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compilation, optimization and error mitigation collaborate with theoretical computer scientists on developing noise-aware quantum programming paradigms Your Profile: Master in physics, computer science
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procedures for structural systems with the graduate student Consequence of Error/Judgement No applicable Supervision Received Prof. Tony T.Y. Yang (yang@civil.ubc.ca ) will provide high-level supervision
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focuses on AI-driven fault diagnosis, predictive analytics, and embedded self-healing mechanisms, with applications in aerospace, robotics, smart energy, and industrial automation. Based
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the near-term and in the fault-tolerant setting, developing new protocols in quantum error correction, finding more efficient ways to classically simulate quantum computations, or prove new foundational
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planned for this position will explore how to achieve correct behavior and required performance (in terms of throughput, latency), while considering concerns and constraints from various engineering domains
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Compression of quantum data under unreliable entanglement assistance Joint compression and error correction for robust communication in the quantum-classical internet Quantum embeddings for machine learning
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, providing them with essential improvements to aspects such as performance and fault-tolerance. Due to the critical nature of many distributed systems, their correctness is of crucial importance
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such as performance and fault-tolerance. Due to the critical nature of many distributed systems, their correctness is of crucial importance. The verification of distributed systems, however, is notoriously
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interpretation, trust, error tracing etc. XAI methods offer clear-box models, often comparable to DL in accuracy, yet better in 1st-time scenarios (where the AI has not exactly encountered the given situation with
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handling, enabling first-time-right manufacturing. The predictive quality of these tools relies on accurate constitutive models that describe the behavior of the molten material during forming. With