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not mandatory, expertise in quantum platform software such as Qiskit or cuda-q. *Numerical expertise with classical simulations of quantum circuits, including tensor-network based approaches
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colleagues focused on other theoretical techniques. Preferred Knowledge, Skills, and Abilities: *Numerical expertise in tensor networks and matrix product states OR analytical field-theoretic expertise
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research interests, and three letters of reference, should be submitted through the application portal located at: https://indiana.peopleadmin.com/postings/31658 Review of applications will begin on January
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, including tensor-network based approaches. Application Instructions: Candidates are required to submit a Resume or CV and a Research Statement, not to exceed 3 pages in length. Please upload all documents
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expertise in tensor networks and matrix product states OR analytical field-theoretic expertise. Familiarity with topological phases of matter and their classification. Some experience with quantum
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Prof. Slava Rychkov on problems of interest to the Simons Collaboration on Probabilistic Paths to Quantum Field Theory, in particular on the tensor network renormalization group for statistical physics
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the specific characteristics of viscoelastic fluid models, which will provide a dataset for training the tensor-based neural network (TBNN). Subsequently, the TBNN model will be tested on deformation protocols
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Application deadline: 07/01/2026 Research theme: Theoretical Physics, Quantum Theory, Quantum Information, Applied Mathematics How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5 yearlong
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operators in solving partial differential equation systems with applications in mechanical engineering. Task 3 – Apply tensor-based neural networks (TBNN) to discover a constitutive equation for a real
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were constructed. The results will be compared with those for a charged scalar field [2]. The second part of the project involves computing the renormalized expectation value of the stress-energy tensor