Advanced quantum hardware and algorithms developer Quantum X Labs Inc. has entered into a strategic cooperation agreement with the Israeli Quantum Computing Center (IQCC), an open-access research and development testbed operated by Quantum Machines. The collaborative agreement establishes a practical testing framework under which Quantum X Labs will integrate and evaluate its proprietary, AI-based quantum error-correction (QEC) technology within a live classical-quantum hardware loop. By shifting away from purely theoretical software simulations and migrating its algorithm to physical infrastructure, the company intends to study real-time decoding efficiency and analyze how machine learning models adapt to the native noise profiles of physical quantum processors. Deep Transformer Decoders Combined with Low-Latency Control Hardware The technical core of the evaluation program centers on compiling Quantum X Labs’ patented Deep Transformer Decoder algorithm directly into Quantum Machines’ commercial OPX1000 real-time quantum controller. Standard error-correction workflows rely on classical decoding heuristics, such as minimum-weight perfect matching, to process the data syndrome flags collected by physical readout pulses. However, these traditional techniques often face computing latency constraints as physical systems scale. Quantum X Labs’ approach replaces these heuristics with a trained transformer neural network designed to track error propagation patterns. To execute this algorithm fast enough to outpace the natural decoherence time of superconducting qubits, the software requires direct, low-latency integration with the hardware abstraction layer. The programmable orchestration architecture of the OPX1000 provides the precise classical-quantum feedback speed necessary to run the deep transformer model alongside active qubit control lines. Multi-Vendor Benchmarking and Algorithmic Roadmap Validation Headed by Chief Quantum Technology Scientist Professor Nir Sharon and IQCC General Manager Dr. Nir Alfasi, the evaluation project leverages the unique, multi-vendor ecosystem hosted at the Tel Aviv testbed. Rather than restricting algorithmic benchmarking to a isolated hardware setup, the IQCC environment enables multi-modal evaluations across distinct quantum