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arXiv:2610.41017

Preparation of a Laughlin-like fractional Chern insulator on a superconducting quantum processor

Kamil Dutkiewicz, Bárbara Andrade, Geza Giedke, Tobias Grass

quant-phcond-mat.mes-hallcond-mat.quant-gasSubmitted Oct 29, 2026• Announced Nov 2, 2026
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Abstract

Fractional Chern insulators (FCIs) are lattice analogues of fractional quantum Hall states, hosting topological order and fractionalized anyonic excitations. Their realization poses a demanding target for quantum simulation. Here, we realize a bosonic FCI on an IBM Nighthawk superconducting quantum processor using classically optimized variational circuits. We target a Laughlin-like state that is an exact zero-energy ground state of a long-range parent Hamiltonian on a torus, eliminating physical edges and providing a favorable geometry for accessing fractional quantum Hall physics in a small system. On a $4\times4$ qubit lattice, we prepare both the four-boson FCI ground state and a three-boson state hosting two quasiholes. Measurements of particle densities and correlations reproduce the characteristic structure of the target states, while reconstructed chiral magnetization currents resolve the circulating current pattern associated with the quasiholes. The preparation of these strongly correlated topological states with shallow circuits establishes a route toward the digital simulation and manipulation of fractionalized excitations, including measurements of topological invariants and anyonic braiding.

AI Summary

The paper addresses digital preparation and detection of bosonic Laughlin-like fractional Chern insulator states on a small superconducting processor. It targets the hard-core Kapit–Mueller model on a $4\times4$ torus at flux density $\phi=1/2$: a four-boson, $\nu=1/2$ ground state and a three-boson state with two pinned quasiholes. Exact diagonalization supplies the two-dimensional target manifolds. Particle-number-conserving circuits built from nearest-neighbor hopping, interactions and on-site rotations are optimized classically against manifold fidelity, without implementing the parent Hamiltonian’s long-range hopping. Both circuits reach $0.95$ noiseless manifold fidelity. The three- and four-boson preparations use respectively 168 and 264 CZ gates, with two-qubit depths 28 and 44, on 16 IBM Nighthawk qubits. After particle-number post-selection, retaining approximately one-third of shots, measured densities, conditional correlations and symmetry-grouped configuration probabilities reproduce the target distributions with attenuation. Distribution-fit slopes relative to a maximally mixed baseline are $0.813$ and $0.742$. For the quasihole state, two-qubit Pauli measurements reconstruct coherences and associated Kapit–Mueller bond currents, giving total loop circulation $-0.19\pm0.06$, versus $-0.319$ for the target state. The reported $0.95$ fidelities are simulation results, not experimental fidelity measurements. Noise-model-dependent estimates put post-selected error-free fractions at $60(2)\%$ and $46(5)\%$. Stated scaling limitations include reliance on classically accessible targets, increasing circuit depth for long-range entanglement, hardware noise and connectivity. Topological invariants, topological entanglement entropy and fractional braiding are proposed future measurements rather than demonstrated diagnostics.

Little sign of AI-generated textOverclaimsMissing comparison

Central claim may not hold: The experimental distributions and selected coherences support a Laughlin-like preparation but do not establish target-manifold fidelity or topological order, so the abstract's realization claim remains conditional on the preparation model. The Hamiltonian written for the four-boson target has a strictly negative ground energy, so the exact-zero-energy statement requires an omitted additive energy offset. The optimization account inconsistently describes first-order Trotterized gates and whole-step exponentiation, leaving the precise simulated circuit ambiguous.

Written by gpt-6.1-sol from the paper's full text. Automated: it can be wrong.

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13 pages, 7 figures

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Fractional Chern insulators (FCIs) are lattice analogues of fractional quantum Hall states, hosting topological order and fractionalized anyonic excitations. Their realization poses a demanding target for quantum simulation. Here, we realize a bosonic FCI on an IBM Nighthawk superconducting quantum processor using classically optimized variational circuits. We target a Laughlin-like state that is an exact zero-energy ground state of a long-range parent Hamiltonian on a torus, eliminating physical edges and providing a favorable geometry for accessing fractional quantum Hall physics in a small system. On a 4×44\times44×4 qubit lattice, we prepare both the four-boson FCI ground state and a three-boson state hosting two quasiholes. Measurements of particle densities and correlations reproduce the characteristic structure of the target states, while reconstructed chiral magnetization currents resolve the circulating current pattern associated with the quasiholes. The preparation of these strongly correlated topological states with shallow circuits establishes a route toward the digital simulation and manipulation of fractionalized excitations, including measurements of topological invariants and anyonic braiding.
The paper addresses digital preparation and detection of bosonic Laughlin-like fractional Chern insulator states on a small superconducting processor. It targets the hard-core Kapit–Mueller model on a 4×44\times44×4 torus at flux density ϕ=1/2\phi=1/2ϕ=1/2: a four-boson, ν=1/2\nu=1/2ν=1/2 ground state and a three-boson state with two pinned quasiholes.
Exact diagonalization supplies the two-dimensional target manifolds. Particle-number-conserving circuits built from nearest-neighbor hopping, interactions and on-site rotations are optimized classically against manifold fidelity, without implementing the parent Hamiltonian’s long-range hopping. Both circuits reach 0.950.950.95 noiseless manifold fidelity. The three- and four-boson preparations use respectively 168 and 264 CZ gates, with two-qubit depths 28 and 44, on 16 IBM Nighthawk qubits.
After particle-number post-selection, retaining approximately one-third of shots, measured densities, conditional correlations and symmetry-grouped configuration probabilities reproduce the target distributions with attenuation. Distribution-fit slopes relative to a maximally mixed baseline are 0.8130.8130.813 and 0.7420.7420.742. For the quasihole state, two-qubit Pauli measurements reconstruct coherences and associated Kapit–Mueller bond currents, giving total loop circulation −0.19±0.06-0.19\pm0.06−0.19±0.06, versus −0.319-0.319−0.319 for the target state.
The reported 0.950.950.95 fidelities are simulation results, not experimental fidelity measurements. Noise-model-dependent estimates put post-selected error-free fractions at 60(2)%60(2)\%60(2)% and 46(5)%46(5)\%46(5)%. Stated scaling limitations include reliance on classically accessible targets, increasing circuit depth for long-range entanglement, hardware noise and connectivity. Topological invariants, topological entanglement entropy and fractional braiding are proposed future measurements rather than demonstrated diagnostics.
We investigate the use of variational quantum algorithms to prepare and characterize fractional quantum Hall states on near-term quantum processors. Focusing on the ν=1/3ν=1/3ν=1/3 Laughlin phase described by the V1V_1V1​ Haldane pseudopotential, we formulate the lowest-Landau-level problem in second quantization, and implement particle-number-preserving variational circuits combined with the variational quantum eigensolver (VQE) and variational quantum deflation (VQD). We benchmark the approach in two complementary geometries: Haldane sphere and torus shape. On the Haldane sphere, the target state is a unique zero-energy Laughlin ground state, providing a controlled test of the variational workflow and of excited-state reconstruction. On the torus, the problem retains the genuinely two-dimensional periodic character of the quantum Hall liquid and exhibits the threefold topological ground-state degeneracy expected for the ν=1/3ν=1/3ν=1/3 fractional filling factor. This feature makes the torus a more demanding benchmark than the quasi-one-dimensional cylinder or thin-torus limits commonly exploited in state-preparation quantum protocols. We benchmark the hardware-optimized variational states against exact diagonalization using energy estimates, error-mitigated observables, and subspace-containment diagnostics. Our results show that hybrid quantum algorithms can approximately reconstruct the low-energy structure of small fractional quantum Hall systems, including the topological ground-state manifold on the torus. Beyond serving as a benchmark for quantum hardware, this geometry-resolved approach provides a route toward quantum simulations of fractional Chern insulators and strongly correlated topological phases in realistic two-dimensional materials.
Fractional Chern insulators (FCIs) are lattice analogs of fractional quantum Hall systems, where the interplay of strong interactions with a frustrated tunnelling kinetics leads to the emergence of a gapped ground state with long-range entanglement and anyonic excitations. The highly correlated nature of such systems makes their adiabatic preparation challenging already beyond the minimal system size of two particles. Considering Floquet implementations of the bosonic Harper-Hofstadter-Hubbard model of few photons in superconducting circuits, we design protocols for the driven-dissipative stabilization of its FCI ground state at half filling via quantum bath engineering. Dissipation control is achieved through the coupling to driven leaky cavity modes, which realize a tuneable artificial environment having the Floquet-FCI as its approximate fixed point. For systems of two, three and six particles, we show numerically how the flexibility of the control scheme further allows for the detection of fractional quantum Hall signatures in the stabilized steady states, including bulk incompressibility, Hall response and the trapping of fractional charges. Our results provide a concrete pathway to dissipation-assisted preparation of strongly correlated states in quantum simulators.
Strongly correlated topological phases of matter are central to modern condensed matter physics and quantum information technology but often challenging to probe and control in material systems. The experimental difficulty of accessing these phases has motivated the use of engineered quantum platforms for simulation and manipulation of exotic topological states. Among these, the Laughlin state stands as a cornerstone for topological matter, embodying fractionalization, anyonic excitations, and incompressibility. Although its bosonic analogs have been realized on programmable quantum simulators, a genuine fermionic Laughlin state has yet to be demonstrated on a quantum processor. Here, we realize the ν = 1/3 fermionic Laughlin state on IonQ's trapped-ion quantum computer using an efficient and scalable Hamiltonian variational ansatz with 369 two-qubit gates on a 16-qubit circuit. Employing symmetry-verification error mitigation, we extract key observables that characterize the Laughlin state, including correlation hole, bulk-edge correspondence, and topological entanglement entropy, with strong agreement to exact diagonalization benchmarks. This work demonstrates an end-to-end workflow to simulate material-intrinsic topological orders and provides a starting point to explore its dynamics and excitations on digital quantum processors.
Non-Abelian anyons arise as exotic excitations in fractional quantum Hall (FQH) matter and have proved very elusive to realize in conventional platforms. In this work, we show that on a programmable quantum hardware platform, the more exotic FQH excitations are the less costly ones to prepare: clustered non-Abelian FQH states admit parallel quantum preparation circuits whose two-qubit depth is independent of system size, while constructing the more common Abelian Laughlin state requires a sequential circuit chain with linear depth. The centerpiece of this work is our new systematic framework for cataloging possible FQH states and preparing them on quantum circuits at unprecedented scale and variety. Our prepared parafermionic Read--Rezayi Z3\mathbb{Z}_3Z3​ state holds depth 3 from 8 to 118 qubits, and full root sampling extends to a 154-qubit, 104-electron Read--Rezayi Z4\mathbb{Z}_4Z4​ state. In all, our demonstrated 18-family catalog of prepared FQH states extends to all 156 qubits of an IBM Heron processor, limited only by existing hardware scale. Measurements on the prepared states recover the expected fractional quasihole charges, with the charge estimator exact in every symmetry-selected shot for the clustered states, and braiding data of the non-Abelian e/4e/4e/4 quasihole measured via interferometric extensions. Our work establishes a scalable route to studying FQH physics on quantum processors and opens new avenues for preparing and probing non-Abelian topological matter far beyond the reach of conventional platforms.
The interplay between topology and strong interactions gives rise to a variety of exotic quantum phases, including fractional quantum Hall states and their lattice analogs—fractional Chern insulators (FCIs). Such topologically ordered states host fractionalized excitations and, for spinful systems, are often accompanied by ferromagnetism and skyrmions. Here, we study a Hofstadter-Hubbard model of spinful fermions on a square lattice, extended by nearest-neighbor interactions. Using large-scale density matrix renormalization group simulations, we demonstrate the emergence of a spin-polarized 1 / 3 -Laughlin-like FCI phase, characterized by a quantized many-body Chern number, a finite charge gap, and hidden off-diagonal long-range order. We further investigate the quantum Hall ferromagnet at ν = 1 and its skyrmionic excitations upon doping. In particular, we find that nearest-neighbor repulsion is sufficient to stabilize both particle- and hole-skyrmions in the ground state around ν = 1 , whereas we do not find such textures around ν = 1 / 3 . The diagnostic toolbox presented in this work, based on local densities, correlation functions, and spin-resolved observables, is directly applicable in quantum gas microscopy experiments. Our results open new pathways for experimental exploration of FCIs with spin textures in both ultracold atom and electronic systems.
The realization of fractional quantum Hall (FQH) states, characterized by fractional charge and intrinsic topological order, on quantum computers represents a central challenge at the interface of condensed matter physics and quantum information science. Current methods are grouped into two types: methods based on (quasi-)adiabatic evolution of complex parent Hamiltonians to yield target states, and circuit-based approaches for direct state preparation, which are confined to effectively one-dimensional systems near the thin cylinder or torus limit. We introduce a complementary scheme relying on direct quantum circuit construction, which works for arbitrary geometries. Specifically, we present a method to precisely prepare the ν=1/3ν=1/3ν=1/3 Laughlin state on the sphere geometry and demonstrate that it significantly reduces the required number of two-qubit gates and circuit depth, compared to variational quantum circuit approaches. In addition, we employ optimal control techniques to design control pulses for both superconducting and Rydberg atom platforms, identifying experimentally feasible protocols for state preparation. Our results provide an efficient and hardware-relevant pathway for realizing generic FQH states on both noisy intermediate-scale and fault-tolerant quantum devices.