Quantum computing firms target scaling milestones for error correction and qubit capacity

Quantum computing firms are targeting major scaling milestones to move beyond laboratory settings into practical applications.

Riverlane aims to achieve MegaQuOps—one million real-time quantum operations—by 2026. This threshold is considered critical for running the first error-corrected applications. The company is developing Deltaflow 2, a quantum error correction stack designed to perform real-time error correction on up to 250 physical qubits using a proprietary Local Clustering Decoder. Riverlane is collaborating with the UK’s National Quantum Computing Centre and Oak Ridge National Laboratory to integrate these systems with high-performance computing.

Meanwhile, Israeli startup Q-Factor is working to develop a neutral-atom quantum computer with a target of over one million qubits. The company is focusing on overcoming architectural bottlenecks related to atom heating and readout speeds, which often become impractical as systems scale. Q-Factor, founded by researchers from the Weizmann Institute of Science and the Technion–Israel Institute of Technology, recently secured $24 million in seed funding to address these scaling challenges.