LILLIPUT: a lightweight low-latency lookup-table decoder for near-term Quantum error correction
Poulami Das, Aditya Locharla, Cody Jones
Abstract
The error rates of quantum devices are orders of magnitude higher than what is needed to run most quantum applications. To close this gap, Quantum Error Correction (QEC) encodes logical qubits and distributes information using several physical qubits. By periodically executing a syndrome extraction circuit on the logical qubits, information about errors (called syndrome) is extracted while running programs. A decoder uses these syndromes to identify and correct errors in real time, which is necessary to prevent accumulation of errors. Unfortunately, software decoders are slow and hardware decoders are fast but less accurate. Thus, almost all QEC studies so far have relied on offline decoding.
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Install the CLIlune papers get 7cd68694-3d4b-4822-be3e-b1a8942a7e82Cited by top-tier papers15
- Astrea: Accurate Quantum Error-Decoding via Practical Minimum-Weight Perfect-MatchingSuhas Vittal, Poulami Das, Moinuddin K. QureshiISCA 2023 · 47 citations
- Promatch: Extending the Reach of Real-Time Quantum Error Correction with Adaptive PredecodingNarges Alavisamani, Suhas Vittal, Ramin Ayanzadeh, Poulami Das et al.ASPLOS 2024 · 14 citations
- Q-BEEP: Quantum Bayesian Error Mitigation Employing Poisson Modeling over the Hamming SpectrumSamuel A. Stein, Nathan Wiebe, Yufei Ding, James Ang et al.ISCA 2023 · 13 citations
- ERASER: Towards Adaptive Leakage Suppression for Fault-Tolerant Quantum ComputingSuhas Vittal, Poulami Das, Moinuddin K. QureshiMICRO 2023 · 12 citations
- Synchronization for Fault-Tolerant Quantum ComputersSatvik Maurya, Swamit TannuISCA 2025 · 4 citations
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