Computational complexity of the Rydberg blockade in two dimensions. - Hannes Pichler; Sheng-Tao Wang; Leo Zhou; Soonwon Choi; Mikhail D. Lukin (CoRR, 2018)

Enhancing Generative Models via Quantum Correlations. - Xun Gao; Eric R. Anschütz; Sheng-Tao Wang; J. Ignacio Cirac; Mikhail D. Lukin (CoRR, 2021)

Limitations of Linear Cross-Entropy as a Measure for Quantum Advantage. - Xun Gao; Marcin Kalinowski; Chi-Ning Chou; Mikhail D. Lukin; Boaz Barak; Soonwon Choi (CoRR, 2021)

Machine learning discovery of new phases in programmable quantum simulator snapshots. - Cole Miles; Rhine Samajdar; Sepehr Ebadi; Tout T. Wang; Hannes Pichler; Subir Sachdev; Mikhail D. Lukin; Markus Greiner; Kilian Q. Weinberger; Eun-Ah Kim (CoRR, 2021)

Efficient Quantum Voting with Information-Theoretic Security. - Emil T. Khabiboulline; Juspreet Singh Sandhu; Marco Ugo Gambetta; Mikhail D. Lukin; Johannes Borregaard (CoRR, 2021)

Qubit Mapping for Reconfigurable Atom Arrays. - Bochen Tan; Dolev Bluvstein; Mikhail D. Lukin; Jason Cong (ICCAD, 2022)

Quantum optimization with arbitrary connectivity using Rydberg atom arrays. - Minh-Thi Nguyen; Jin-Guo Liu; Jonathan Wurtz; Mikhail D. Lukin; Sheng-Tao Wang; Hannes Pichler (CoRR, 2022)

Hardware-efficient learning of quantum many-body states. - Katherine Van Kirk; Jordan Cotler; Hsin-Yuan Huang; Mikhail D. Lukin (CoRR, 2022)

Development of a Boston-area 50-km fiber quantum network testbed. - Eric Bersin; Matthew Grein; Madison Sutula; Ryan Murphy; Yan Qi Huan; Mark Stevens; Aziza Suleymanzade; Catherine Lee 001; Ralf Riedinger; David J. Starling; Pieter-Jan Stas; Can M. Knaut; et al. (CoRR, 2023)

Computing Solution Space Properties of Combinatorial Optimization Problems Via Generic Tensor Networks. - Jin-Guo Liu; Xun Gao; Madelyn Cain; Mikhail D. Lukin; Sheng-Tao Wang (SIAM J. Sci. Comput., 2023)

GNN-Based Performance Prediction of Quantum Optimization of Maximum Independent Set. - Atefeh Sohrabizadeh; Wan-Hsuan Lin; Daniel Bochen Tan; Madelyn Cain; Sheng-Tao Wang; Mikhail D. Lukin; Jason Cong (ICCAD, 2024)

Remote Entanglement of Quantum Memories over a Metropolitan Network. - Daniel R. Assumpcao; Can M. Knaut; Aziza Suleymanzade; Yan-Cheng Wei; Pieter-Jan Stas Stas; Yan-Qi Huan; Bartholomeus Machielse; Erik N. Knall; Madison Sutula; Gefen Baranes; Neil Sinclair; Chawina De-Eknamkul; et al. (OFC, 2024)

Fault-tolerant compiling of classically hard IQP circuits on hypercubes. - Dominik Hangleiter; Marcin Kalinowski; Dolev Bluvstein; Madelyn Cain; Nishad Maskara; Xun Gao; Aleksander Kubica; Mikhail D. Lukin; Michael J. Gullans (CoRR, 2024)

Enhancing Quantum Memory Lifetime with Measurement-Free Local Error Correction and Reinforcement Learning. - Mincheol Park; Nishad Maskara; Marcin Kalinowski; Mikhail D. Lukin (CoRR, 2024)

Derandomized shallow shadows: Efficient Pauli learning with bounded-depth circuits. - Katherine Van Kirk; Christian Kokail; Jonathan Kunjummen; Hong-Ye Hu; Yanting Teng; Madelyn Cain; Jacob Taylor; Susanne F. Yelin; Hannes Pichler; Mikhail D. Lukin (CoRR, 2024)

Compiling Quantum Circuits for Dynamically Field-Programmable Neutral Atoms Array Processors. - Daniel Bochen Tan; Dolev Bluvstein; Mikhail D. Lukin; Jason Cong (Quantum, 2024)

Constant-Rate Entanglement Distillation for Fast Quantum Interconnects. - Christopher Pattison; Gefen Baranes; Juan Pablo Bonilla Ataides; Mikhail D. Lukin; Hengyun Zhou (ISCA, 2025)

Resource Analysis of Low-Overhead Transversal Architectures for Reconfigurable Atom Arrays. - Hengyun Zhou; Casey Duckering; Chen Zhao; Dolev Bluvstein; Madelyn Cain; Aleksander Kubica; Sheng-Tao Wang; Mikhail D. Lukin (ISCA, 2025)