Impact of Data Augmentation on QCNNs

no code implementations • 1 Dec 2023 • Leting Zhouli, Peiyong Wang, Udaya Parampalli

Quantum Convolutional Neural Networks (QCNNs) are proposed as a novel generalization to CNNs by using quantum mechanisms.

Data Augmentation Learning Theory +1

Automated Quantum Circuit Design with Nested Monte Carlo Tree Search

1 code implementation • 1 Jul 2022 • Pei-Yong Wang, Muhammad Usman, Udaya Parampalli, Lloyd C. L. Hollenberg, Casey R. Myers

Quantum algorithms based on variational approaches are one of the most promising methods to construct quantum solutions and have found a myriad of applications in the last few years.

Empirically Analyzing Ethereum's Gas Mechanism

1 code implementation • 2 May 2019 • Renlord Yang, Toby Murray, Paul Rimba, Udaya Parampalli

Finally, our results suggest that under the current Gas cost model, nodes with modest computational resources are disadvantaged compared to their better resourced peers, which we identify as an ongoing threat to node diversity and network decentralization.

Cryptography and Security Performance