Qedma has integrated its QESEM quantum error mitigation software directly with the NVIDIA CUDA-Q platform, allowing users to run more complex quantum workloads on Quantinuum hardware with improved accuracy. The integration allows CUDA-Q users to incorporate Qedma’s error reduction capabilities without altering their existing programming workflows, the company says.
“The ability to run larger and more complex quantum workloads with greater accuracy is critical to expanding what today’s quantum computers can achieve,” says Dr. Asif Sinay, CEO and co-founder of Qedma. This collaboration aims to push the limits of current quantum hardware and accelerate the pursuit of commercial quantum advantage.
QESEM Software Integrates with NVIDIA CUDA-Q for Enhanced Workloads
Direct integration with the NVIDIA CUDA-Q platform now enables Quantinuum hardware to support Qedma’s QESEM software, immediately expanding the scale of accessible quantum workloads. This pairing allows researchers to apply Qedma’s error mitigation techniques without altering existing quantum programs, a key factor for rapid adoption and wider testing, according to the company. The integration initially focuses on Quantinuum systems, with a planned expansion to encompass additional quantum computing platforms in the future, indicating a phased approach to broader compatibility.
The availability of QESEM within CUDA-Q addresses a critical bottleneck in current quantum computing development: error reduction for practical applications. Qedma’s patented approach prioritises extracting more performance from existing, noisy intermediate-scale quantum (NISQ) hardware rather than solely focusing on the eventual arrival of fault-tolerant machines. “Reducing errors is a critical challenge for large-scale, useful quantum supercomputing,” said Sam Stanwyck, Director of Quantum Product at NVIDIA.
Qedma’s software characterises noisy quantum processing units (QPUs) with detailed efficiency, enabling control over the trade-off between computation speed and accuracy, and ultimately allowing for the execution of larger quantum circuits. Founded in 2021 and based in Tel Aviv, Qedma has secured $26 million in funding to pursue this hardware-agnostic strategy, building platform-independent error mitigation tools. This focus on integration is evident in the company’s design philosophy, with the publication of academic papers, documentation, and a blog alongside its products to facilitate broader understanding and use.
Dr. Sinay explained, “By integrating QESEM with CUDA-Q, we are making advanced error mitigation directly accessible within one of the industry’s leading hybrid quantum-classical computing environments.” This gives researchers a practical way to push today’s quantum hardware further and accelerate the path toward commercial quantum advantage. Qedma recently demonstrated quantum advantage in collaboration with IBM, accurately modelling quantum materials beyond the reach of classical simulation, a feat achieved using commercially available hardware and software, the firm reports.
The company’s solutions cover detailed and efficient characterisation of noisy QPUs, error mitigation applicable to any algorithm, and control of the speed against accuracy tradeoff, with the goal of enabling the largest possible quantum circuit.
The ability to run larger and more complex quantum workloads with greater accuracy is critical to expanding what today’s quantum computers can achieve.
Dr. Asif Sinay, CEO and co-founder of Qedma
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