51 citations · 117 across the 36 of their papers we have counts for
9 papers · 1 filter
Derandomized shallow shadows: Efficient Pauli learning with bounded-depth circuits
Katherine Van Kirk, Christian Kokail, Jonathan Kunjummen +7
Efficiently estimating large numbers of non-commuting observables is an important subroutine of many quantum science tasks. We present the derandomized shallow shadows (DSS) algori…
Efficiently measuring -wave pairing and beyond in quantum gas microscopes
Daniel K. Mark, Hong-Ye Hu, Joyce Kwan +3
Understanding the mechanism of high-temperature superconductivity is among the most important problems in physics, for which quantum simulation can provide new insights. However, i…
Extending Quantum Perceptrons: Rydberg Devices, Multi-Class Classification, and Error Tolerance
Ishita Agarwal, Taylor L. Patti, Rodrigo Araiza Bravo +2
Quantum Neuromorphic Computing (QNC) merges quantum computation with neural computation to create scalable, noise-resilient algorithms for quantum machine learning (QML). At the co…
Emergent disorder and sub-ballistic dynamics in quantum simulations of the Ising model using Rydberg atom arrays
Ceren B. Dag, Hanzhen Ma, P. Myles Eugenio +2
Rydberg atom arrays with Van der Waals interactions provide a controllable path to simulate the locally connected transverse-field Ising model (TFIM), a prototypical model in stati…
Simulating quantum chaos without chaos
Andi Gu, Yihui Quek, Susanne Yelin +2
Quantum chaos is a quantum many-body phenomenon that is associated with a number of intricate properties, such as level repulsion in energy spectra or distinct scalings of out-of-t…
Deterministic generation of photonic entangled states using decoherence-free subspaces
Oriol Rubies-Bigorda, Stuart J. Masson, Susanne F. Yelin +1
We propose the use of collective states of matter as a resource for the deterministic generation of quantum states of light, which are fundamental for quantum information technolog…
Efficient Measurement-Driven Eigenenergy Estimation with Classical Shadows
Yizhi Shen, Alex Buzali, Hong-Ye Hu +4
Quantum algorithms exploiting real-time evolution under a target Hamiltonian have demonstrated remarkable efficiency in extracting key spectral information. However, the broader po…
Symmetry based efficient simulation of dissipative quantum many-body dynamics in subwavelength quantum emitter arrays
Raphael Holzinger, Oriol Rubies-Bigorda, Susanne F. Yelin +1
We propose an efficient method to numerically simulate the dissipative dynamics of large numbers of quantum emitters in ordered arrays in the presence of long-range dipole-dipole i…
Circumventing Traps in Analog Quantum Machine Learning Algorithms Through Co-Design
Rodrigo Araiza Bravo, Jorge Garcia Ponce, Hong-ye Hu +1
Quantum machine learning QML algorithms promise to deliver near-term, applicable quantum computation on noisy, intermediate-scale systems. While most of these algorithms leverage q…