1 citations · 1 across the 4 of their papers we have counts for
4 papers
Sequence and Image Transformations with Monarq: Quantum Implementations for NISQ Devices
Jan Balewski, Roel Van Beeumen, E. Wes Bethel +1
We introduce Monarq, a unified quantum data processing framework that combines QCrank encoding with the EHands protocol for polynomial transformations, and demonstrate its implemen…
Multi-Resolution Model Fusion for Accelerating the Convolutional Neural Network Training
Kewei Wang, Claire Songhyun Lee, Sunwoo Lee +8
Neural networks are rapidly gaining popularity in scientific research, but training the models is often very time-consuming. Particularly when the training data samples are large h…
First-principle crosstalk dynamics and Hamiltonian learning via Rabi experiments
Jan Balewski, Adam Winick, Yilun Xu +5
Coherent errors constitute a significant barrier to successful large-scale quantum computation. One such error mechanism is crosstalk, which violates spatial locality or the indepe…
ML-Powered FPGA-based Real-Time Quantum State Discrimination Enabling Mid-circuit Measurements
Neel R. Vora, Yilun Xu, Akel Hashim +12
Accurate and timely quantum state discrimination is critical for quantum computing, particularly in protocols requiring mid-circuit measurement (MCM) and conditional feed-forward.…