Quantum X Labs and IQCC to Test AI Decoder

Quantum X Labs partners with IQCC to test AI-based quantum error correction.

Quantum X Labs announced a partnership with IQCC, a research platform of Quantum Machines. The parties plan to evaluate an AI-based quantum error correction system in an integrated software-hardware environment, according to a press release.

The key element of the project will be the Deep Transformer Decoder—an algorithm designed to analyze measurement data on potential errors in the quantum system and select corrective actions. Such decoders are considered crucial for future fault-tolerant quantum computers.

What Will Be Tested

Quantum X Labs will test the AI decoder on the quantum control infrastructure of Quantum Machines. IQCC will provide access to its systems, including the OPX1000 real-time controller. The trials aim to demonstrate the suitability of the development for future quantum error correction processes. The parties did not disclose timelines, technical metrics, financial terms, or success criteria for the tests.

Nir Sharon, Head of Quantum Technologies at Quantum X Labs, described the collaboration as a step towards testing the decoder on real quantum equipment data. According to him, IQCC’s infrastructure will allow the technology to be evaluated in conditions close to practical application.

Nir Alfasi, General Manager of IQCC, noted that quantum error correction remains one of the key challenges on the path to large-scale quantum computing.

Why a Decoder is Needed

Qubits are sensitive to noise and quickly accumulate errors. To build a fault-tolerant quantum computer, the system must be taught to detect them and quickly determine how to fix them. Additional measurements are used for this purpose: they do not show the quantum state directly but indicate possible errors. The decoder analyzes this data and decides which corrections the system should apply.

The challenge is that decisions need to be made very quickly. If processing takes too long, errors continue to accumulate, and the computation loses reliability. Therefore, not only algorithms but also low latency between the quantum processor, classical computations, and the control system are important for correction.

Why IQCC

The Israeli Quantum Computing Center was opened in June 2024 at Tel Aviv University with support from the Israel Innovation Authority. The center is designed as a platform for testing quantum processors, algorithms, and control systems.

According to Quantum Machines, IQCC integrates several types of quantum computers, classical computing resources, and cloud access. The center also utilizes the OPX1000—a controller designed for scaling and real-time processing tasks.

Previously, Quantum X Labs announced work on an error correction decoder based on transformer architecture. In May, the company stated that it had integrated Google’s public Quantum AI dataset into its Error Correction Transformer and also announced a neutral atom platform with over 50 physical qubits. No independent test results are available yet.

In May, it was reported that machine learning is already being used to optimize error correction—one of the main barriers to creating scalable quantum computers.