QEDMA raised $26M with participation from IBM

8 July, 2025

Errors are a fundamental obstacle on the path to large-scale, practical quantum computing. QEDMA's software reduces, mitigates, and corrects major errors

The developer of noise reduction solutions for quantum computers, QEDMA from Tel aviv, announced a $26 million in Series A funding. The round was led by Glilot Capital Partners through its early growth fund, Glilot+, with new participation from IBM, Korean Investment Partners, and others, alongside existing investors including TPY Capital. QEDMA’s software solution, addresses the critical challenge of reducing errors in quantum computing. QEDMA expects to demonstrate quantum advantage in the coming months through partnerships with multiple quantum computing companies and research institutions.

Errors are a fundamental obstacle on the path to large-scale, practical quantum computing. As the size of quantum computers grows and the complexity of computations increases, errors can compound and the signal gets overwhelmed by noise. While error correction schemes exist that could in theory strongly suppress errors, error-correcting codes require significant overhead: as many as 1,000 qubits (quantum bits) to correct errors for just a single qubit.

QEDMA’s software is being engineered to accelerate the timeline to practical quantum computing by reducing, mitigating, and correcting errors. When a user requests to run a quantum algorithm, QEDMA’s solution executes a protocol to learn the noise characteristics of the specific device. It then adjusts the quantum algorithm to reduce some classes of errors from occurring (suppression) and uses post-processing to address the impact of remaining errors on the final calculation (mitigation).

QEDMA’s solution has support from major industry leaders, including its launch as one of the first IBM Qiskit Functions. “While the industry is making massive investments in quantum computing infrastructure and scaling the number of qubits, our platform-agnostic approach allows us to extract maximum value from existing hardware across all quantum computing architectures,” said Dr. Asif Sinay, CEO and co-founder of QEDMA. “By accelerating the timeline to practical quantum computing, we’re establishing a fundamental foundation that will become even more crucial as quantum systems scale.”

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Posted in tags: QEDMA , Quantum Computing , vc