arXiv (All)
open access
Real-Time Recurrent Qubit-State Discrimination on a Heterogeneous AI-Engine-FPGA Accelerator
Qubit readout, or qubit state discrimination, remains one of the slowest and most error-prone operations in superconducting quantum processors, making fast, accurate, and hardware-efficient classification essential for scalable quantum computing. Conventional discriminators integrate the I/Q record
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- ML-Powered FPGA-based Real-Time Quantum State Discrimination Enabling Mid-circuit Measurements#792594
- ML-Powered FPGA-based Real-Time Quantum State Discrimination Enabling Mid-circuit Measurements#788594
- Hardware-Efficient Error Mitigation and Shot-Efficient Sampling on IBM Quantum Hardware#792535
- Hardware-Efficient Error Mitigation and Shot-Efficient Sampling on IBM Quantum Hardware#788535
- Quantum minds: Merging quantum computing with next-gen AI#108888
Record · ID 1456666
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive