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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.11162 |
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| _version_ | 1866917482019684352 |
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| author | Krueger, Brendan K. Eidenbenz, Stephan Aktar, Shamminuj Bhardwaj, Rishabh Golden, John K. Grattan, George Jayakumar, Abhijith Matsekh, Anna Pakin, Scott Santhi, Nandakishore Tate, Reuben |
| author_facet | Krueger, Brendan K. Eidenbenz, Stephan Aktar, Shamminuj Bhardwaj, Rishabh Golden, John K. Grattan, George Jayakumar, Abhijith Matsekh, Anna Pakin, Scott Santhi, Nandakishore Tate, Reuben |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_11162 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | The Quantum Hamiltonian Analysis Toolkit: Lowering the Barrier to Quantum Computing with Hamiltonians Krueger, Brendan K. Eidenbenz, Stephan Aktar, Shamminuj Bhardwaj, Rishabh Golden, John K. Grattan, George Jayakumar, Abhijith Matsekh, Anna Pakin, Scott Santhi, Nandakishore Tate, Reuben Quantum Physics Computational Physics 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. |
| title | The Quantum Hamiltonian Analysis Toolkit: Lowering the Barrier to Quantum Computing with Hamiltonians |
| topic | Quantum Physics Computational Physics |
| url | https://arxiv.org/abs/2605.11162 |