Compressed Sensing Measurement of Long-Range Correlated Noise. - Alireza Seif; Mohammad Hafezi; Yi-Kai Liu 001 (CoRR, 2021)

The impact of memory on learning sequence-to-sequence tasks. - Alireza Seif; Sarah A. M. Loos; Gennaro Tucci; Édgar Roldán; Sebastian Goldt (CoRR, 2022)

Simple master equations for describing driven systems subject to classical non-Markovian noise. - Peter Groszkowski; Alireza Seif; Jens Koch; A. A. Clerk (Quantum, 2023)

Suppressing Correlated Noise in Quantum Computers via Context-Aware Compiling. - Alireza Seif; Haoran Liao; Vinay Tripathi; Kevin Krsulich; Moein Malekakhlagh; Mirko Amico; Petar Jurcevic; Ali Javadi-Abhari (ISCA, 2024)

Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows. - Hong-Ye Hu; Andi Gu; Swarnadeep Majumder; Hang Ren; Yipei Zhang; Derek S. Wang; Yi-Zhuang You; Zlatko Minev; Susanne F. Yelin; Alireza Seif (CoRR, 2024)

Machine learning for practical quantum error mitigation. - Haoran Liao; Derek S. Wang; Iskandar Sitdikov; Ciro Salcedo; Alireza Seif; Zlatko Minev (Nat. Mac. Intell., 2024)