Pith. sign in

REVIEW 8 cited by

Simulation of IBM's kicked Ising experiment with Projected Entangled Pair Operator

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2308.03082 v1 pith:SONSBRDG submitted 2023-08-06 quant-ph cond-mat.stat-mechcond-mat.str-el

Simulation of IBM's kicked Ising experiment with Projected Entangled Pair Operator

classification quant-ph cond-mat.stat-mechcond-mat.str-el
keywords quantumpeporesultsapproachcircuitcliffordoperatoraccuracy
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

We perform classical simulations of the 127-qubit kicked Ising model, which was recently emulated using a quantum circuit with error mitigation [Nature 618, 500 (2023)]. Our approach is based on the projected entangled pair operator (PEPO) in the Heisenberg picture. Its main feature is the ability to automatically identify the underlying low-rank and low-entanglement structures in the quantum circuit involving Clifford and near-Clifford gates. We assess our approach using the quantum circuit with 5+1 trotter steps which was previously considered beyond classical verification. We develop a Clifford expansion theory to compute exact expectation values and use them to evaluate algorithms. The results indicate that PEPO significantly outperforms existing methods, including the tensor network with belief propagation, the matrix product operator, and the Clifford perturbation theory, in both efficiency and accuracy. In particular, PEPO with bond dimension $\chi=2$ already gives similar accuracy to the CPT with $K=10$ and MPO with bond dimension $\chi=1024$. And PEPO with $\chi=184$ provides exact results in $3$ seconds using a single CPU. Furthermore, we apply our method to the circuit with 20 Trotter steps. We observe the monotonic and consistent convergence of the results with $\chi$, allowing us to estimate the outcome with $\chi\to\infty$ through extrapolations. We then compare the extrapolated results to those achieved in quantum hardware and with existing tensor network methods. Additionally, we discuss the potential usefulness of our approach in simulating quantum circuits, especially in scenarios involving near-Clifford circuits and quantum approximate optimization algorithms. Our approach is the first use of PEPO in solving the time evolution problem, and our results suggest it could be a powerful tool for exploring the dynamical properties of quantum many-body systems.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 8 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Algorithmic Locality via Provable Convergence in Quantum Tensor Networks

    quant-ph 2026-04 unverdicted novelty 8.0

    For PEPS with strong injectivity above a threshold, belief propagation finds fixed points efficiently and cluster-corrected BP approximates observables to 1/poly(N) error in poly(N) time, with local perturbations affe...

  2. Belief Propagation and Tensor Network Expansions for Many-Body Quantum Systems: Rigorous Results and Fundamental Limits

    quant-ph 2026-04 conditional novelty 8.0

    For PEPS states with loop-decay, BP with cluster corrections approximates local observables exponentially accurately, and loop-decay necessarily implies exponential decay of connected correlations, ruling out BP at cr...

  3. Efficient classical simulation of large-scale unitary cluster Jastrow circuits

    quant-ph 2026-07 conditional novelty 7.0

    A one-layer UCJ quantum chemistry circuit can have its energy computed classically in O(N^7) time, so single-layer UCJ circuits cannot provide quantum advantage for energy estimation.

  4. Use of Faulty States in Cat-Code Error Correction

    quant-ph 2024-12 unverdicted novelty 6.0

    Proposes multi-component bridge states outside cat code space for syndrome extraction in teleportation-based cat code QEC when nonlinear interactions are limiting.

  5. Pushing the Classical Frontier of 1D Fermi-Hubbard Quench Dynamics Beyond Current Quantum Simulations

    quant-ph 2026-06 unverdicted novelty 5.0

    Symmetric TDVP on GPUs achieves converged 1D Fermi-Hubbard quench dynamics at chi~62000 up to t=7, certifying the high-entanglement regime and lowering the reported quantum advantage to ~36x.

  6. Classical Combinatorial Optimization Scaling for Random Ising Models on 2D Heavy-Hex Graphs

    math.OC 2024-12 unverdicted novelty 3.0

    Classical solvers solve random Ising models on heavy-hex graphs efficiently, with Gurobi showing linear or weakly quadratic scaling up to 100k variables and simulated annealing showing exponential time-to-solution wit...

  7. Quantum-inspired tensor networks in machine learning models

    cs.LG 2026-04 unverdicted novelty 2.0

    Tensor networks developed for quantum states are reviewed as tools for machine learning models, with assessment of their potential computational, explanatory, and privacy advantages alongside remaining challenges.

  8. The Role of Quantum Computing in Advancing Scientific High-Performance Computing: A perspective from the ADAC Institute

    quant-ph 2025-08 unverdicted novelty 2.0

    A synthesis of expert insights from the ADAC Quantum Computing Working Group and member survey on the complementary roles of quantum and classical high-performance computing in future hybrid infrastructures.