QpiAI Implements High-Speed Hardware Decoder for 64-Qubit Kaveri Processor
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QpiAI Implements High-Speed Hardware Decoder for 64-Qubit Kaveri Processor QpiAI has reported the implementation of a high-performance quantum error correction (QEC) decoder platform for its 64-qubit Kaveri superconducting quantum processor. The system utilizes a distance-5 rotated surface code (d = 5) requiring 49 physical qubits to encode a single logical qubit. The decoder is based on a union-find algorithm executed on custom hardware rather than traditional CPU or GPU architectures. This design aims to provide a scalable framework for real-time error detection and correction, serving as a technical milestone within the framework of India’s National Quantum Mission (NQM). The custom hardware decoder achieves an end-to-end cycle latency of 1.5 microseconds, with the decoding operation itself completed in less than 1 microsecond (typically within 40 clock cycles). This represents a significant reduction in latency compared to existing software-based decoders, which often require approximately 60 microseconds for distance-5 codes. By maintaining a cycle time of 1.5 microseconds, the platform can perform five rounds of stabilizer measurements per cycle to detect both qubit and measurement errors while remaining well within the coherence window of the Kaveri hardware. The Kaveri QPU reports qubit coherence times of approximately 100 μs for T1 and 95 μs for T2, providing sufficient headroom for multiple consecutive error-correction cycles. The architecture is specifically optimized for surface-code-friendly qubit connectivity to facilitate efficient stabilizer measurements. Supported by investment from the Department of Science and Technology (DST), the development is intended to move India’s quantum infrastructure toward fault-tolerant utility. Future iterations of the roadmap include the support for distance-7 codes and the integration of quantum low-density parity-check (qLDPC) codes to further optimize physical-to-logical qubit ratios. For technical specifications of the Kaveri QPU and the union-find hardware decoder implementation, consult the official press release here. March 25, 2026 Mohamed Abdel-Kareem2026-03-25T11:10:24-07:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.