106 citations · 500 across the 18 of their papers we have counts for
6 papers · 2 filters
Simple master equations for describing driven systems subject to classical non-Markovian noise
Peter Groszkowski, Alireza Seif, Jens Koch +1
Driven quantum systems subject to non-Markovian noise are typically difficult to model even if the noise is classical. We present a systematic method based on generalized cumulant…
The learnability of Pauli noise
Senrui Chen, Yunchao Liu, Matthew Otten +3
Recently, several quantum benchmarking algorithms have been developed to characterize noisy quantum gates on today's quantum devices. A well-known issue in benchmarking is that not…
Distributed quantum error correction for chip-level catastrophic errors
Qian Xu, Alireza Seif, Haoxiong Yan +5
Quantum error correction holds the key to scaling up quantum computers. Cosmic ray events severely impact the operation of a quantum computer by causing chip-level catastrophic err…
Tailored XZZX codes for biased noise
Qian Xu, Nam Mannucci, Alireza Seif +3
Quantum error correction (QEC) for generic errors is challenging due to the demanding threshold and resource requirements. Interestingly, when physical noise is biased, we can tail…
Shadow Distillation: Quantum Error Mitigation with Classical Shadows for Near-Term Quantum Processors
Alireza Seif, Ze-Pei Cian, Sisi Zhou +2
Mitigating errors in quantum information processing devices is especially important in the absence of fault tolerance. An effective method in suppressing state-preparation errors i…
Surviving The Barren Plateau in Variational Quantum Circuits with Bayesian Learning Initialization
Ali Rad, Alireza Seif, Norbert M. Linke
Variational quantum-classical hybrid algorithms are seen as a promising strategy for solving practical problems on quantum computers in the near term. While this approach reduces t…