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module for optimal, model-based, stochastic control in ADS. Sensitivity analyses on how these models trade accuracy, complexity and computational efficiency in virtual safety assessment simulations and in
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learning. At WACQT, there is an ongoing development of a cloud-based quantum computing software stack, enabling remote control of superconducting qubits. This stack is a complex and modular system
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computing software stack, enabling remote control of superconducting qubits. This stack is a complex and modular system that requires high availability and reliability. A prototype of the full software stack
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into the prediction module for optimal, model-based, stochastic control in ADS. Sensitivity analyses on how these models trade accuracy, complexity and computational efficiency in virtual safety assessment simulations