8 citations · 12 across the 5 of their papers we have counts for
10 papers
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…
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…
Decoding conformal field theories: from supervised to unsupervised learning
En-Jui Kuo, Alireza Seif, Rex Lundgren +2
We use machine learning to classify rational two-dimensional conformal field theories. We first use the energy spectra of these minimal models to train a supervised learning algori…
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…
Meta Hamiltonian Learning
Przemyslaw Bienias, Alireza Seif, Mohammad Hafezi
Efficient characterization of quantum devices is a significant challenge critical for the development of large scale quantum computers. We consider an experimentally motivated situ…
Entanglement entropy scaling transition under competing monitoring protocols
Mathias Van Regemortel, Ze-Pei Cian, Alireza Seif +2
Dissipation generally leads to the decoherence of a quantum state. In contrast, numerous recent proposals have illustrated that dissipation can also be tailored to stabilize many-b…