Noise-agnostic quantum error mitigation with data augmented neural models
Quantum error mitigation, a data processing technique for recovering the statistics of target processes from their noisy version, is a crucial task…
Category: Quantum information
Faster-than-Clifford simulations of entanglement purification circuits and their full-stack optimization
Generating quantum entanglement is plagued by decoherence. Distillation and error-correction are employed against such noise, but designing a good …
Parallel circuit implementation of variational quantum algorithms
We present a framework to split quantum circuits of variational quantum algorithms (VQAs) to allow for parallel training and execution to solve pro…