TY - GEN
T1 - TRIM
T2 - 2023 IEEE International Conference on Quantum Software, QSW 2023
AU - Khadirsharbiyani, Soheil
AU - Sadeghi, Movahhed
AU - Zarch, Mostafa Eghbali
AU - Kotra, Jagadish
AU - Kandemir, Mahmut Taylan
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The challenge of mapping logical qubits to physical qubits in quantum systems has been addressed in prior proposals that optimize the Probability of Successful Trial (PST) by considering the coherence and gate error rates. However, these proposals do not account for crosstalk errors, which occur when active qubits interact during execution. The reason for this is that crosstalk only appears after the initial mapping, while previous strategies allocate qubits based on program and quantum system characteristics using one-step mapping methods. Scheduling-based solutions have been created to address this problem by inserting barriers between gates to reduce crosstalk, but at the expense of increased execution time and coherence error rates, ultimately decreasing overall accuracy. This paper presents and evaluates TRIM, a novel strategy that characterizes crosstalk and eliminates it in an iterative fashion using a multi-step greedy search method, which can be applied to any qubit mapping to reduce crosstalk while keeping execution time and coherence errors in check. Evaluations of TRIM using multiple workloads show PST improvements of 7.3% for single-programmed execution and 7.7% for multiprogramming scenarios, while reducing or keeping the number of gates, compared to a state-of-the-art mapping scheme. Additionally, TRIM achieves 5.4% and 3.3% PST improvements for single-programmed and multiprogrammed executions, respectively, compared to a state-of-the-art scheduling strategy.
AB - The challenge of mapping logical qubits to physical qubits in quantum systems has been addressed in prior proposals that optimize the Probability of Successful Trial (PST) by considering the coherence and gate error rates. However, these proposals do not account for crosstalk errors, which occur when active qubits interact during execution. The reason for this is that crosstalk only appears after the initial mapping, while previous strategies allocate qubits based on program and quantum system characteristics using one-step mapping methods. Scheduling-based solutions have been created to address this problem by inserting barriers between gates to reduce crosstalk, but at the expense of increased execution time and coherence error rates, ultimately decreasing overall accuracy. This paper presents and evaluates TRIM, a novel strategy that characterizes crosstalk and eliminates it in an iterative fashion using a multi-step greedy search method, which can be applied to any qubit mapping to reduce crosstalk while keeping execution time and coherence errors in check. Evaluations of TRIM using multiple workloads show PST improvements of 7.3% for single-programmed execution and 7.7% for multiprogramming scenarios, while reducing or keeping the number of gates, compared to a state-of-the-art mapping scheme. Additionally, TRIM achieves 5.4% and 3.3% PST improvements for single-programmed and multiprogrammed executions, respectively, compared to a state-of-the-art scheduling strategy.
UR - http://www.scopus.com/inward/record.url?scp=85172918084&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85172918084&partnerID=8YFLogxK
U2 - 10.1109/QSW59989.2023.00025
DO - 10.1109/QSW59989.2023.00025
M3 - Conference contribution
AN - SCOPUS:85172918084
T3 - Proceedings - 2023 IEEE International Conference on Quantum Software, QSW 2023
SP - 138
EP - 148
BT - Proceedings - 2023 IEEE International Conference on Quantum Software, QSW 2023
A2 - Ali, Shaukat
A2 - Ardagna, Claudio
A2 - Atukorala, Nimanthi
A2 - Barzen, Johanna
A2 - Chang, Carl K.
A2 - Chang, Rong N.
A2 - Fan, Jing
A2 - Faro, Ismael
A2 - Feld, Sebastian
A2 - Fox, Geoffrey C.
A2 - Jin, Zhi
A2 - Leymann, Frank
A2 - Neukart, Florian
A2 - de la Puente, Salvador
A2 - Wimmer, Manuel
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 2 July 2023 through 8 July 2023
ER -