Quiroga, D. A., & Kyrillidis, A. (2023). Using non-convex optimization in quantum process tomography: Factored gradient descent is tough to beat.
Style de citation Chicago (17e éd.)Quiroga, David A., et Anastasios Kyrillidis. Using Non-convex Optimization in Quantum Process Tomography: Factored Gradient Descent Is Tough to Beat. 2023.
Style de citation MLA (9e éd.)Quiroga, David A., et Anastasios Kyrillidis. Using Non-convex Optimization in Quantum Process Tomography: Factored Gradient Descent Is Tough to Beat. 2023.
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