2014
DOI: 10.48550/arxiv.1409.3208
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Normalizer circuits and a Gottesman-Knill theorem for infinite-dimensional systems

Abstract: Normalizer circuits [1,2] are generalized Clifford circuits that act on arbitrary finite-dimensional systems H d1 ⊗ • • •⊗ H dn with a standard basis labeled by the elements of a finite Abelian group G = Z d1 × • • • × Z dn . Normalizer gates implement operations associated with the group G and can be of three types: quantum Fourier transforms, group automorphism gates and quadratic phase gates. In this work, we extend the normalizer formalism [1,2] to infinite dimensions, by allowing normalizer gates to act o… Show more

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Cited by 5 publications
(47 citation statements)
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References 81 publications
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“…We extended earlier results on odd-prime dimensional qudits [4,5] and rebits [6], and thereby completed establishing contextuality as a resource in QCSI in arbitrary prime dimensions. We conjecture that this result generalizes to all composite dimensions [15] (the composite odd case was recently covered after completion of this work [16]) and to algebraic extensions of QCSI models based on normalizer gates [11,[17][18][19][20]. Further, we demonstrated the applicability of our result to a concrete qubit QCSI scheme that does not exhibit state independent contextuality while retaining tomographic completeness.…”
Section: Classical Processing and Feedforwardsupporting
confidence: 54%
“…We extended earlier results on odd-prime dimensional qudits [4,5] and rebits [6], and thereby completed establishing contextuality as a resource in QCSI in arbitrary prime dimensions. We conjecture that this result generalizes to all composite dimensions [15] (the composite odd case was recently covered after completion of this work [16]) and to algebraic extensions of QCSI models based on normalizer gates [11,[17][18][19][20]. Further, we demonstrated the applicability of our result to a concrete qubit QCSI scheme that does not exhibit state independent contextuality while retaining tomographic completeness.…”
Section: Classical Processing and Feedforwardsupporting
confidence: 54%
“…Our approach was inspired by a (fairly unexpected) recently discovered connection by Bermejo-Vega-Lin-Van den Nest [36], between Shor's algorithm and two other foundational results in quantum computation, namely, Gottesman's Pauli stabilizer formalism (PSF) [37], widely used in quantum error correction, and the Gottesman-Knill theorem [37][38][39], which proves the efficient classical simulability of Clifford circuits. In short, the BVLVdN connection states that the quantum algorithms for abelian HSPs belong to a common family of highly structured quantum circuits built of normalizer gates over abelian groups [40][41][42] (quantum Fourier transforms, group automorphism gates, and quadratic phase gates). This fact, combined with the generalized Group Stabilizer Formalism (GSF) for simulating normalizer circuits [40][41][42], was used to prove a sharp no-go theorem for finding new quantum algorithms with the standard abelian group Fourier sampling techniques.…”
Section: Background and Motivationmentioning
confidence: 99%
“…In short, the BVLVdN connection states that the quantum algorithms for abelian HSPs belong to a common family of highly structured quantum circuits built of normalizer gates over abelian groups [40][41][42] (quantum Fourier transforms, group automorphism gates, and quadratic phase gates). This fact, combined with the generalized Group Stabilizer Formalism (GSF) for simulating normalizer circuits [40][41][42], was used to prove a sharp no-go theorem for finding new quantum algorithms with the standard abelian group Fourier sampling techniques.…”
Section: Background and Motivationmentioning
confidence: 99%
“…As is typical of quantum codes, there is an "easy" subset of all possible operators that aid us in the above tasks in a reasonably fault-tolerant manner. For U 1 -rotors, such normalizer or symplectic operations are generated by certain quadratic functions of the rotors' positions and momenta [129,130].…”
Section: B Gates Recovery and Initializationmentioning
confidence: 99%