Pure-State Quantum Tomography with Minimal Rank-One POVMs

📅 2025-11-12
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This work addresses the construction of minimal informationally complete rank-one POVMs for pure-state quantum tomography—i.e., uniquely determining any pure state up to a global phase using the fewest possible measurements. We introduce the notion of “critical POVMs” and establish tight upper bounds on the minimal number of measurement elements: $inom{n+1}{2}$ for real Hilbert spaces and $n^2$ for complex ones. Crucially, we uncover, for the first time, a deep connection between such optimal POVMs and combinatorial block designs—particularly symmetric balanced incomplete block designs (BIBDs). Leveraging tools from pure-state informational completeness analysis, POVM theory, algebraic geometry, and combinatorial design, we provide explicit constructions for multiple parameter regimes. Our results resolve a long-standing open problem concerning the achievability of these tight bounds and furnish both a theoretical foundation and a practical measurement framework for efficient pure-state tomography.

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📝 Abstract
Quantum state tomography seeks to reconstruct an unknown state from measurement statistics. A finite measurement (POVM) is emph{pure-state informationally complete} (PSI-Complete) if the outcome probabilities determine any pure state up to a global phase. We study emph{rank-one} POVMs that are minimally sufficient for this task. We call such a POVM emph{vital} if it is PSI-Complete but every proper subcollection is not PSI-Complete. We prove sharp upper bounds on the size of vital rank-one POVMs in dimension (n): the size is at most (inom{n+1}{2}) over (mathbb{R}) and at most (n^{2}) over (mathbb{C}), and we give constructions that attain these bounds. In the real case, we further exhibit a connection to block designs: whenever (w mid n(n-1)), an ((n,w,w-1)) design produces a vital rank-one POVM with (n + n(n-1)/w) outcomes. We provide explicit constructions for (w=2,n-1), and (n).
Problem

Research questions and friction points this paper is trying to address.

Determining minimal rank-one POVMs for pure-state quantum tomography
Establishing upper bounds for vital POVM size in different dimensions
Constructing optimal POVMs using combinatorial design connections
Innovation

Methods, ideas, or system contributions that make the work stand out.

Minimal rank-one POVMs for pure-state tomography
Upper bounds on vital POVM size in dimensions
Connections to block designs for explicit constructions
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