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arXiv · 2605.11162

The Quantum Hamiltonian Analysis Toolkit: Lowering the Barrier to Quantum Computing with Hamiltonians

Brendan K. Krueger·Stephan Eidenbenz·Shamminuj Aktar·Rishabh Bhardwaj·John K. Golden·George Grattan·Abhijith Jayakumar·Anna Matsekh·Scott Pakin·Nandakishore Santhi·Reuben Tate
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Abstract

We present the Quantum Hamiltonian Analysis Toolkit (QHAT), a newly developed application that provides a user-friendly interface for studying Hamiltonians and performing Hamiltonian simulation on fault-tolerant quantum computers. QHAT enables the generation and analysis of Hamiltonians through a powerful and feature-rich application, driven by simple inputs designed to reflect user needs rather than algorithmic details, so that productive research on your application of interest can be done without needing a deep understanding of quantum computing algorithms. QHAT enables a streamlined workflow to analyze Hamiltonians and Hamiltonian simulation, supporting multiple choices of algorithms and analyses. It supports Hamiltonians from multiple sources but can also generate Hamiltonians based on a simple description of the system, saving intermediate data files for re-use when generating related Hamiltonians. Deriving the parameters for quantum computing algorithms can be a challenge, so QHAT is built around user-facing concepts such as maximum allowable error, rather than being built around algorithmic details such as steps counts or order parameters. An emphasis on user-friendly interfaces and efficient analysis means that the barrier to entry is low while rapidly providing results useful for a broad scope of studies.

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Brendan K. Krueger, Stephan Eidenbenz, Shamminuj Aktar, Rishabh Bhardwaj, John K. Golden, George Grattan, Abhijith Jayakumar, Anna Matsekh, Scott Pakin, Nandakishore Santhi, Reuben Tate. 2026-05-11. The Quantum Hamiltonian Analysis Toolkit: Lowering the Barrier to Quantum Computing with Hamiltonians. https://arxiv.org/abs/2605.11162

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