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The Focked-up ZX Calculus: Picturing Continuous-Variable Quantum Computation
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While the ZX and ZW calculi have been effective as graphical reasoning tools for finite-dimensional quantum computation, the possibilities for continuous-variable quantum computation (CVQC) in infinite-dimensional Hilbert space are only beginning to be explored. In this work, we formulate a graphical language for CVQC. Each diagram is an undirected graph made of two types of spiders: the Z spider from the ZX calculus defined on the reals, and the newly introduced Fock spider defined on the natural numbers. The Z and X spiders represent functions in position and momentum space respectively, while the Fock spider represents functions in the discrete Fock basis. In addition to the Fourier transform between Z and X, and the Hermite transform between Z and Fock, we present exciting new graphical rules capturing heftier CVQC interactions. We ensure this calculus is complete for all of Gaussian CVQC interpreted in infinite-dimensional Hilbert space, by translating the completeness in affine Lagrangian relations by Booth, Carette, and Comfort. Applying our calculus for quantum error correction, we derive graphical representations of the Gottesman-Kitaev-Preskill (GKP) code encoder, syndrome measurement, and magic state distillation of Hadamard eigenstates. Finally, we elucidate Gaussian boson sampling by providing a fully graphical proof that its circuit samples submatrix hafnians.
Forward citations
Cited by 3 Pith papers
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Formal Verification of Continuous-Variable Quantum Programs
A sound and relatively complete Hoare logic for continuous-variable quantum programs, with polynomial assertions and an automated weakest-precondition calculator.
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Graphical Calculus for Fermionic Tensors
A parity-aware graphical calculus extends the ZX diagram language to fermionic modes, covering Gaussian states, partial traces, purification, fermionization/bosonization, and fermionic error-correcting codes.
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Gaussian Models to Non-Gaussian Realms of Quantum Photonic Simulators
A review of photonic quantum simulators, their Gaussian and non-Gaussian capabilities, and the computational techniques needed to scale them.
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