8 citations · 11 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
Toward Privacy in Quantum Program Execution On Untrusted Quantum Cloud Computing Machines for Business-sensitive Quantum Needs
Tirthak Patel, Daniel Silver, Aditya Ranjan +3
Quantum computing is an emerging paradigm that has shown great promise in accelerating large-scale scientific, optimization, and machine-learning workloads. With most quantum compu…