HetEC: Architectures for Heterogeneous Quantum Error Correction Codes
Samuel A. Stein, Shifan Xu, Andrew W. Cross, Theodore J. Yoder, Ali Javadi-Abhari, Chenxu Liu, Kun Liu, Zeyuan Zhou, Charlie Guinn, Yufei Ding, Yongshan Ding, Ang Li
Abstract
Quantum Error Correction (QEC) is essential for future quantum computers due to its ability to exponentially suppress physical errors. The surface code is a leading error-correcting code candidate because of its local topological structure, experimentally achievable thresholds, and support for universal gate operations with magic states. However, its physical overhead scales quadratically with number of correctable errors. Conversely, quantum low-density parity-check (qLDPC) codes offer superior scaling but lack, on their own, a clear path to universal logical computation. Therefore, it is becoming increasingly evident that there are significant advantages to designing architectures using multiple codes. Heterogeneous architectures provide a clear path to universal logical computation as well as the ability to access different resource trade offs.
To address this, we propose integrating the surface code and gross code using an ancilla bus for inter-code data movement. This approach involves managing trade-offs, including qubit overhead, a constrained instruction set, and gross code (memory) routing and management. While our focus is on the gross-surface code architecture, our method is adaptable to any code combination and the constraints generated by that specific architecture.
Motivated by the potential reduction of physical qubit overhead, an ever important feature in the realization of fault tolerant computation, we perform the first full system study of heterogeneous error-correcting codes, discovering architectural trade-offs and optimizing around them. We demonstrate physical qubit reductions of up to 6.42× when executing an algorithm to a specific logical error rate, at the cost of up to a 3.43× increase in execution time.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext b059989d-e079-4918-9217-741f9a67426dCited by top-tier papers5
- Resource Analysis of Low-Overhead Transversal Architectures for Reconfigurable Atom ArraysHengyun Zhou, Casey Duckering, Chen Zhao, Dolev Bluvstein et al.ISCA 2025 · 7 citations
- O3LS: Optimizing Lattice Surgery via Automatic Layout Searching and Loose SchedulingChenghong Zhu, Xian Wu, Jiahan Chen, Keming He et al.ISCA 2026 · 4 citations
- Reducing T Gates with Unitary SynthesisTianyi Hao, Amanda Xu, Swamit TannuASPLOS 2026 · 3 citations
- Photonic Quantum Computing on Spin Memory Architecture with Tree-Encoded FusionXiangyu Ren, Yuexun Huang, Zhemin Zhang, Yuchen Zhu et al.ISCA 2026 · 1 citation
- Pinball: A Cryogenic Predecoder for Quantum Error Correction Decoding Under Circuit-Level NoiseAlexander Knapen, Guanchen Tao, Jacob Mack, Tomas Bruno et al.HPCA 2026
Builds on1
Related papers
- A synthesis framework for stitching surface code with superconducting quantum devicesAnbang Wu, Gushu Li, Hezi Zhang, Gian Giacomo Guerreschi et al.ISCA 2022 · 21 citations
- Synchronization for Fault-Tolerant Quantum ComputersSatvik Maurya, Swamit TannuISCA 2025 · 4 citations
- Architecting Scalable Trapped Ion Quantum Computers using Surface CodesScott Jones, Prakash MuraliASPLOS 2026
- AutoBraid: A Framework for Enabling Efficient Surface Code Communication in Quantum ComputingFei Hua, Yan-Hao Chen, Yuwei Jin, Chi Zhang et al.MICRO 2021 · 26 citations
- Flag-Proxy Networks: Overcoming the Architectural, Scheduling and Decoding Obstacles of Quantum LDPC CodesSuhas Vittal, Ali Javadi-Abhari, Andrew W. Cross, Lev S. Bishop et al.MICRO 2024 · 4 citations
