• TalentQ Seminar – Javier Robledo, Research Scientist at IBM

    Title: Chemistry Beyond Exact Solutions on a Quantum-Centric Supercomputer Abstract: A universal quantum computer can be used as a simulator capable of predicting properties of diverse quantum systems. Electronic structure […]

  • TalentQ Seminar – Antonio Rubio, Postdoctoral Researcher at ICFO

    TITLE: QUIONE: A quantum simulator based on ultracold strontium atoms ABSTRACT: Neutral atoms have a wide range of applications in quantum science and technology. Strontium atoms, in particular, are popular for their use as atomic clocks in the field of quantum […]

  • TalentQ SEMINAR | Henry Semenenko

    TITLE: Quantum Error Correction and Scaling with Trapped-Ions ABSTRACT: Quantinuum's quantum processors use the quantum charge-coupled device (QCCD) architecture with trapped-ion qubits to deliver leading performance with high-fidelity gates and […]

  • Quantum Technologies for Young Researchers (QTYR)

    CSIC Central Campus Serrano 113, Madrid, Madrid, España

    QTYR24, the Quantum Technologies for Young Researchers workshop, is a conference designed specifically for scientists in the early stages of their careers working in various branches of Quantum Science. From […]

  • TalentQ SEMINAR | Esperanza Cuenca

    Title: Programming Heterogenous Quantum-Classical Supercomputing Architectures Abstract: Valuable quantum computing will integrate tightly with and depend on classical high-performance computing and AI. Such a hybrid system needs a programming model […]

  • TalentQ Seminar – Alejandro Gómez

    Title: Towards quantum advantage on the cloud: benchmarking a 20 qubit quantum computer Abstract: Quantum computing is a field with incredible potential to solve fundamental limitations of classical computing, as […]

  • TalentQ Seminar – Pablo Bermejo

    Title: Quantum Convolutional Neural Networks are (Effectively) Classically Simulable Abstract: Quantum Convolutional Neural Networks (QCNNs) are widely regarded as a promising model for Quantum Machine Learning (QML). In this work […]

  • TalentQ Seminar – Richard Kueng

    Title: Classical shadows in theory, numerics and experiment Abstract: Classical shadows are a scalable way to extract meaningful information from a n-qubit system in a scalable and online fashion. Crucially, […]

  • TalentQ Seminar – Roberta Zambrini

    Title: Reservoir computing with complex quantum systems Abstract: Non-conventional computing inspired by the brain, or neuromorphic computing, is a successful approach in a broad spectrum of applications, and in the […]

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