Distributed-Training

DistributedEstimator: Distributed Training of Quantum Neural Networks via Circuit Cutting

• Circuit cutting splits large quantum circuits into smaller subcircuits, enabling classical reconstruction of expectation values. • Prior studies focused on subcircuit counts and

Enhancing Neural Network Training at Yelp: Achieving 1,400x Speedup with WideAndDeep

• Reduced pCTR model training from 75 hours/epoch on 450M samples to under 1 hour on 2B samples. • Built ArrowStreamServer, an in‑house low‑latency Parquet streaming library, repla