Jacob Johansen

Helios: A 98-qubit trapped-ion quantum computer

Anthony Ransford [1], M. S. Allman, Jake Arkinstall [2,1], J. P. Campora, Samuel F. Cooper [1], Robert D. Delaney [1], Joan M. Dreiling [1], Brian Estey [1], Caroline Figgatt [1], Alex Hall [1], Ali A. Husain [3], Akhil Isanaka [1], Colin J. Kennedy [1], Nikhil Kotibhaskar [4], Ivaylo S. Madjarov [1], Karl Mayer [1], Alistair R. Milne [4], Annie J. Park [1], Adam P. Reed [1], Riley Ancona [1], Molly P. Andersen [5], Pablo Andres-Martinez [2], Will Angenent [2], Liz Argueta [1], Benjamin Arkin [1], Leonardo Ascarrunz [1], William Baker [1], Corey Barnes [1], John Bartolotta [1], Jordan Berg [1], Ryan Besand [1], Bryce Bjork [1], Matt Blain [5], Paul Blanchard [1], Robin Blume-Kohout [6], Matt Bohn [1,2], Agustin Borgna, Daniel Y. Botamanenko [1], Robert Boutelle [1], Natalie Brown [1], Grant T. Buckingham [1], Nathaniel Q. Burdick [3], William Cody Burton [1], Varis Carey [1], Christopher J. Carron [5], Joe Chambers [1], John Children [2], Victor E. Colussi [1], Steven Crepinsek [1], Andrew Cureton [1], Joe Davies [5], Daniel Davis [1], Matthew DeCross [1], David Deen [3], Conor Delaney [1], Davide DelVento [1], B. J. DeSalvo, Jason Dominy [1], Ross Duncan [7], Vanya Eccles [2], Alec Edgington [2], Neal Erickson [1], Stephen Erickson [1], Christopher T. Ertsgaard [5], Bruce Evans [1], Tyler Evans [1], Maya I. Fabrikant [1], Andrew Fischer [1], Cameron Foltz [1], Michael Foss-Feig [1], David Francois [1], Brad Freyberg [1], Charles Gao [1], Robert Garay [1], Jane Garvin [1], David M. Gaudiosi [1], Christopher N. Gilbreth [1], Josh Giles [1], Erin Glynn [1], Jeff Graves [1], Azure Hansen [1], David Hayes [1], Lukas Heidemann [2], Bob Higashi [5], Tyler Hilbun [1], Jordan Hines [6], Ariana Hlavaty [2], Kyle Hoffman [1], Ian M. Hoffman [1], Craig Holliman [7], Isobel Hooper [2], Bob Horning [5], James Hostetter [3], Daniel Hothem [8], Jack Houlton [1], Jared Hout [1], Ross Hutson [1], Ryan T. Jacobs [1], Trent Jacobs [1], Melf Johannsen [2], Jacob Johansen [1], Loren Jones [1], Sydney Julian [1], Ryan Jung [5], Aidan Keay [2], Todd Klein [5], Mark Koch [2], Ryo Kondo [1], Chang Kong [1], Asa Kosto [1], Alan Lawrence [2], David Liefer [1], Michelle Lollie [1], Dominic Lucchetti [1], Nathan K. Lysne [7], Christian Lytle [1], Callum MacPherson [2], Andrew Malm [1], Spencer Mather [1], Brian Mathewson [1], Daniel Maxwell [3], Lauren McCaffrey [1], Hannah McDougall [1], Robin Mendoza [1], Michael Mills [1], Richard Morrison [2], Louis Narmour [1], Nhung Nguyen [1], Lora Nugent [1], Scott Olson [5], Daniel Ouellette [5], Jeremy Parks [1], Zach Peters [1], Jessie Petricka [1], Juan M. Pino [1], Frank Polito [1], Matthias Preidl [5], Gabriel Price [1], Timothy Proctor [8], McKinley Pugh [1], Noah Ratcliff [1], Daisy Raymondson [1], Peter Rhodes [1], Conrad Roman [1], Craig Roy [2], Ciaran Ryan-Anderson [1], Fernando Betanzo Sanchez [2], George Sangiolo [2], Tatiana Sawadski [2], Andrew Schaffer [3], Peter Schow [1], Jon Sedlacek [3], Henry Semenenko [2], Peter Shevchuk [1], Susan Shore [5], Peter Siegfried [1], Kartik Singhal [1], Seyon Sivarajah [2], Thomas Skripka [1], Lucas Sletten [3], Ben Spaun [1], R. Tucker Sprenkle [1], Paul Stoufer [1], Mariel Tader [1], Stephen F. Taylor [3], Travis H. Thompson [2], Raanan Tobey [1], Anh Tran [1], Tam Tran [1], Grahame Vittorini [3], Curtis Volin [3], Jim Walker [1], Sam White [2], Douglas Wilson [2], Quinn Wolf [1], Chester Wringe [2], Kevin Young [8], Jian Zheng [1], Kristen Zuraski [1], Charles H. Baldwin [1], Alex Chernoguzov [1], John P. Gaebler [1], Steven J. Sanders [1], Brian Neyenhuis [1], Russell Stutz [1], Justin G. Bohnet [1]

Abstract

We report on Quantinuum Helios, a 98-qubit trapped-ion quantum processor based on the quantum charge-coupled device (QCCD) architecture. Helios features $^{137}$Ba$^{+}$ hyperfine qubits, all-to-all connectivity enabled by a rotatable ion storage ring connecting two quantum operation regions by a junction, speed improvements from parallelized operations, and a new software stack with real-time compilation of dynamic programs. Averaged over all operational zones in the system, we achieve average infidelities of $2.5(1)\times10^{-5}$ for single-qubit gates, $7.9(2)\times10^{-4}$ for two-qubit gates, and $4.8(6)\times10^{-4}$ for state preparation and measurement, none of which are fundamentally limited and likely able to be improved. These component infidelities are predictive of system-level performance in both random Clifford circuits and random circuit sampling, the latter demonstrating that Helios operates well beyond the reach of classical simulation and establishes a new frontier of fidelity and complexity for quantum computers.

Qutrit Toric Code and Parafermions in Trapped Ions

Mohsin Iqbal [1], Anasuya Lyons [2], Chiu Fan Bowen Lo [2], Nathanan Tantivasadakarn [3,4], Joan Dreiling, Cameron Foltz [4], Thomas M. Gatterman [4], Dan Gresh [4], Nathan Hewitt [4], Craig A. Holliman [4], Jacob Johansen [4], Brian Neyenhuis [4], Yohei Matsuoka [4], Michael Mills [4], Steven A. Moses [4], Peter Siegfried [4], Ashvin Vishwanath [2], Ruben Verresen [5,2], Henrik Dreyer [1]

Abstract

The development of programmable quantum devices can be measured by the complexity of manybody states that they are able to prepare. Among the most significant are topologically ordered states of matter, which enable robust quantum information storage and processing. While topological orders are more readily accessible with qudits, experimental realisations have thus far been limited to lattice models of qubits. Here, we prepare a ground state of the Z3 toric code state on 24 qutrits in a trapped ion quantum processor with fidelity per qutrit exceeding 96.5(3)%. We manipulate two types of defects which go beyond the conventional qubit toric code: a parafermion, and its bound state which is related to charge conjugation symmetry. We further demonstrate defect fusion and the transfer of entanglement between anyons and defects, which we use to control topological qutrits. Our work opens up the space of long-range entangled states with qudit degrees of freedom for use in quantum simulation and universal error-correcting codes.

Benchmarking logical three-qubit quantum Fourier transform encoded in the Steane code on a trapped-ion quantum computer

Karl Mayer, Ciarán Ryan-Anderson, Natalie Brown, Elijah Durso-Sabina, Charles H. Baldwin, David Hayes, Joan M. Dreiling, Cameron Foltz, John P. Gaebler, Thomas M. Gatterman, Justin A. Gerber, Kevin Gilmore, Dan Gresh, Nathan Hewitt, Chandler V. Horst, Jacob Johansen, Tanner Mengle, Michael Mills, Steven A. Moses, Peter E. Siegfried, Brian Neyenhuis, Juan Pino, Russell Stutz [15]

Abstract

We implement logically encoded three-qubit circuits for the quantum Fourier transform (QFT), using the [[7,1,3]] Steane code, and benchmark the circuits on the Quantinuum H2-1 trapped-ion quantum computer. The circuits require multiple logical two-qubit gates, which are implemented transversally, as well as logical non-Clifford single-qubit rotations, which are performed by non-fault-tolerant state preparation followed by a teleportation gadget. First, we benchmark individual logical components using randomized benchmarking for the logical two-qubit gate, and a Ramsey-type experiment for the logical $T$ gate. We then implement the full QFT circuit, using two different methods for performing a logical control-$T$, and benchmark the circuits by applying it to each basis state in a set of bases that is sufficient to lower bound the process fidelity. We compare the logical QFT benchmark results to predictions based on the logical component benchmarks.

Measuring the Loschmidt amplitude for finite-energy properties of the Fermi-Hubbard model on an ion-trap quantum computer

Kévin Hémery, Khaldoon Ghanem [1], Eleanor Crane [1,2], Sara L. Campbell [3], Joan M. Dreiling [3], Caroline Figgatt [3], Cameron Foltz [3], John P. Gaebler [3], Jacob Johansen [3], Michael Mills [3], Steven A. Moses [3], Juan M. Pino [3], Anthony Ransford [3], Mary Rowe [3], Peter Siegfried [3], Russell P. Stutz [3], Henrik Dreyer [1], Alexander Schuckert [1,2], Ramil Nigmatullin [4]

Abstract

Calculating the equilibrium properties of condensed matter systems is one of the promising applications of near-term quantum computing. Recently, hybrid quantum-classical time-series algorithms have been proposed to efficiently extract these properties from a measurement of the Loschmidt amplitude $\langle ψ| e^{-i \hat H t}|ψ\rangle$ from initial states $|ψ\rangle$ and a time evolution under the Hamiltonian $\hat H$ up to short times $t$. In this work, we study the operation of this algorithm on a present-day quantum computer. Specifically, we measure the Loschmidt amplitude for the Fermi-Hubbard model on a $16$-site ladder geometry (32 orbitals) on the Quantinuum H2-1 trapped-ion device. We assess the effect of noise on the Loschmidt amplitude and implement algorithm-specific error mitigation techniques. By using a thus-motivated error model, we numerically analyze the influence of noise on the full operation of the quantum-classical algorithm by measuring expectation values of local observables at finite energies. Finally, we estimate the resources needed for scaling up the algorithm.

Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem

Ruslan Shaydulin [1], Changhao Li [1], Shouvanik Chakrabarti [1], Matthew DeCross [2], Dylan Herman [1], Niraj Kumar [1], Jeffrey Larson [3], Danylo Lykov [1,4], Pierre Minssen [1], Yue Sun [1], Yuri Alexeev [4], Joan M. Dreiling [2], John P. Gaebler [2], Thomas M. Gatterman [2], Justin A. Gerber [2], Kevin Gilmore [2], Dan Gresh [2], Nathan Hewitt [2], Chandler V. Horst [2], Shaohan Hu [1], Jacob Johansen [2], Mitchell Matheny [2], Tanner Mengle [2], Michael Mills [2], Steven A. Moses [2], Brian Neyenhuis [2], Peter Siegfried [2], Romina Yalovetzky [1], Marco Pistoia [1]

Abstract

The quantum approximate optimization algorithm (QAOA) is a leading candidate algorithm for solving optimization problems on quantum computers. However, the potential of QAOA to tackle classically intractable problems remains unclear. Here, we perform an extensive numerical investigation of QAOA on the low autocorrelation binary sequences (LABS) problem, which is classically intractable even for moderately sized instances. We perform noiseless simulations with up to 40 qubits and observe that the runtime of QAOA with fixed parameters scales better than branch-and-bound solvers, which are the state-of-the-art exact solvers for LABS. The combination of QAOA with quantum minimum finding gives the best empirical scaling of any algorithm for the LABS problem. We demonstrate experimental progress in executing QAOA for the LABS problem using an algorithm-specific error detection scheme on Quantinuum trapped-ion processors. Our results provide evidence for the utility of QAOA as an algorithmic component that enables quantum speedups.

Non-Abelian Topological Order and Anyons on a Trapped-Ion Processor

Mohsin Iqbal [1], Nathanan Tantivasadakarn [2], Ruben Verresen [3], Sara L. Campbell [4], Joan M. Dreiling [4], Caroline Figgatt [4], John P. Gaebler [4], Jacob Johansen [4], Michael Mills [4], Steven A. Moses [4], Juan M. Pino [4], Anthony Ransford [4], Mary Rowe [4], Peter Siegfried [4], Russell P. Stutz [4], Michael Foss-Feig [4], Ashvin Vishwanath [3], Henrik Dreyer [1]

Abstract

Non-Abelian topological order (TO) is a coveted state of matter with remarkable properties, including quasiparticles that can remember the sequence in which they are exchanged. These anyonic excitations are promising building blocks of fault-tolerant quantum computers. However, despite extensive efforts, non-Abelian TO and its excitations have remained elusive, unlike the simpler quasiparticles or defects in Abelian TO. In this work, we present the first unambiguous realization of non-Abelian TO and demonstrate control of its anyons. Using an adaptive circuit on Quantinuum's H2 trapped-ion quantum processor, we create the ground state wavefunction of $D_4$ TO on a kagome lattice of 27 qubits, with fidelity per site exceeding $98.4\%$. By creating and moving anyons along Borromean rings in spacetime, anyon interferometry detects an intrinsically non-Abelian braiding process. Furthermore, tunneling non-Abelions around a torus creates all 22 ground states, as well as an excited state with a single anyon -- a peculiar feature of non-Abelian TO. This work illustrates the counterintuitive nature of non-Abelions and enables their study in quantum devices.