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Fault-tolerant one-bit addition with the smallest interesting color code

Yang Wang, Selwyn Simsek, Thomas M. Gatterman, Justin A. Gerber, Kevin Gilmore, Dan Gresh, Nathan Hewitt, Chandler V. Horst, Mitchell Matheny, Tanner Mengle, Brian Neyenhuis, Ben Criger

2024Science Advances28 citationsDOIOpen Access PDF

Abstract

Fault-tolerant operations based on stabilizer codes are the state of the art in suppressing error rates in quantum computations. Most such codes do not permit a straightforward implementation of non-Clifford logical operations, which are necessary to define a universal gate set. As a result, implementations of these operations must use either error-correcting codes with more complicated error correction procedures or gate teleportation and magic states, which are prepared at the logical level, increasing overhead to a degree that precludes near-term implementation. Here, we implement a small quantum algorithm, one-qubit addition, fault-tolerantly on a trapped-ion quantum computer, using the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><mml:mrow><mml:mo mathvariant="double-struck">[[</mml:mo><mml:mn>8</mml:mn><mml:mo>,</mml:mo><mml:mo> </mml:mo><mml:mn>3</mml:mn><mml:mo>,</mml:mo><mml:mo> </mml:mo><mml:mn>2</mml:mn><mml:mo mathvariant="double-struck">]]</mml:mo></mml:mrow></mml:math> color code. By removing unnecessary error correction circuits and using low-overhead techniques for fault-tolerant preparation and measurement, we reduce the number of error-prone two-qubit gates and measurements to 36. We observe arithmetic errors with a rate of ∼1.1 × 10 −3 for the fault-tolerant circuit and ∼9.5 × 10 −3 for the unencoded circuit.

Topics & Concepts

AlgorithmComputer scienceQuantum computerQubitMAGIC (telescope)Fault toleranceQuantumPhysicsQuantum mechanicsDistributed computingQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum-Dot Cellular Automata