Interacting quantum observables: categorical algebra and diagrammatics
By Bob Coecke, Ross Duncan. arXiv.org, 2009
578 citations recorded by the source corpus.
This paper has two tightly intertwined aims: (i) to introduce an intuitive and universal graphical calculus for multi-qubit systems, the ZX-calculus, which greatly simplifies derivations in the area of quantum computation and information. (ii) To axiomatize complementarity of quantum observables within a general framework for physical theories in terms of dagger symmetric monoidal categories. We also axiomatize phase shifts within this framework. Using the well-studied canonical correspondence between graphical calculi and dagger symmetric monoidal categories, our results provide a purely graphical formalisation of complementarity for quantum observables. Each individual observable, represented by a commutative special dagger Frobenius algebra, gives rise to an Abelian group of phase shifts, which we call the phase group. We also identify a strong form of complementarity, satisfied by the Z- and X-spin observables, which yields a scaled variant of a bialgebra.
Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics, Mathematical Physics
View Paper: https://www.semanticscholar.org/paper/5aee63873bc5cde7022fc38f6036e10ce465bcc5
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Citations in the corpus
- The ZX-calculus is complete for stabilizer quantum mechanics (2013, methodology): “Unlike quantum circuit notation, the ZX-calculus developed in [5, 6] is not just a graphical notation: It has built-in rewrite rules, which transform one diagram into a different diagram representing the same overall process.”
- Categories in Control (2014, unknown): “However, it is surprising that most of these structures are present in a seemingly very different context: the so-called ‘ZX calculus’, a diagrammatic formalism for working with complementary observables in quantum theory [8].”
- t|ket⟩: a retargetable compiler for NISQ devices (2020, methodology): “The zx-calculus [71] is already incorporated into t|ket〉 and has proven an effective tool for MBQC calculations in the past [73, 93, 94].”