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Topological Order from Measurements and Feed-Forward on a Trapped Ion Quantum Computer
Mohsin Iqbal, Nathanan Tantivasadakarn, Thomas M. Gatterman, Justin A. Gerber, Kevin Gilmore, Dan Gresh, Aaron Hankin, Nathan Hewitt, Chandler V. Horst, Mitchell Matheny, Tanner Mengle, Brian Neyenhuis, Ashvin Vishwanath, Michael Foss-Feig, Ruben Verresen, Henrik Dreyer
TL;DR
Preparing topologically ordered states deterministically in constant depth is the target addressed here. The work combines mid-circuit measurement, feed-forward, and low-error gates, reporting high-fidelity toric-code preparation and measurements that verify fermionic braiding. It provides groundwork for preparing true non-Abelian topological orders.
Problem
The paper addresses deterministic, constant-depth preparation of topologically ordered states.
Source: §III · p. 5Method
The authors combine mid-circuit measurement, feed-forward, and low-error gates to prepare topologically ordered states.
Source: §III · p. 5Results
The toric-code preparation has energy density −0.929±0.004, and the fermionic braid signal is ℜ⟨em|Ubraid|em⟩= −0.87 ± 0.018.
Source: §I · p. 3, §II · p. 4Takeaways & Limitations
The demonstrated preparation lays groundwork for true non-Abelian topological orders, which may in some cases require the same overhead as Abelian counterparts.
Source: §III · p. 5
Abstract
from arXiv · showhide
Quantum systems evolve in time in one of two ways: through the Schr\"odinger equation or wavefunction collapse. So far, deterministic control of quantum many-body systems in the lab has focused on the former, due to the probabilistic nature of measurements. This imposes serious limitations: preparing long-range entangled states, for example, requires extensive circuit depth if restricted to unitary dynamics. In this work, we use mid-circuit measurement and feed-forward to implement deterministic non-unitary dynamics on Quantinuum's H1 programmable ion-trap quantum computer. Enabled by these capabilities, we demonstrate for the first time a constant-depth procedure for creating a toric code ground state in real-time. In addition to reaching high stabilizer fidelities, we create a non-Abelian defect whose presence is confirmed by transmuting anyons via braiding. This work clears the way towards creating complex topological orders in the lab and exploring deterministic non-unitary dynamics via measurement and feed-forward.
I. TORIC CODE PREPARATION WITH FEED-FORWARD
The protocol prepares a toric code ground state in constant depth by measuring plaquette operators and applying conditional corrections. Stabilizer, logical-string, and entanglement measurements indicate high-fidelity preparation consistent with the target ground state.
I. TORIC CODE PREPARATION WITH FEED-FORWARD
- The target is the toric code ground state on a square lattice with periodic boundaries, where four ground states are distinguished by logical strings wrapping around the torus.The chosen state has logical expectations ⟨Zhori⟩=⟨Zvert⟩=1.Source: §I · p. 2
- The three-step constant-depth procedure initializes qubits in |0⟩, measures Ap on odd plaquettes, then applies conditional single-qubit Z gates where Ap = −1.A lookup-table decoder identifies where to apply the corrections; measurements use both ancilla-free and one-ancilla strategies.Source: §I · p. 3
- Odd defect counts are heralded and discarded to account for syndrome-measurement errors, with roughly 10% of 1240 preparation runs discarded.Even for a completely depolarized state, the authors report that this procedure would discard only half the data.Source: §I · p. 3
- An energy density of −0.929±0.004 and logical-string expectations Zhori = 0.916 ± 0.0065 and Zvert = 0.914 ± 0.0064 indicate high-fidelity preparation of the target ground state.The measured X-type plaquette expectation is 0.944 ± 0.0049, versus 0.914 ± 0.0063 for Z-type plaquettes.Source: §I · p. 3
- γ/ ln 2 is 0.93 ± 0.055 for 2×2 regions and 1.05 ± 0.093 for 2×3 regions, consistent with Z2 topological order.The randomized-measurement scheme computes second Rényi entropies for connected regions of up to six qubits.Source: §I · p. 3
II. ANYON TRANSMUTATION AND INTERFEROMETRY
The authors study anyon dynamics in a toric-code state with two non-Abelian defects. Moving an anyon across the defects transmutes it, and an interferometric braid measurement verifies the fermionic statistics of an electric-magnetic composite.
II. ANYON TRANSMUTATION AND INTERFEROMETRY
- The defect state has an average expectation value per plaquette of 0.925 ± 0.0039, comparable to the toric code ground state.The geometry contains two defects formed by removing the central qubit and redefining stabilizers.Source: §II · p. 3, Figure 3 · p. 4
- Moving one magnetic anyon across the line connecting the defects transmutes it into an electric anyon, producing an electric-magnetic pair that cannot be created singly in a defect-free toric code.The final adjacent-plaquette stabilizer expectations are −0.92 ± 0.017 and −0.89 ± 0.020.Source: §II · pp. 3–4, Figure 3 · p. 4
- The interferometry creates an electric-magnetic pair next to the defect and applies a controlled braid, measuring its phase through an ancilla Hadamard test.The composite is fermionic because its wavefunction acquires a minus sign under braiding one constituent around the other.Source: §II · p. 4
- The interferometric braid signal is ℜ⟨em|Ubraid|em⟩= −0.87 ± 0.018, versus ℜ⟨gs|Ubraid|gs⟩= +0.87 ± 0.018 without the fermionic excitation, verifying fermionic exchange statistics.The controlled braiding operation uses only four two-qubit gates, enabled by effective all-to-all connectivity.Source: §II · p. 4
III. DISCUSSION AND OUTLOOK
The work combines mid-circuit measurement, feed-forward, and low-error gates to prepare topologically ordered states deterministically, in constant depth and with high fidelity. It studies Abelian orders and non-Abelian-character defects as groundwork for preparing true non-Abelian topological orders.
III. DISCUSSION AND OUTLOOK
- The demonstrated preparation combines mid-circuit measurement, feed-forward, and low-error gates to prepare topologically ordered states deterministically, in constant depth and with high fidelity.Effective all-to-all connectivity was vital for implementing periodic two-dimensional geometry and conditional dynamics.Source: §III · p. 5
- The work studies Abelian topological orders and defects with non-Abelian character within Abelian phases, laying groundwork for preparing true non-Abelian topological orders.The authors note that some such states may require the same overhead as Abelian counterparts, while multiple rounds of measurements and feed-forward can access more exotic states.Source: §III · p. 5
A. Entropy measurements from randomised measurements
Randomized measurements provide a route to estimating subsystem Rényi entropies and topological entanglement entropy. The experiment averages measurements over local-unitary settings and evaluates regions of two sizes.
A. Entropy measurements from randomised measurements
- The protocol estimates subsystem purity from randomized measurements and uses it to evaluate second-order Rényi entropies.It follows the purity-estimation protocol in; local unitaries are drawn from the circular unitary ensemble.Source: A. Entropy measurements from… · p. 8
- The experiment used 72 random local-unitary settings and 256 shots per setting, with parameters selected by grid search on the H1-1 emulator.An unbiased estimator was used to evaluate the squared outcome probabilities.Source: A. Entropy measurements from… · p. 8
- Without discarding shots with an odd number of heralded anyons, γ/ln 2 was 0.87 ± 0.055 for 2 × 2 regions and 1.00 ± 0.090 for 2 × 3 regions.These estimates are reported separately from the main-text procedure that discards such shots.Source: A. Entropy measurements from… · p. 8
- The topological entanglement entropy was estimated for 2 × 2 and 2 × 3 regions by averaging subsystem Rényi entropies across regions.The resulting uncertainty was evaluated by bootstrapping new samples from the dataset.Source: A. Entropy measurements from… · p. 8
B. Effects of Measurement Error Mitigation
The section models SPAM errors as local readout transitions and evaluates their mitigation. Correcting the data improves the reported energy density, with the result depending on whether heralded errors are discarded.
B. Effects of Measurement Error Mitigation
- The local transition matrix is characterized by readout-confusion probabilities: 0.1% for |0⟩ read as |1⟩ and 0.5% for |1⟩ read as |0⟩.Applying the inverse local transition matrix recovers the modeled ideal distribution efficiently.Source: B. Effects of Measurement Error… · p. 8
- SPAM correction improves energy density from −0.93 to −0.95 when the main-text heralded-error procedure is used.The model ignores correlated SPAM errors across multiple sites.Source: B. Effects of Measurement Error… · p. 8
- Without discarding heralded errors, SPAM mitigation improves energy density from −0.89 to −0.91.The correction models the noisy distribution as a local transition-matrix transform of the ideal distribution.Source: B. Effects of Measurement Error… · p. 8
C. Measurement and Decoding of the Ap-operator with and without ancillae
The preparation combines ancilla-based and modified ancilla-free parity checks with decoding, using measurement outcomes to prepare stabilizer eigenspaces and correct errors. The defect model adds dedicated state preparation and measurements for anyon transmutation and braiding interferometry.
C. Measurement and Decoding of the Ap-operator with and without ancillae
- Parity-check measurements project the state into stabilizer eigenspaces; the modified ancilla-free check autocorrects a −1 outcome while moving a potential error to an adjacent plaquette.This limits error accumulation to half of the X-type plaquettes and reduces subsequent decoding cost; the modification is convenient, not essential for high fidelity.Source: C. Measurement and Decoding of the… · pp. 8–9
- The 20-qubit device used ancilla-based checks on four X-type plaquettes and modified ancilla-free checks on the remaining four.The −1 outcome on a modified check moves the error or anyon to the diagonally adjacent target plaquette.Source: C. Measurement and Decoding of the… · p. 9
- The lookup-table decoder handles eight error possibilities, and the reported simple and later optimized decoders achieve almost the same energy density.Reusing ancillae saves eight two-qubit gates but generally increases depth, execution time, and potential memory errors; measuring all X-type plaquettes with ancillae gives a slight energy-density improvement, particularly for X-type plaquettes.Source: C. Measurement and Decoding of the… · p. 9
D. State Preparation and dynamics of the model with a defect
- For the defective model, five available qubits serve as ancillas for three X-type plaquettes and two defect plaquettes, while the other three X-type plaquettes use modified ancilla-free checks.Its stabilizers are measured in four settings, with corner and defect plaquettes measured twice.Source: D. State Preparation and dynamics of… · p. 9
- The anyon-transmutation sequence is followed by stabilizer measurements, while interferometry reads the real part of the braiding phase from the ancilla’s final ⟨Z⟩ expectation.Quantum nondemolition stabilizer measurements also track a magnetic anyon as it is moved into and then out of a defect plaquette.Source: D. State Preparation and dynamics of… · p. 9
E. Circuit Construction, Gate Count and Error Budget
The section reports the compiled circuit sizes and device specifications, then estimates how accumulated gate, memory, and SPAM errors compare with the measured global fidelity.
E. Circuit Construction, Gate Count and Error Budget
- At the time of the experiment, the device specifications reported average two-qubit gate fidelity of 99.7%, one-qubit fidelity of 99.996%, and state-preparation-and-measurement fidelity of 99.6%.The reported memory error was 1 − 99.97% per depth-1 circuit time per qubit.Source: E. Circuit Construction, Gate Count… · p. 9
- The defect-free circuit uses 484 one-qubit gates and 40 two-qubit gates; the defective circuit uses 423 one-qubit gates and 40 two-qubit gates.Both circuits were compiled to the native gate set and sent to the device using TKET.Source: E. Circuit Construction, Gate Count… · p. 9
- The measured global fidelity with the toric-code ground state was 0.80 ± 0.049.It was estimated from shadow density matrices using the randomized-measurement dataset also used for topological entanglement entropy.Source: E. Circuit Construction, Gate Count… · pp. 9–10
- The estimated global damping factor is approximately 0.762, compatible with the measured global fidelity.The estimate multiplies contributions from two-qubit gates, one-qubit gates, memory over six depth-1 circuit times, and SPAM on 20 data plus four reused qubits.Source: E. Circuit Construction, Gate Count… · p. 10
V. EXTENDED DATA FIGURES
Figure 4 examines correlations among toric-code plaquettes as evidence about gate noise bias toward Z-errors.
- A single Z-flip during the (I + X^⊗4)/2 projection flips two adjacent Z-plaquettes while leaving X-plaquettes invariant.Source: Figure 4 · p. 11
- Panel (a) shows X-plaquette covariances on the left and Z-plaquette covariances on the right, marking neighboring and non-neighboring plaquettes differently.Source: Figure 4 · p. 11
- Panel (b) compares average Z-plaquette correlations for adjacent and distant plaquette pairs.Source: Figure 4 · p. 11
B. Topological Entanglement Entropy
The extended-data figures show entanglement-entropy corrections across regions, parity-check circuits and layout, and an alternative anyon-transmutation measurement protocol.
B. Topological Entanglement Entropy
- Figure 5 plots entanglement-entropy correction γ for labeled 2 × 2 and 2 × 3 regions on the 4 × 4 torus.The 2 × 2 values average over rotations; maximum error bars are ±0.35 for 2 × 2 regions and ±0.54 for 2 × 3 regions.Source: Figure 5 · p. 11
C. Parity check circuits and stabilizer measurement layout
- Figure 6 contrasts ancilla and modified ancilla-free X^⊗4 parity-check circuits and marks the measured plaquettes on a 4 × 4 torus.Twelve colored plaquettes are stabilized after projection; the four empty plaquettes require feed-forward correction.Source: Figure 6 · p. 12
D. Non-demolition anyon tracing
- Figure 7 depicts magnetic-to-electric anyon transmutation using non-demolition measurements, contrasting destructive measurements after each step with a single-shot trajectory that costs extra gates.Source: Figure 7 · p. 12
E. Energy densities with SPAM error mitigation and for strictly ancilla-based measurement circuits
Figure 8 compares variations of the state-preparation strategy, including heralded-shot discarding, SPAM mitigation, decoder choice, and measurement layout.
- Panels (a–d) examine discarding heralded shots and applying state preparation and measurement error mitigation.Source: Figure 8 · p. 13
- Panel (e) shows energy density for the optimized decoder, while panel (f) uses ancilla qubits for every stabilizer measurement.Source: Figure 8 · p. 13
- Panel (g) leaves one plaquette unprojected and infers it from the constraint that the number of anyons is even.Source: Figure 8 · p. 13