Can a personalized AI be more useful?
News
Kim Martineau
Blog
Categories
Popular topics
16 results for Jay Gambetta
IBM Quantum delivers on performance challenge made two years ago
NewsJay Gambetta and Ryan MandelbaumThe hardware and software for the era of quantum utility is here
NewsJay GambettaCharting the course to 100,000 qubits
NewsJay Gambetta and Matthias SteffenQuantum-centric supercomputing: The next wave of computing
NewsJay GambettaWith fault tolerance the ultimate goal, error mitigation is the path that gets quantum computing to usefulness
Deep DiveKristan Temme, Ewout van den Berg, Abhinav Kandala, and Jay GambettaExpanding the IBM Quantum roadmap to anticipate the future of quantum-centric supercomputing (Updated 2024)
NewsJay Gambetta8 minute readIBM Quantum breaks the 100‑qubit processor barrier
NewsJerry Chow, Oliver Dial, and Jay Gambetta7 minute readIntroducing Quantum Serverless, a new programming model for leveraging quantum and classical resources
NewsBlake Johnson, Ismael Faro, Michael Behrendt, and Jay Gambetta9 minute readDriving quantum performance: more qubits, higher Quantum Volume, and now a proper measure of speed
NewsJay Gambetta, Ali Javadi-Abhari, Blake Johnson, Petar Jurcevic, Hanhee Paik, and Andrew Wack7 minute readBuilding Japan’s quantum future with IBM Quantum System One
NewsJay Gambetta and Kei Kawase7 minute readIBM’s roadmap for building an open quantum software ecosystem
NewsJay Gambetta, Ismael Faro, and Karl Wehden8 minute readRethinking quantum systems for faster, more efficient computation
NewsIsmael Faro, Blake Johnson, and Jay Gambetta3 minute readIBM’s roadmap for scaling quantum technology
NewsJay Gambetta6 minute readCharting the Course for the Future of Quantum Computing
NewsJay GambettaThe Qiskit Optimization Module starts a path to frictionless quantum computing
ReleaseJay GambettaOn “quantum supremacy”
ExplainerEdwin Pednault, Dmitri Maslov, John Gunnels, and Jay Gambetta
