activity
20122026
most citedMechanical Quantum Sensing in the Search for Dark Matter

129 citations · 435 across the 21 of their papers we have counts for

collaborators

22 papers

quant-ph2026

Emergent classicality and wavefunction branching in an isolated quantum many-body system

Saúl Pilatowsky-Cameo, Jordan Cotler, Daniel Ranard +1

Decoherence in quantum systems is conventionally modeled as the effect of interactions with an external environment. However, such a prescription excludes isolated many-body system…

math-ph2023★ 5 cited

Classical correspondence beyond the Ehrenfest time for open quantum systems with general Lindbladians

Felipe Hernández, Daniel Ranard, C. Jess Riedel

Quantum and classical systems evolving under the same formal Hamiltonian may dramatically differ after the Ehrenfest timescale , even as $\hbar \to 0…

quant-ph2023★ 1 cited

Ehrenfest's theorem beyond the Ehrenfest time

Felipe Hernández, Daniel Ranard, C. Jess Riedel

In closed quantum systems, wavepackets can spread exponentially in time due to chaos, forming long-range superpositions in just seconds for ordinary macroscopic systems. A weakly c…

quant-ph2023

A spin-energy operator inequality for Heisenberg-coupled qubits

Daniel Ranard, C. Jess Riedel

We slightly strengthen an operator inequality identified by Correggi et al. that lower bounds the energy of a Heisenberg-coupled graph of spins using the total spin. In par…

quant-ph2022★ 2 cited

MAQRO -- BPS 2023 Research Campaign Whitepaper

Rainer Kaltenbaek, Markus Arndt, Markus Aspelmeyer +43

The objective of the proposed MAQRO mission is to harness space for achieving long free-fall times, extreme vacuum, nano-gravity, and cryogenic temperatures to test the foundations…

cs.CL2021★ 5 cited

RAFT: A Real-World Few-Shot Text Classification Benchmark

Neel Alex, Eli Lifland, Lewis Tunstall +9

Large pre-trained language models have shown promise for few-shot learning, completing text-based tasks given only a few task-specific examples. Will models soon solve classificati…