Cyclone: Designing Efficient and Highly Parallel QCCD Architectural Codesigns for Fault Tolerant Quantum Memory
Sahil Khan, Abhinav Anand, Kenneth R. Brown, Jonathan M. Baker

TL;DR
Cyclone introduces a circular ring topology for QCCD quantum memory architectures, significantly enhancing parallelism, reducing error rates, and improving scalability compared to traditional grid designs.
Contribution
It proposes a novel ring topology for QCCD architectures that overcomes grid limitations, enabling higher parallelism and better performance for quantum error correction codes.
Findings
Up to 4× speedup in execution times.
Up to 10× improvement in logical error rate.
2× reduction in required traps and ancilla qubits.
Abstract
Modular trapped-ion quantum computing hardware, known as 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 low intra-trap parallelism, but there is no restriction on operations happening on independent traps, enabling high inter-trap parallelism. Unlike their superconducting counterparts, the design space for QCCDs is relatively flexible and can be explored beyond current grid designs. In particular, current grid-based architectures significantly limit the performance of many promising, high-rate codes such as HGP codes and BB codes, suffering from numerous trap to trap ``roadblocks", forcing serialization and destroying the inherent parallelism of these codes.. Many of these codes are highly parallelizable, meaning that with appropriate hardware layouts and matching…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Advanced Data Storage Technologies · Distributed systems and fault tolerance
