Skip to content

Efficient classical simulation of large-scale unitary cluster Jastrow circuits

Jul 2026 · arXiv.org · Vol abs/2607.21337 · 2 citations · ⚡ 1 influential · 10 references
Computer Science Physics

TL;DR

This work presents a polynomial time classical algorithm to compute the energy of any single-layer unitary cluster Jastrow circuit, independent of locality constraints for quantum hardware.

Abstract

Recent experiments on quantum computers have challenged the limits of classical computation in chemistry, simulating ground states of strongly correlated molecules. Many of these experiments have utilized the unitary cluster Jastrow ansatz, a quantum circuit inspired by the unitary coupled cluster ansatz that can be tailored to current quantum hardware. Notably, the largest experiment in Sci. Adv. 11, 25 (2025) executed a quantum circuit with 77 qubits and 10,570 gates on an IBM quantum computer and performed classical post-processing with up to 6400 nodes on Fugaku to compute ground state energies better than Hartree-Fock. In this work, we present a polynomial time classical algorithm to compute the energy of any single-layer unitary cluster Jastrow circuit, independent of locality constraints for quantum hardware. Our algorithm can reproduce the largest experiment from Sci. Adv. 11, 25 (2025) in less than a minute on a laptop, and through circuit optimization enabled by fast simulation we achieve a lower ground state energy than the experiment.

View source

Similar papers

Preprint Sep 2026

Scalable Simulation of Quantum Dynamics on Topological Quantum Hardware

This work establishes a framework for the representation of quantum dynamics in molecular and condensed matter systems, designed for execution on topological quantum hardware, by leveraging the non-Abelian braiding statistics of Fibonacci and Ising anyons and the Solovay-Kitaev algorithm to approximate unitary propagat...

Kritanjan Polley, M. Tuckerman · 0 citations
Preprint Sep 2026

Nonorthogonal variational quantum simulation for quantum chemistry

Nonorthogonal variational quantum simulation (NOVQS) is introduced, which applies linear combinations of parameterized quantum states to real- and imaginary-time evolutions and provides a flexible route to enhancing wavefunction expressivity under circuit-depth constraints.

Zong-Kang Zhang, Jia-Jun Ren, Xiao Yuan · 0 citations
Preprint Sep 2026

Oscillator-Qubit Primitives for a Molecular Quantum Dynamics Simulator

Molecular quantum dynamics simulations that treat both electrons and nuclei quantum mechanically are crucial for predicting chemical reactions. With classical computation, a full wave-function representation of both types of particles requires resources that grow exponentially with their number. Oscillator-qubit proces...

Jungsoo Hong, Joonsuk Huh · 0 citations
Open access Sep 2026

Real-Time Simulation of Low-Energy Quantum Scattering with Quantum Circuits

A product-formula quantum algorithm is presented that models single-channel helium–helium scattering by real-time evolution of a Gaussian wavepacket, requiring no precomputation of eigenstates and provides a ground-truth operator for benchmarking approximate quantum simulation.

Joshua M. Courtney, P. Stancil · 0 citations
Preprint Sep 2026

Quantum--classical break-even in electronic dynamics of macrocyclic molecules

Here we demonstrate quantum--classical break-even for chemical dynamics applications, reaching useful accuracy with a quantum-hardware wall-clock time comparable to that estimated for practical classical computing resources. Specifically, we construct a quantum workflow for electronic dynamics based on tensor-network c...

Shutaroh Kanno, Kenji Sugisaki, T. Imamichi et al. · 0 citations
Preprint Aug 2026

Hybrid HPC-Quantum Simulations: DFT-Quantum Embedding for Molecular Systems

This work presents a hybrid DFT-Quantum Embedding (QDFT) framework integrating classical HPC-based DFT with a quantum electronic-structure solver, demonstrating quantum embedding's potential to improve selected electronic-structure properties while retaining classical HPC's scalability.

N. Manglani, S. Maity, Shashank Sharma et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.