Mikhail D. Lukin

According to our database, Mikhail D. Lukin authored at least 20 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Data for "Low-Overhead Transversal Fault Tolerance for Universal Quantum Computation".

Hengyun Zhou, Chen Zhao, Madelyn Cain, Dolev Bluvstein, Nishad Maskara, Casey Duckering, Hong-Ye Hu, Sheng-Tao Wang, Aleksander M. Kubica, Mikhail D. Lukin

Dataset, July, 2025

Low-overhead transversal fault tolerance for universal quantum computation.

Hengyun Zhou, Chen Zhao, Madelyn Cain, Dolev Bluvstein, Nishad Maskara, Casey Duckering, Hong-Ye Hu, Sheng-Tao Wang, Aleksander Kubica, Mikhail D. Lukin

Nat., 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

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Constant-Rate Entanglement Distillation for Fast Quantum Interconnects.

Christopher Pattison, Gefen Baranes, Juan Pablo Bonilla Ataides, Mikhail D. Lukin, Hengyun Zhou

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

2024

Compiling Quantum Circuits for Dynamically Field-Programmable Neutral Atoms Array Processors.

Daniel Bochen Tan, Dolev Bluvstein, Mikhail D. Lukin, Jason Cong

Quantum, March, 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

Enhancing Quantum Memory Lifetime with Measurement-Free Local Error Correction and Reinforcement Learning.

Mincheol Park, Nishad Maskara, Marcin Kalinowski, Mikhail D. Lukin

CoRR, 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

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, David S. Levonian, Mihir K. Bhaskar, Hongkun Park, Marko Loncar, Mikhail D. Lukin

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

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

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

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., June, 2023

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, Ralf Riedinger, David J. Starling, Pieter-Jan Stas, Can M. Knaut, Neil Sinclair, Daniel R. Assumpcao, Yan-Cheng Wei, Erik N. Knall, Bartholomeus Machielse, Denis D. Sukachev, David S. Levonian, Mihir K. Bhaskar, Marko Loncar, Scott Hamilton, Mikhail D. Lukin, Dirk R. Englund, P. Benjamin Dixon

CoRR, 2023

2022

Hardware-efficient learning of quantum many-body states.

Katherine Van Kirk, Jordan Cotler, Hsin-Yuan Huang, Mikhail D. Lukin

CoRR, 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

Qubit Mapping for Reconfigurable Atom Arrays.

Bochen Tan, Dolev Bluvstein, Mikhail D. Lukin, Jason Cong

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2021

Efficient Quantum Voting with Information-Theoretic Security.

Emil T. Khabiboulline, Juspreet Singh Sandhu, Marco Ugo Gambetta, Mikhail D. Lukin, Johannes Borregaard

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

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

Enhancing Generative Models via Quantum Correlations.

Xun Gao, Eric R. Anschütz, Sheng-Tao Wang, J. Ignacio Cirac, Mikhail D. Lukin

CoRR, 2021

2018

Computational complexity of the Rydberg blockade in two dimensions.

Hannes Pichler, Sheng-Tao Wang, Leo Zhou, Soonwon Choi, Mikhail D. Lukin

CoRR, 2018