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Research PaperResearchia:202605.20071

On Performance and Limitations of NISQ Hardware for Simulations of Quantum Wave Packet Dynamics

Tamila Kuanysheva

Abstract

Digital quantum simulation offers a promising route for studying quantum dynamics, but efficient operator representations and circuit depth remain key challenges for near-term hardware. We investigate one-dimensional wave packet dynamics using a grid-based encoding of the wave function onto qubit registers. Time evolution is implemented via split-operator approach, with kinetic energy operator applied using Quantum Fourier Transform (QFT) with polynomial scaling and potential energy operator exp...

Submitted: May 20, 2026Subjects: Quantum Physics; Quantum Computing

Description / Details

Digital quantum simulation offers a promising route for studying quantum dynamics, but efficient operator representations and circuit depth remain key challenges for near-term hardware. We investigate one-dimensional wave packet dynamics using a grid-based encoding of the wave function onto qubit registers. Time evolution is implemented via split-operator approach, with kinetic energy operator applied using Quantum Fourier Transform (QFT) with polynomial scaling and potential energy operator expressed through commuting Pauli-Z gates, improving accuracy and enabling incorporation of arbitrary discretized potentials. While the full Pauli decomposition of Hamiltonian scales exponentially as O(4^n ), the present approach reduces the operator scaling to O(2^n) for n qubits. We benchmark this approach on classical simulators and quantum hardware (IBM Quantum and IonQ) for two- to five-qubit implementations. For two- and three-qubit cases, all platforms qualitatively reproduce the benchmarked dynamics; at larger qubit counts, the IBM results deviate more strongly, whereas IonQ remains closer to the benchmark.


Source: arXiv:2605.20078v1 - http://arxiv.org/abs/2605.20078v1 PDF: https://arxiv.org/pdf/2605.20078v1 Original Link: http://arxiv.org/abs/2605.20078v1

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Date:
May 20, 2026
Topic:
Quantum Computing
Area:
Quantum Physics
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