TY - GEN
T1 - LANCER
T2 - 58th IEEE/ACM International Symposium on Microarchitecture , MICRO 2025
AU - Kim, Junpyo
AU - Cho, Jungmin
AU - Jeong, Hyeonseong
AU - Min, Dongmoon
AU - Choi, Junhyuk
AU - Hong, Juwon
AU - Kim, Jangwoo
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/10/17
Y1 - 2025/10/17
N2 - The ultimate goal of fault-tolerant quantum computing (FTQC) is to run practical applications. Due to the long execution time of practical workloads, an FTQC system must operate reliably for multiple days by correcting the errors of noisy qubits. However, drifts of error sources increase qubit error rates during execution (i.e., error drift), limiting the reliable execution time. Even worse, existing error-drift-handling methods cannot execute long-running workloads as they collapse the qubit states or fail to suppress errors. In this paper, we propose LANCER, a novel accurate and non-destructive calibration method for reliable execution under error drifts. We observe that only a subset of qubits store quantum states during execution. Based on the observation, we periodically stall the program and migrate the quantum states temporarily to idle qubits, enabling accurate calibrations without losing the states. However, this idea faces two major challenges: (1) crosstalk between running and calibrating qubits and (2) huge latency overhead due to stalls when the quantum states are migrated to idle qubits. We propose three solutions to resolve these challenges. First, we mitigate the crosstalk by toggling the frequencies of running qubits to separate them from the frequencies of calibrating qubits. Second, we reduce the latency overhead by utilizing the inherent idle times in the fault-tolerant quantum gate. Lastly, we further reduce the latency overhead by re-designing qubit layout to enable the execution even when the quantum states are migrated to idle qubits. The evaluation shows that LANCER enables the execution of 95 times larger programs (i.e., larger number of gates) compared to the baseline, with negligible latency and qubit overhead (4.3% and 4.0%, respectively).
AB - The ultimate goal of fault-tolerant quantum computing (FTQC) is to run practical applications. Due to the long execution time of practical workloads, an FTQC system must operate reliably for multiple days by correcting the errors of noisy qubits. However, drifts of error sources increase qubit error rates during execution (i.e., error drift), limiting the reliable execution time. Even worse, existing error-drift-handling methods cannot execute long-running workloads as they collapse the qubit states or fail to suppress errors. In this paper, we propose LANCER, a novel accurate and non-destructive calibration method for reliable execution under error drifts. We observe that only a subset of qubits store quantum states during execution. Based on the observation, we periodically stall the program and migrate the quantum states temporarily to idle qubits, enabling accurate calibrations without losing the states. However, this idea faces two major challenges: (1) crosstalk between running and calibrating qubits and (2) huge latency overhead due to stalls when the quantum states are migrated to idle qubits. We propose three solutions to resolve these challenges. First, we mitigate the crosstalk by toggling the frequencies of running qubits to separate them from the frequencies of calibrating qubits. Second, we reduce the latency overhead by utilizing the inherent idle times in the fault-tolerant quantum gate. Lastly, we further reduce the latency overhead by re-designing qubit layout to enable the execution even when the quantum states are migrated to idle qubits. The evaluation shows that LANCER enables the execution of 95 times larger programs (i.e., larger number of gates) compared to the baseline, with negligible latency and qubit overhead (4.3% and 4.0%, respectively).
KW - Error drift
KW - Fault-tolerant quantum computing
KW - Qubit calibration
UR - https://www.scopus.com/pages/publications/105021353340
U2 - 10.1145/3725843.3756026
DO - 10.1145/3725843.3756026
M3 - Conference contribution
AN - SCOPUS:105021353340
T3 - Proceedings of the Annual International Symposium on Microarchitecture, MICRO
SP - 547
EP - 563
BT - MICRO 2025 - 58th IEEE/ACM International Symposium on Microarchitecture
PB - IEEE Computer Society
Y2 - 18 October 2025 through 22 October 2025
ER -