143 citations
- University of California SystemUS2 papers
- AID AtlantaUS1 paper
- American International CollegeUS1 paper
- Beihang UniversityCN1 paper
- Beijing Advanced Sciences and Innovation CenterCN1 paper
- Bioengineering CenterRU1 paper
- California Southern UniversityUS1 paper
- California State University Los AngelesUS1 paper
- Central Michigan UniversityUS1 paper
- Chinese University of Hong KongHK1 paper
- Department of Physics, Mathematics and InformaticsBY1 paper
- Duke UniversityUS1 paper
8 papers
Fundamental Limits of Quantum Sensors for Gravitational Wave Detection
Sergio Gaudio
Recent advances in quantum sensing---optical clocks, frequency-dependent squeezing below the standard quantum limit, and quantum magnetometers---raise a natural question: can these…
Machine Learning-Based Detection and Analysis of Suspicious Activities in Bitcoin Wallet Transactions in the USA
Md Zahidul Islam, Md Shahidul Islam, Biswajit Chandra das +6
The dramatic adoption of Bitcoin and other cryptocurrencies in the USA has revolutionized the financial landscape and provided unprecedented investment and transaction efficiency o…
Magnetic Skyrmions for Unconventional Computing
Sai Li, Wang Kang, Xichao Zhang +4
Improvements in computing performance have significantly slowed down over the past few years owing to the intrinsic limitations of computing hardware. However, the demand for data…
Vacancies in graphene: an application of adiabatic quantum optimization
Virginia Carnevali, Ilaria Siloi, Rosa Di Felice +1
Quantum annealers have grown in complexity to the point that quantum computations involving few thousands of qubits are now possible. In this paper, \textcolor{black}{with the inte…
Dipole-phonon quantum logic with alkaline-earth monoxide and monosulfide cations
Michael Mills, Hao Wu, Evan C. Reed +6
Dipole-phonon quantum logic (DPQL) leverages the interaction between polar molecular ions and the motional modes of a trapped-ion Coulomb crystal to provide a potentially scalable…
Label-free detection of Giardia lamblia cysts using a deep learning-enabled portable imaging flow cytometer
Zoltan Gorocs, David Baum, Fang Song +8
We report a field-portable and cost-effective imaging flow cytometer that uses deep learning to accurately detect Giardia lamblia cysts in water samples at a volumetric throughput…