Computing with many encoded logical qubits beyond break-even
Shival Dasu, Matthew DeCross, Andrew Y. Guo, Ali Lavasani, Jan Behrends, Asmae Benhemou, Yi-Hsiang Chen, Karl Mayer, Chris N. Self, Selwyn Simsek, Basudha Srivastava, M.S. Allman, Jake Arkinstall, Justin G. Bohnet, Nathaniel Q. Burdick, J.P. Campora III, Alex Chernoguzov

TL;DR
This paper demonstrates that high-rate quantum error detection and correction codes can outperform unencoded qubits on a 98-qubit trapped-ion quantum processor, showcasing state-of-the-art fidelities and the potential for near-term quantum advantage.
Contribution
It introduces and experimentally validates high-rate iceberg QED and QEC codes on a large trapped-ion quantum computer, surpassing break-even performance with practical postselection.
Findings
Outperforms unencoded qubits in various benchmarks
Achieves high logical fidelities with 48-94 qubits
Shows postselection rates can be improved by increasing code distance
Abstract
High-rate quantum error correcting (QEC) codes encode many logical qubits in a given number of physical qubits, making them promising candidates for quantum computation. Implementing high-rate codes at a scale that both frustrates classical computing and improves performance by encoding requires both high fidelity gates and long-range qubit connectivity -- both of which are offered by trapped-ion quantum computers. Here, we demonstrate computations that outperform their unencoded counterparts in the high-rate iceberg quantum error detecting (QED) and two-level concatenated iceberg QEC codes, using the 98-qubit Quantinuum Helios trapped-ion quantum processor. Utilizing new gadgets for encoded operations, we realize this "beyond break-even" performance with reasonable postselection rates across a range of fault-tolerant (FT)…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum and electron transport phenomena
