Quantum Mechanics for Material Science

Jonathan Basile

Karen Barad’s Meeting the Universe Halfway relies on mutually incompatible grounding gestures, one of which describes the relationality of an always already material-discursive reality, while the other seeks to ground this relation one-sidedly in matter. These two materialisms derive from the gesture she borrows from the New Materialist (and other related) fields, which posits her work as an advance over the history of “representationalism” and “social constructivism.” In turn, this one-sided materialism produces a skewed reading of the quantum mechanical phenomena with which she engages. Her attempt to create an ontological (not epistemological) interpretation of quantum mechanics proves deconstructible. Instead, a science of undecidability or science of quant à helps us to understand debates among scientists and philosophers over the completeness or incompleteness of quantum mechanics and its epistemological or ontological status – by demonstrating that these questions will necessarily remain unresolved.

B. Keimer, Joel E. Moore

Eva Pavarini, Jeroen van den Brink, Erik Koch +1 more

Jincheng Zhang

Quantum-enhanced chaos theory offers a revolutionary approach to understanding and predicting material properties and behavior, leveraging the unique capabilities of quantum mechanics. This paper proposes a novel method to incorporate quantum effects – specifically, quantum tunneling and superposition – into chaotic systems to achieve unprecedented accuracy in material science. We outline a framework that utilizes quantum algorithms to model the dynamics of chaotic processes, aiming to provide a more detailed and nuanced understanding of material behavior than traditional approaches. The core claim is that this integration will significantly enhance the predictive power of chaos theory, particularly in the context of materials science. This work addresses the limitations of current models by offering a fundamentally new approach to modeling complex phenomena.

Jincheng Zhang

This paper explores the potential of quantum simulation for materials science computation. Traditional computational methods often struggle with the inherent quantum nature of materials, leading to inaccuracies in predicting their properties. Quantum simulation offers a promising alternative by directly simulating quantum systems using quantum computers. This work details the core concept, mechanism, and potential impact of leveraging quantum computers to accurately model and predict material behavior. The core claim is that utilizing quantum computers for materials quantum simulation will lead to more precise material property predictions and accelerate materials research. The fundamental mechanism involves constructing a quantum simulator, employing qubits to represent and simulate the quantum system of a material, enabling the calculation of material properties. This research highlights the novel application of quantum simulation in materials science, providing a pathway towards improved material prediction capabilities.

Matthew Strasberg