Combining neutral-atom physics, leakage-aware simulation, and the NVIDIA Ising family of open models for decoding to move faster toward practical fault-tolerant quantum computing Quantum error correction (QEC) is often described as a quantum problem. In practice, it is also a classical computing problem. Every round of QEC generates information that must be processed quickly enough … Read more
CML Unlocks AI’s Full Potential with Enhanced Pattern Recognition, Prediction, and Real-Time Decision-Making for Defense, Autonomous Systems, and Next-Gen Computing BOULDER, Colo.–(BUSINESS WIRE)–Infleqtion, a global leader in quantum information technologies, today unveiled Contextual Machine Learning (CML) at GTC 2025. CML is a novel AI approach that allows machine learning models to process information over longer … Read more
Infleqtion announced that it has been selected by DARPA to advance the state-of-the-art quantum algorithms for generative machine learning.
Infleqtion is delighted to announce their successful bid for Q-CALC (Quantum Contextual Artificial Intelligence for Long-range Correlations). Q-CALC represents a bold initiative at the intersection of quantum computing and artificial intelligence, with the goal of advancing the capabilities of AI and machine learning systems in handling datasets with complex correlations.
Infleqtion announced that it had been awarded funding from Wellcome Leap’s Quantum for Bio (Q4Bio) program with a team of renowned researchers and medical doctors at the University of Chicago (UChicago) and Massachusetts Institute of Technology (MIT). This collaborative effort aims to transform cancer care by harnessing the power of artificial intelligence (AI) and quantum algorithms to drive personalized diagnostics and treatments.