Quantum X Labs has announced a collaboration with IQCC, a research platform from Quantum Machines. The two parties plan to evaluate an AI-based quantum error correction system within an integrated hardware-software environment. This was stated in a press release.
A key component of the project will be the Deep Transformer Decoder, an algorithm designed to analyze measurement data regarding potential errors in quantum systems and determine corrective actions. Such decoders are considered crucial for the future of fault-tolerant quantum computers.
What Will Be Tested
Quantum X Labs will test the AI decoder on the quantum control infrastructure provided by Quantum Machines. IQCC will grant access to its systems, including the real-time controller OPX1000. The trials aim to assess how well the development fits into future quantum error correction processes. The parties have not disclosed 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 using data from real quantum equipment. He stated that IQCC's infrastructure would allow for evaluation of the technology 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 learn to detect these errors and swiftly determine how to correct them. This involves additional measurements that reveal not the quantum state directly, but indicators of possible errors. The decoder analyzes this data and decides which corrections the system should apply.
The challenge lies in the need for rapid decision-making. If processing takes too long, errors continue to accumulate, compromising the reliability of computations. Therefore, both algorithms and low latency between the quantum processor, classical computations, and the control system are critical 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 serves as a testing ground for quantum processors, algorithms, and control systems.
According to Quantum Machines, IQCC brings together several types of quantum computers, classical computing resources, and cloud access. The center also utilizes the OPX1000 controller, designed for scalability and real-time processing tasks.
Previously, Quantum X Labs reported working on an error correction decoder based on transformer architecture. In May, the company announced that it had integrated Google Quantum AI's public dataset into its Error Correction Transformer and also launched a neutral atom platform with over 50 physical qubits. Currently, there are no independent test results available.
It is worth noting that in May, it was revealed that machine learning is already being used to optimize error correction, one of the main barriers to creating scalable quantum computers.