8 citations · 9 across the 4 of their papers we have counts for
4 papers
Hardware-Aware Compilation and Execution of Bivariate Bicycle Codes on Neutral-Atom Systems
Jason Ludmir, Aditya Ranjan, Nicholas S. DiBrita +2
Quantum computers are noisy; without quantum error correction (QEC), deep programs fail as qubits lose information due to decoherence. Among QEC approaches, bivariate bicycle (BB)…
OrganiQ: Mitigating Classical Resource Bottlenecks of Quantum Generative Adversarial Networks on NISQ-Era Machines
Daniel Silver, Tirthak Patel, Aditya Ranjan +2
Driven by swift progress in hardware capabilities, quantum machine learning has emerged as a research area of interest. Recently, quantum image generation has produced promising re…
SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers
Daniel Silver, Tirthak Patel, Aditya Ranjan +3
Exploration into quantum machine learning has grown tremendously in recent years due to the ability of quantum computers to speed up classical programs. However, these efforts have…
MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers
Daniel Silver, Tirthak Patel, William Cutler +3
Quantum machine learning and vision have come to the fore recently, with hardware advances enabling rapid advancement in the capabilities of quantum machines. Recently, quantum ima…