QuBound uses historical performance traces decomposed into trend and residual to train an LSTM that predicts tight, fast performance bounds for quantum circuits under time-varying noise.
Quantum-centric supercomputing: The nex t wave of computing,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
quant-ph 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Computational Performance Bounds Prediction in Quantum Computing with Unstable Noise
QuBound uses historical performance traces decomposed into trend and residual to train an LSTM that predicts tight, fast performance bounds for quantum circuits under time-varying noise.