum anomalous Hall effect, and axion electrodynamics. Evidence of intertwined charge density wave (CDW) and superconducting order parameters has recently been observed in a novel kagome material AV3Sb5 (A=K, Rb…
Dec, 2023
Journal
Magneto-Optical Sensing Beyond the Shot Noise Limit
Magneto-optical sensors including spin noise spectroscopies and magneto-optical Kerr effect microscopies are now ubiquitous tools for materials characterization that can provide new understanding of spin dynamics, hyperfine interactions, spin-orbit interactions, and charge-carrier g-factors. Both interferometric and intensity-difference measurements can provide photon-shot…