IEM Seminar Series: Hardware-Efficient, Fault-Tolerant Quantum Computation with Rydberg Atoms
Event details
| Date | 26.04.2023 |
| Hour | 13:15 › 14:00 |
| Speaker |
Dr Iris Cong, Physics Department, Harvard University |
| Location | |
| Category | Conferences - Seminars |
| Event Language | English |
A light lunch will be served from 12:30 to 13:00 in front of ELA 1 !
Abstract
Throughout human history, the specialization of labor has led to remarkable advances in knowledge and productivity. Analogously, in quantum information, general-purpose quantum error correction protocols can only be as efficient as the society in which every member has the same duties. Indeed, despite major efforts across different platforms, most general-purpose approaches for error-corrected quantum computation are still out of reach even for the most advanced systems because of significant overhead in extra qubits and quantum gates. Motivated by these considerations, we propose and analyze the specialized design of fault-tolerant quantum computation protocols tailored to a quantum computer built from arrays of neutral Rydberg atoms, atoms in which one electron is in a very highly excited state.
Inspired by recent experimental advances in quantum control of arrays exceeding 200 atoms, our work provides the first comprehensive study of the relevant error channels in this system and identifies several decay mechanisms that are challenging to address using traditional, general-purpose techniques. We exploit the specific structure of the error model to considerably simplify several error-correction requirements, and we make use of important features of neutral atoms to greatly facilitate the key steps in our protocols. Our approach to error correction for neutral Rydberg array quantum computation is dramatically more efficient than existing methods and could be implemented in near-term experiments involving hundreds of programmable atoms.
Bio
Dr. Iris Cong is a 2022 PhD graduate from Harvard University, where she studied quantum information and atomic physics in Prof. Mikhail Lukin's group. She received her B.S. degree in Computer Science from the University of California, Los Angeles in 2017. Dr. Cong's research interests include quantum machine learning, quantum error correction, and topological phases of matter. Her work has been recognized with accolades including the Goldwater Scholarship, the National Defense Science and Engineering Graduate Research Fellowship, the Fannie and John Hertz Fellowship, the Paul and Daisy Soros Fellowship, and Harvard's Goldhaber Prize for Outstanding Graduate Students in Physics.
Abstract
Throughout human history, the specialization of labor has led to remarkable advances in knowledge and productivity. Analogously, in quantum information, general-purpose quantum error correction protocols can only be as efficient as the society in which every member has the same duties. Indeed, despite major efforts across different platforms, most general-purpose approaches for error-corrected quantum computation are still out of reach even for the most advanced systems because of significant overhead in extra qubits and quantum gates. Motivated by these considerations, we propose and analyze the specialized design of fault-tolerant quantum computation protocols tailored to a quantum computer built from arrays of neutral Rydberg atoms, atoms in which one electron is in a very highly excited state.
Inspired by recent experimental advances in quantum control of arrays exceeding 200 atoms, our work provides the first comprehensive study of the relevant error channels in this system and identifies several decay mechanisms that are challenging to address using traditional, general-purpose techniques. We exploit the specific structure of the error model to considerably simplify several error-correction requirements, and we make use of important features of neutral atoms to greatly facilitate the key steps in our protocols. Our approach to error correction for neutral Rydberg array quantum computation is dramatically more efficient than existing methods and could be implemented in near-term experiments involving hundreds of programmable atoms.
Bio
Dr. Iris Cong is a 2022 PhD graduate from Harvard University, where she studied quantum information and atomic physics in Prof. Mikhail Lukin's group. She received her B.S. degree in Computer Science from the University of California, Los Angeles in 2017. Dr. Cong's research interests include quantum machine learning, quantum error correction, and topological phases of matter. Her work has been recognized with accolades including the Goldwater Scholarship, the National Defense Science and Engineering Graduate Research Fellowship, the Fannie and John Hertz Fellowship, the Paul and Daisy Soros Fellowship, and Harvard's Goldhaber Prize for Outstanding Graduate Students in Physics.
Practical information
- General public
- Free