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Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet

Simulating Quantum Computation on a Macroscopic Model

Bart D’Hooghe, No Value Adenier

Published Jan 1, 2007• 0 citations
OpenAlex

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Plasma simulations for magnetic-confinement fusion (MCF) involve high-dimensional kinetic dynamics, strong nonlinear coupling, complex geometries, and multiscale spatiotemporal behavior, imposing severe computational bottlenecks. While quantum computing offers a potential alternative for accelerating plasma simulation problems, its practical advantage for fusion research has not yet been demonstrated. We review existing quantum computing studies across kinetic dynamics, wave interactions, equilibrium, and macroscopic stability, evaluating their hardware implementations and operational bottlenecks. Current studies remain largely restricted to linearized equations, reduced models, or isolated computational subroutines, leaving a substantial gap from realistic fusion simulations. We summarize key problem characteristics, including high dimensionality, structured dynamics, and measurement requirements, under which plasma applications are most likely to yield a quantum advantage. Guided by these considerations, we highlight potential approaches and present a roadmap toward practical quantum advantage of simulating plasma in MCF.

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Simulation of Quantum Computation

Tzvetan S. Metodi, Frederic T. Chong

Synthesis lectures on computer architecture•Jan 1, 2006•0 citations
In this paper, we investigate how quantum computers can be effectively utilized as physical computational units, specifically within the limitations of Noisy Intermediate-Scale Quantum (NISQ) devices. A central question we address is: How can we effectively emulate macroscopic quantum dynamics within the constraints of NISQ devices to fully realize the computational advantages of quantum computing? To tackle this, we explore the design of a macroscopic physical model, using a particle beam model as a case study. By employing a data-centric approach to energy encoding, we aim to optimize quantum states and extract the Hamiltonian, facilitating the accurate simulation of complex physical systems. Our work demonstrates the potential of NISQ devices in advancing macroscopic physical simulations, despite their inherent noise and limited qubit numbers, offering a promising path toward achieving Quantum advantage.
This paper proposes a new quantum cellular automaton (quantum CA) for simulating macroscopic electromagnetic fields. The final target is to simulate the macroscopic electromagnetic fields on a quantum computer. In the proposal approach, Maxwell's historical model, which was explained the nature of electromagnetic fields in 1861, has been modified for a quantum CA model to simulate the electromagnetic fields. Then, a state transition rule for CA is determined by a strategy based on the quantum mechanics and the quantum computation theories. One of originalities of the proposed approach is that a system using quantum gates is superstructed to simulate magneto-static fields from currents. First, a modified Maxwell model for applying to quantum CA was shown. Second, by using the quantum computation theory, a quantum gate system to simulate the magnetic fields from currents was described. Finally, the proposed approach was applied to an example of magnetostatic field simulation.
Plasma simulations for magnetic-confinement fusion (MCF) involve high-dimensional kinetic dynamics, strong nonlinear coupling, complex geometries, and multiscale spatiotemporal behavior, imposing severe computational bottlenecks. While quantum computing offers a potential alternative for accelerating plasma simulation problems, its practical advantage for fusion research has not yet been demonstrated. We review existing quantum computing studies across kinetic dynamics, wave interactions, equilibrium, and macroscopic stability, evaluating their hardware implementations and operational bottlenecks. Current studies remain largely restricted to linearized equations, reduced models, or isolated computational subroutines, leaving a substantial gap from realistic fusion simulations. We summarize key problem characteristics, including high dimensionality, structured dynamics, and measurement requirements, under which plasma applications are most likely to yield a quantum advantage. Guided by these considerations, we highlight potential approaches and present a roadmap toward practical quantum advantage of simulating plasma in MCF.