Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Physical Interpretation Beyond Particle-Centric Quantum Models. (IEEE)

Yoon A Limsuwan

Published Dec 27, 2025• 0 citations
Publisher
DOI
10.5281/zenodo.18069946

Related papers

Reinterpreting Shor Beyond Quantum Physics (IEEE)

Yoon A Limsuwan

•Jan 13, 2026•0 citations

Sub Quantum Semantic Collapse (SSC) : A Meaning Centric Computational Framework Surpassing Quantum Algorithmic Limits. (IEEE)

Yoon A Limsuwan

•Dec 8, 2025•0 citations

Conceptual vs Physical Sub-Quantum. (IEEE)

Yoon A Limsuwan

•Nov 25, 2025•0 citations

Individual-particle and ensemble interpretations of quantum mechanics

Springer eBooks•Jan 1, 2004•0 citations

A Singularity-Based Ontological Interpretation of the Double-Slit Experiment

ingle

This project proposes an alternative ontological interpretation of the double-slit experiment, arguing that photons exist in a singularity-like wave state prior to interaction. The transition to particle behavior occurs not through measurement, but due to physical conditions such as energy attenuation or medium traversal. This theory offers testable predictions via a modified double-slit setup, challenging the standard observer-centric interpretations of quantum mechanics.

•Jun 2, 2025•0 citations

Data-centric Approach of Macroscopic Physical System with NISQ Quantum Computers

Junyong Lee, Jeihee Cho, Hyeonseong Jung +4 more

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.

IEEE International Conference on Data Engineering Workshops (ICDEW)•May 1, 2025•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.