Infinite-dimensional Hamiltonian systems in quantum computing simulations

There is a powerful mathematical method for simulating quantum dynamics that goes beyond finite qubit representations called infinite-dimensional Hamiltonian systems. These systems make it possible to describe quantum fields, open quantum systems, and hybrid designs more accurately by simulating unbounded operators, spectral decompositions, and continuous-variable interactions. Quantum algorithms for partial differential equations, many-body physics, and error-tolerant models of infinite Hilbert spaces are all areas where they are useful. Adding Hamiltonians with infinite dimensions to computer systems makes it possible to use both classical approximation and quantum hardware. This method makes it easier to scale up, improves accuracy when dynamics aren’t simple, and sets the stage for more advanced robust quantum computing models in chemistry, information sciences, and physics.

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Publication Details

Journal
Journal of Interdisciplinary Mathematics
Published
2025-01-01
DOI
https://doi.org/10.47974/jim-2378
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
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Infinite-dimensional Hamiltonian systems in quantum computing simulations

Tanya Singh, Dharmesh Dhabliya, Suman Kumar Swarnkar, Dinesh Goyal et al.
Journal of Interdisciplinary Mathematics
Quantum Computing Algorithms and Architecture
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Infinite-dimensional Hamiltonian systems in quantum computing simulations

Tanya Singh, Dharmesh Dhabliya, Suman Kumar Swarnkar, Dinesh Goyal, Hemant Kumar Balasaheb Jadhav, Yatri Davda
article en

Abstract

There is a powerful mathematical method for simulating quantum dynamics that goes beyond finite qubit representations called infinite-dimensional Hamiltonian systems. These systems make it possible to describe quantum fields, open quantum systems, and hybrid designs more accurately by simulating unbounded operators, spectral decompositions, and continuous-variable interactions. Quantum algorithms for partial differential equations, many-body physics, and error-tolerant models of infinite Hilbert spaces are all areas where they are useful. Adding Hamiltonians with infinite dimensions to computer systems makes it possible to use both classical approximation and quantum hardware. This method makes it easier to scale up, improves accuracy when dynamics aren’t simple, and sets the stage for more advanced robust quantum computing models in chemistry, information sciences, and physics.

Journal of Interdisciplinary MathematicsVol. 28(6)
Openalex Percentile: Top 86%
Quantum Computing Algorithms and Architecture
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Infinite-dimensional Hamiltonian systems in quantum computing simulations — Tanya Singh, Dharmesh Dhabliya, et al. · Journal of Interdisciplinary Mathematics (2025) | TGRS Research Map | TGRS