aqora

Event-based simulation of quantum phenomena: application to quantum interference, Einstein-Podolsky-Rosen experiments, quantum computation and quantum cryptography

Shuang Zhao

Jan 1, 20090 citations

New Method to Simulate Quantum Interference Using Deterministic Processes and Application to Event-based Simulation of Quantum Computation

Hans A. De Raedt, Koen De Raedt, Kristel F. L. Michielsen

We demonstrate that networks of locally connected processing units with a primitive learning capability exhibit behavior that is usually only attributed to quantum systems. We describe networks that simulate single-photon beam-splitter and Mach-Zehnder interferometer experiments on a causal, event-by-event basis and demonstrate that the simulation results are in excellent agreement with quantum theory. We also show that this approach can be generalized to simulate universal quantum computers.

arXiv:quant-ph/0501139Journal of the Physical Society of JapanJan 1, 200532 citations

Deterministic Event-based Simulation of Universal Quantum Computation

Kristel F. L. Michielsen, Hans A. De Raedt, Koen De Raedt

Springer proceedings in physicsJan 1, 20071 citation

Event by event method for quantum interference simulation

M Delina

Event by event method is a simulation approach which is not based on the knowledge of the Schrodinger equation. This approach uses the classical wave theory and particle concept: we use particles, not waves. The data is obtained by counting the events that were detected by the detector, just as in real experiments. The particle is considered as a messenger (carries a message) that is processed by the deterministic learning machine. We demonstrated that the event-based deterministic learning machine simulation can produce the same interference patterns as those obtained in the experiment. The event-by-event method reproduces the results of quantum theory of the Mach-Zehnder interferometer, Mach-Zehnder interferometer with absorber, three beam interference, delayed choice and two-photon interference experiments.Event by event method is a simulation approach which is not based on the knowledge of the Schrodinger equation. This approach uses the classical wave theory and particle concept: we use particles, not waves. The data is obtained by counting the events that were detected by the detector, just as in real experiments. The particle is considered as a messenger (carries a message) that is processed by the deterministic learning machine. We demonstrated that the event-based deterministic learning machine simulation can produce the same interference patterns as those obtained in the experiment. The event-by-event method reproduces the results of quantum theory of the Mach-Zehnder interferometer, Mach-Zehnder interferometer with absorber, three beam interference, delayed choice and two-photon interference experiments.

Jan 1, 20140 citations

Physical Field Theory Simulation Algorithm

Jincheng Zhang

This paper introduces a novel quantum computing simulation algorithm based on the principles of physical field theory. Traditional computational methods often struggle with the inherent complexity of physical systems, necessitating specialized algorithms to achieve acceptable performance. We propose a framework that leverages the strengths of quantum computing – superposition, entanglement, and interference – to significantly accelerate the simulation of these systems. The core mechanism involves a carefully designed mapping of physical field equations to quantum circuits, utilizing quantum algorithms to achieve a higher fidelity and efficiency in the simulation process. We demonstrate the algorithm's effectiveness through a series of simulations focusing on [Specify a Specific System, e.g., the dynamics of a scalar field]. The results demonstrate a substantial improvement in simulation time and fidelity compared to existing classical methods and highlight the potential of this approach to unlock new possibilities in complex physical modeling.This paper introduces a novel quantum computing simulation algorithm based on the principles of physical field theory. Traditional computational methods often struggle with the inherent complexity of physical systems, necessitating specialized algorithms to achieve acceptable performance. We propose a framework that leverages the strengths of quantum computing – superposition, entanglement, and interference – to significantly accelerate the simulation of these systems. The core mechanism involves a carefully designed mapping of physical field equations to quantum circuits, utilizing quantum algorithms to achieve a higher fidelity and efficiency in the simulation process. We demonstrate the algorithm's effectiveness through a series of simulations focusing on [Specify a Specific System, e.g., the dynamics of a scalar field]. The results demonstrate a substantial improvement in simulation time and fidelity compared to existing classical methods and highlight the potential of this approach to unlock new possibilities in complex physical modeling.

Aug 31, 20260 citations

Stochastic Processes in Quantum Theory and Statistical Physics

Sergio A Albeverio, Ph. Combe, M. Sirugue-Collin

Lecture notes in physicsJan 1, 198235 citations

New Method to Simulate Quantum Interference Using Deterministic Processes and Application to Event-based Simulation of Quantum Computation (Statistical Physics of Quantum Systems--novel orders and dynamics)

Related papers

New Method to Simulate Quantum Interference Using Deterministic Processes and Application to Event-based Simulation of Quantum Computation (Statistical Physics of Quantum Systems--novel orders and dynamics)

Related papers