Press releases
Algorithmiq to Speed Quantum Computing Advancements with NVIDIA Accelerated Computing
Quantum software innovator develops error mitigation techniques for near-term quantum devices with NVIDIA technologies
- • Algorithmiq announces a venture to develop NVIDIA-accelerated supercomputing-enabled error mitigation techniques for near-term quantum devices, aiming to accelerate the achievement of quantum advantage.
- • The integration of NVIDIA accelerated supercomputing into Algorithmiq’s innovative quantum software solutions helps address one of the most significant challenges in quantum computing and has the potential to revolutionize the field.
- • NVIDIA-accelerated quantum platform demonstrates a 300x speedup of Algorithmiq’s Tensor Network Error Mitigation (TEM) solution, marking a significant performance boost in quantum error mitigation.
HELSINKI – November 18th, 2024: Algorithmiq today announced a venture to accelerate error mitigation techniques for near-term quantum devices. Algorithmiq’s innovative quantum software solutions, paired with NVIDIA-accelerated supercomputing, are aimed at dramatically speeding up the timeline for achieving practical quantum advantage. This offers the potential to overcome current limitations in quantum computing, paving the way for more stable, cost-efficient, and robust quantum systems.
Early tests demonstrate that NVIDIA-accelerated quantum platform can boost the performance of Algorithmiq’s Tensor Network Error Mitigation (TEM) by 300x compared to its original implementation, marking a substantial advancement in quantum error mitigation. By leveraging NVIDIA accelerated computing capabilities, Algorithmiq seeks to enhance the performance and reliability of near-term quantum devices, bringing the industry closer to realizing quantum advantage across various sectors.
Sabrina Maniscalco, CEO and co-founder of Algorithmiq, said, “Algorithmiq is uniquely positioned to further the development of quantum computing applications across a vast number of industries. The substantial acceleration of our TEM solution with NVIDIA-accelerated supercomputing is a game-changer for quantum error mitigation. Working with NVIDIA creates a tremendous synergy that is poised to drive unprecedented advancements in quantum computing. We’re not just pushing boundaries but redefining what’s possible in the quantum realm.”
“Quantum computing’s future hinges on its seamless integration with AI supercomputing,” said Elica (Elitsa) Kyoseva, director of quantum algorithm engineering at NVIDIA. “NVIDIA technologies, integrated with innovations such as Algorithmiq’s quantum software, are powering the research that’s bringing useful quantum applications closer to reality and showcasing the crucial role AI supercomputing will play in quantum computing.”
Algorithmiq’s integration of NVIDIA-accelerated supercomputing is expected to yield initial results by Q2 2025. The company plans to showcase its powerful applications of GPU-enabled quantum computing solutions at upcoming industry events. These advancements are anticipated to pave the way to applications across multiple industries, from finance and healthcare to materials science and cryptography.
For more information about Algorithmiq’s work with NVIDIA and its implications for the future of quantum computing, please visit algorithmiq.fi.
About Algorithmiq
Algorithmiq is pioneering the integration of quantum computing, artificial intelligence (AI), and network science to solve the world’s most complex problems. Co-founded by Sabrina Maniscalco, Guillermo García-Pérez, Matteo Rossi, and Boris Sokolov, the company develops advanced quantum algorithms focusing on, but not limited to, Life Sciences applications to accelerate drug discovery and development. This enables faster, more precise, and cost-effective creation of precise medical treatments.