Dominik Leichtle
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    • Composably Secure Delegated Quantum Computation with Weak Coherent Pulses
    • Composably Secure Delegated Quantum Computation with Weak Coherent Pulses
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    • Heuristic-free Verification-inspired Quantum Benchmarking
    • On-Chip Verified Quantum Computation with an Ion-Trap Quantum Processing Unit
    • Quantum error suppression with subgroup stabilisation projectors
    • Security and Efficiency of Delegated Quantum Computing
    • Unifying quantum verification and error-detection: theory and tools for optimisations
    • Verifiable blind quantum computing with trapped ions and single photons
    • Verification of quantum computations without trusted preparations or measurements
    • Asymmetric Quantum Secure Multi-Party Computation With Weak Clients Against Dishonest Majority
    • Multi-client distributed blind quantum computation with the Qline architecture
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scikit-learn

Oct 26, 2023 · 1 min read
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scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

Last updated on Oct 26, 2023
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Dominik Leichtle
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Dominik Leichtle
Postdoctoral Researcher
← PyTorch Oct 26, 2023

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