Shival Dasu

Computing with many encoded logical qubits beyond break-even

Shival Dasu [1], Matthew DeCross [1], Andrew Y. Guo [1], Ali Lavasani [1], Jan Behrends [2], Asmae Benhemou [3], Yi-Hsiang Chen [1], Karl Mayer [1], Chris N. Self [2], Selwyn Simsek [3], Basudha Srivastava [2,1], M. S. Allman, Jake Arkinstall [2], Justin G. Bohnet [1], Nathaniel Q. Burdick [4,1], J. P. Campora, Alex Chernoguzov [1], Samuel F. Cooper [1], Robert D. Delaney [1], Joan M. Dreiling [1], Brian Estey [1], Caroline Figgatt [1], Cameron Foltz [1], John P. Gaebler [1], Alex Hall [1], Craig A. Holliman [5], Ali A. Husain [4], Akhil Isanaka [1], Colin J. Kennedy [1], Yuga Kodama [5], Nikhil Kotibhaskar [3], Nathan K. Lysne [5], Ivaylo S. Madjarov [1], Michael Mills [1], Alistair R. Milne [3], Brian Neyenhuis [1], Annie J. Park [1], Anthony Ransford [1], Adam P. Reed [1], Steven J. Sanders [1], Charles H. Baldwin [1], David Hayes [1], Ben Criger [2], Andrew C. Potter [1], David Amaro [3]

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 $[[ k+2,\, k,\, 2 ]]$ iceberg quantum error detecting (QED) and $[[ (k_2 + 2)(k_1 + 2),\, k_2k_1,\, 4 ]]$ 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) and partially-fault-tolerant (pFT) component and application benchmarks with between $48$ and $94$ logical qubits. These benchmarks include FT state preparation and measurement, QEC cycle benchmarking, logical gate benchmarking, GHZ state preparation, and a pFT quantum simulation of the three-dimensional $XY$ model of quantum magnetism. Additionally, we illustrate that postselection rates can be suppressed by increasing the code distance via concatenation. Our results represent state-of-the-art logical component and state fidelities and provide evidence that high-rate QED/QEC codes are viable on contemporary quantum computers for near-term beyond-classical-scale computation.

Breaking even with magic: demonstration of a high-fidelity logical non-Clifford gate

Shival Dasu [1], Simon Burton [2], Karl Mayer [1], David Amaro [2], Justin A. Gerber [1], Kevin Gilmore [1], Dan Gresh [1], Davide DelVento [1], Andrew C. Potter [1], David Hayes [1]

Abstract

Encoding quantum information to protect it from errors is essential for performing large-scale quantum computations. Performing a universal set of quantum gates on encoded states demands a potentially large resource overhead and minimizing this overhead is key for the practical development of large-scale fault-tolerant quantum computers. We propose and experimentally implement a magic-state preparation protocol to fault-tolerantly prepare a pair of logical magic states in a [[6,2,2]] quantum error-detecting code using only eight physical qubits. Implementing this protocol on H1-1, a 20 qubit trapped-ion quantum processor, we prepare magic states with experimental infidelity $7^{+3}_{-1}\times 10^{-5}$ with a $14.8^{+1}_{-1}\%$ discard rate and use these to perform a fault-tolerant non-Clifford gate, the controlled-Hadamard (CH), with logical infidelity $\leq 2.3^{+9}_{-9}\times 10^{-4}$. Notably, this significantly outperforms the unencoded physical CH infidelity of $10^{-3}$. Through circuit-level stabilizer simulations, we show that this protocol can be self-concatenated to produce extremely high-fidelity magic states with low space-time overhead in a [[36,4,4]] quantum error correcting code, with logical error rates of $6\times 10^{-10}$ ($5\times 10^{-14}$) at two-qubit error rate of $10^{-3}$ ($10^{-4}$) respectively.