Constrained quantum tomography of semi-algebraic sets with applications to low-rank matrix recovery

Keyphrases

• Low-rank Matrix Recovery 100%
• Semi-algebraic Sets 100%
• Quantum Tomography 100%
• Von Neumann Measurement 100%
• Two-state 66%
• Semialgebraic 66%
• State Space 33%
• Number of Measurements 33%
• Generic Outcomes 33%
• Rank-one 33%
• Hilbert Space 33%
• Minimal number 33%
• State Observation 33%
• Hermitian Matrix 33%
• N-dimensional 33%
• Positive Operator-valued Measure 33%
• Linear Measurements 33%
• Local Observables 33%
• Real Algebraic Geometry 33%
• Tight Frame 33%

Mathematics

• Matrix (Mathematics) 100%
• Algebraic Set 100%
• Von Neumann Measurement 100%
• Upper Bound 33%
• Positive Operator 33%
• Hermitian Matrix 33%
• Real Algebraic Geometry 33%
• Valued Measure 33%
• Tight Frame 33%
• Dimensional Hilbert Space 33%
• Quantum State 33%
• Minimal Number 33%