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: - Quantum computing with qudits, quantum error correction and fault-tolerance - Quantum optics of trapped ions and Rydberg atom arrays - Numerical tensor network techniques - Topological order and (de
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Alexandria, Virginia. The focus of these positions will be on quantum computing, quantum algorithms, quantum learning, quantum error correction, and quantum fault-tolerance. The successful candidate will join
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on natural language processing, computational linguistics, and data science. The main lab research areas are Arabic natural language processing (orthography normalization, grammatical error correction
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creating the fastest algorithms for modeling of entanglement purification circuits; creating the highest performance quantum error detection circuits; developing symbolic computer algebra systems for quantum
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languages such as Python or C Solid background in quantum mechanics Experience from working on quantum error-correction, open quantum systems, quantum optics, bosonic codes or continuous-variable quantum
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/software co-design for AI applications ● Radiation testing of electronic systems, with an emphasis on single event effects Preferred Qualifications: ● Experience in designing and modeling fault
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on close collaboration between the university and industry and aims to optimize processes, reduce error margins and increase productivity in the industrial companies involved in the project. Virtual models
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and learning occurs in a recursive Bayesian process by which the brain tries to minimize the error between the input and the brain’s expectation. In particular, MIB focuses on how music is involved in
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tracing for improved scalability, energy efficiency and fault tolerance in ML training / inference. We seek to improve our AI and machine learning work by bringing in tools to assist in training and
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are not limited to superconducting quantum circuits, circuit QED, quantum error correction, microwave quantum optics, variational quantum algorithms, and the application of machine learning to quantum