Studying Stabilizer de Finetti Theorems and Possible Applications in Quantum Information Processing

• URL: http://arxiv.org/abs/2403.10592v1
• Date: Fri, 15 Mar 2024 17:55:12 GMT
• Title: Studying Stabilizer de Finetti Theorems and Possible Applications in Quantum Information Processing
• Authors: Paula Belzig,
• Abstract summary: In quantum information theory, if a quantum state is invariant under permutations of its subsystems, its marginal can be approximated by a mixture of powers of a state on a single subsystem. Recently, it has been discovered that a similar observation can be made for a larger symmetry group than permutations. This naturally raises the question if similar improvements could be found for applications where this symmetry appears.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Symmetries are of fundamental interest in many areas of science. In quantum information theory, if a quantum state is invariant under permutations of its subsystems, it is a well-known and widely used result that its marginal can be approximated by a mixture of tensor powers of a state on a single subsystem. Applications of this quantum de Finetti theorem range from quantum key distribution (QKD) to quantum state tomography and numerical separability tests. Recently, it has been discovered by Gross, Nezami and Walter that a similar observation can be made for a larger symmetry group than permutations: states that are invariant under stochastic orthogonal symmetry are approximated by tensor powers of stabilizer states, with an exponentially smaller overhead than previously possible. This naturally raises the question if similar improvements could be found for applications where this symmetry appears (or can be enforced). Here, two such examples are investigated.

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