activity
20192024
most citedMachine-learning-accelerated Bose-Einstein condensation

36 citations · 55 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2024

Site-selective cavity readout and classical error correction of a 5-bit atomic register

Beili Hu, Josiah Sinclair, Edita Bytyqi +5

Optical cavities can provide fast and non-destructive readout of individual atomic qubits; however, scaling up to many qubits remains a challenge. Using locally addressed excited-s…

physics.optics2023

Degradation of TaO / SiO Dielectric Cavity Mirrors in Ultra-High Vacuum

Alyssa Rudelis, Beili Hu, Josiah Sinclair +6

In order for optical cavities to enable strong light-matter interactions for quantum metrology, networking, and scalability in quantum computing systems, their mirrors must have mi…

physics.atom-ph2022★ 36 cited

Machine-learning-accelerated Bose-Einstein condensation

Zachary Vendeiro, Joshua Ramette, Alyssa Rudelis +5

Machine learning is emerging as a technology that can enhance physics experiment execution and data analysis. Here, we apply machine learning to accelerate the production of a Bose…

quant-ph2021

Any-to-any connected cavity-mediated architecture for quantum computing with trapped ions or Rydberg arrays

Joshua Ramette, Josiah Sinclair, Zachary Vendeiro +3

We propose a hardware architecture and protocol for connecting many local quantum processors contained within an optical cavity. The scheme is compatible with trapped ions or Rydbe…

cond-mat.quant-gas2019★ 19 cited

Strongly Correlated Quantum Gas Prepared by Direct Laser Cooling

Pablo Solano, Yiheng Duan, Yu-Ting Chen +3

We create a one-dimensional strongly correlated quantum gas of Cs atoms with attractive interactions by direct laser cooling in 300~ms. After compressing and cooling the op…