HPCA 2026
Sat 31 January - Wed 4 February 2026 Sydney, Australia
co-located with HPCA/CGO/PPoPP/CC 2026
Mon 2 Feb 2026 11:50 - 12:10 at Cronulla - Quantum Computing Architecture Chair(s): Frank Mueller

Modular trapped-ion quantum computing hardware, known as Quantum Charge Coupled Devices (QCCDs) require shuttling operations in order to maintain effective all-to-all connectivity. Each module or trap can perform only one operation at a time, resulting in \textit{low intra-trap} parallelism, but there is no restriction on operations happening on independent traps, enabling \textit{high inter-trap} parallelism. Unlike their superconducting counterparts, the design space for QCCDs is relatively flexible and can be explored beyond the constraints of two-dimensional grids. In this work, we are motivated by the opportunity to explore the QCCD design space in the context of optimizing for non-topological CSS codes. In particular, current grid-based architectures significantly limit the performance of many promising, high-rate codes such as hypergraph product codes and bivariate bicycle codes. Many of these codes are highly parallelizable, meaning that with appropriate hardware layouts and matching software schedules, execution latency can be greatly reduced. Faster execution, in turn, reduces error accumulation from decoherence and heating, ultimately improving code performance when mapped to realistic hardware.

However, current 2D grid designs suffer from numerous trap to trap ``roadblocks", forcing serialization and destroying the inherent parallelism of these codes. To address this, we propose \textit{Cyclone}, a circular software-hardware codesign that departs from traditional 2D grids in favor of a flexible ring topology, where ancilla qubits move in lockstep. Cyclone eliminates roadblocks, bounds total movement, and enables high levels of parallelism, resulting in up to ~4$\times$ speedup in execution times. In addition to temporal efficiency, Cyclone also offers large spatial efficiency when compared to a grid codesign. It requires fewer traps, fewer junctions, and only a single Digital-to-Analog Converter (DAC), as opposed to grid architectures, where DAC count scales linearly with the number of traps. With hypergraph product codes, Cyclone achieves up to a 2$\times$ order of magnitude improvement in logical error rate, and with bivariate bicycle codes, this improvement reaches up to a 3$\times$ in order of magnitude. Spatially, Cyclone reduces the number of required traps and ancilla qubits by $2\times$. The overall spacetime improvement over a standard grid is up to $\sim 20 \times$, demonstrating Cyclone as a scalable and efficient alternative to conventional 2D QCCD architectures.

Mon 2 Feb

Displayed time zone: Hobart change

11:30 - 12:50
Quantum Computing ArchitectureMain Conference at Cronulla
Chair(s): Frank Mueller NCSU
11:30
20m
Talk
Toward Scalable Gate-Level Parallelism on Trapped-Ion Processors with Racetrack Electrodes
Main Conference
Enhyeok Jang Yonsei University, Hyungseok Kim Yonsei University, Yongju Lee Yonsei University, Jaewon Kwon Yonsei University, Yipeng Huang Rutgers University, Won Woo Ro Yonsei University
11:50
20m
Talk
Cyclone: Designing Efficient and Highly Parallel QCCD Architectural Codesigns for Fault Tolerant Quantum Memory
Main Conference
Sahil Khan Duke University, Abhinav Anand Duke University, Kenneth R. Brown Duke University, Jonathan M. Baker University of Texas, Austin
12:10
20m
Talk
d'ArQ: A QOC Framework with Causality-Aware Grouping and Basis Selection
Main Conference
Changheon Lee Yonsei University, Hyungseok Kim Yonsei University, Seungwoo Choi Yonsei University, Youngmin Kim Yonsei University, Won Woo Ro Yonsei University
12:30
20m
Talk
Pinball: A Cryogenic Predecoder for Quantum Error Correction Decoding Under Circuit-Level Noise
Main Conference
Alexander Knapen University of Michigan, Guanchen Tao University of Michigan, Jacob Mack University of Michigan, Tomas Bruno University of Michigan, Mehdi Saligane Brown University, Dennis Sylvester University of Michigan, Qirui Zhang University of Michigan, Gokul Subramanian Ravi University of Michigan