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20182023
most citedEfficient Long-Range Entanglement using Dynamic Circuits

106 citations · 203 across the 9 of their papers we have counts for

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quant-ph2023★ 106 cited

Efficient Long-Range Entanglement using Dynamic Circuits

Elisa Bäumer, Vinay Tripathi, Derek S. Wang +5

Quantum simulation traditionally relies on unitary dynamics, inherently imposing efficiency constraints on the generation of intricate entangled states. In principle, these limitat…

quant-ph2023★ 19 cited

Uncovering Local Integrability in Quantum Many-Body Dynamics

Oles Shtanko, Derek S. Wang, Haimeng Zhang +4

Interacting many-body quantum systems and their dynamics, while fundamental to modern science and technology, are formidable to simulate and understand. However, by discovering the…

quant-ph2023★ 5 cited

Random Pulse Sequences for Qubit Noise Spectroscopy

Kaixin Huang, Demitry Farfurnik, Alireza Seif +2

Qubit noise spectroscopy is an important tool for the experimental investigation of open quantum systems. However, conventional techniques for noise spectroscopy are time-consuming…

quant-ph2022★ 8 cited

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…

quant-ph2021

Discovering hydrodynamic equations of many-body quantum systems

Yaroslav Kharkov, Oles Shtanko, Alireza Seif +4

Simulating and predicting dynamics of quantum many-body systems is extremely challenging, even for state-of-the-art computational methods, due to the spread of entanglement across…

quant-ph2021★ 2 cited

Compressed Sensing Measurement of Long-Range Correlated Noise

Alireza Seif, Mohammad Hafezi, Yi-Kai Liu

Long-range correlated errors can severely impact the performance of NISQ (noisy intermediate-scale quantum) devices, and fault-tolerant quantum computation. Characterizing these er…