Quantum Computing Report

QEDMA Secures $26 Million Series A Funding, Including Participation from IBM, for Quantum Error Resilience Solutions

QEDMA, an Israeli startup, has closed a $26 million Series A funding round for its quantum noise resilience solutions. The round was led by Glilot Capital Partners through its Glilot+ early growth fund. New investors include IBM and Korea Investment Partners, joining existing investors such as TPY Capital. QEDMA develops software designed to address the challenge of reducing errors in quantum computing, with the goal of advancing the timeline to practical quantum advantage.

QEDMA’s software solution is engineered to reduce, mitigate, and correct errors in quantum computations. The solution integrates with existing hardware to enhance the performance of quantum computers. When a user runs a quantum algorithm, QEDMA’s software executes a protocol to characterize the specific device’s noise patterns. It then adjusts the quantum algorithm to suppress certain classes of errors and uses post-processing to address the impact of remaining errors on the final calculation. The company plans to integrate error correction capabilities with error mitigation for further reliability as hardware capabilities evolve. The solution is also available as an IBM Qiskit Function.

Errors present a fundamental obstacle to large-scale, practical quantum computing, as they can compound with increasing computation complexity. QEDMA’s approach aims to make error handling achievable with notably fewer qubits, potentially enabling larger quantum computations on current hardware. The company anticipates demonstrating quantum advantage in the coming months through collaborations with various quantum computing companies and research institutions. This funding is intended to support QEDMA’s expansion, including growing its team of researchers, software engineers, and sales personnel, and aims to accelerate the realization of quantum advantage.

Read the press release provided by QEDMA here.

July 3, 2025

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