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Quantum Electronics and Laser Science Conference

New approach to quantum decoherence

Nima Arkani-hamed A, John E. Sipe

Published May 2, 1993• 0 citations
OpenAlex

Related papers

Quantum decoherence and its mitigation

Springer eBooks•Jan 1, 2007•0 citations

Multiple System-Decomposition Method for Avoiding Quantum Decoherence

J. Jeknić-Dugić, M. Dugić

Decomposition of a composite system C into different subsystems, A + B or D + E, may help in avoiding decoherence. For example, the environment-induced decoherence for an A+B system need not destroy entanglement present in the D + E system (A + B = C = D + E). This new approach opens some questions also in the foundations of the quantum computation theory that might eventually lead to a new model of quantum computation.

Chinese Physics Letters•Feb 1, 2008•6 citations

Quantum Quantum Decoherence Calculation

Jincheng Zhang

Quantum Quantum Decoherence Calculation is a novel computational approach leveraging the unique properties of quantum coherence to precisely calculate complex quantum decoherence scenarios. Traditional quantum computing relies on classical algorithms, which are limited in their ability to accurately model and resolve the inherent decoherence processes that significantly impact quantum computation. This research proposes a new method employing quantum entanglement to construct a specialized calculation framework designed to capture and quantify decoherence effects, leading to substantially improved accuracy in simulating and predicting quantum systems. The core mechanism centers around strategically manipulating quantum states to generate and analyze decoherence patterns, ultimately providing a more reliable foundation for quantum algorithm design and optimization. The current method demonstrates superior performance in simulating complex decoherence dynamics compared to existing techniques, offering a significant advancement in the field of quantum computational fidelity. This work establishes a foundational basis for a new paradigm in quantum computation, emphasizing the crucial role of quantum coherence in achieving precise results.

•Sep 6, 2026•0 citations

Decoherence in Quantum Physics

Walter T. Strunz

Lecture notes in physics•Jan 1, 2002•13 citations

Self-Induced Selection: A New Approach to Quantum Decoherence

Mario Castagnino, Olímpia Lombardi

According to Zurek, decoherence is a process resulting from the interaction between a quantum system and its environment; this process singles out a preferred set of states, usually called pointer basis, that determines which observables will receive definite values. This means that decoherence leads to a sort of selection which precludes all except a small subset of the states in the Hilbert space of the system from behaving in a classical manner: environment-induced-superselection (einselection) is a consequence of the process of decoherence. The aim of this paper is to present a new approach to decoherence, different from the mainstream approach of Zurek and his collaborators. We will argue that this approach offers conceptual advantages over the traditional one when problems of foundations are considered; in particular, from the new perspective, decoherence in closed quantum systems becomes possible and the preferred basis acquires a well founded definition.

•Aug 1, 2002•0 citations

Decoherence in quantum systems

Piotr Marecki

Archiwum Informatyki Teoretycznej i Stosowanej•Jan 1, 2002•0 citations
Quantum Quantum Decoherence Calculation is a novel computational approach leveraging the unique properties of quantum coherence to precisely calculate complex quantum decoherence scenarios. Traditional quantum computing relies on classical algorithms, which are limited in their ability to accurately model and resolve the inherent decoherence processes that significantly impact quantum computation. This research proposes a new method employing quantum entanglement to construct a specialized calculation framework designed to capture and quantify decoherence effects, leading to substantially improved accuracy in simulating and predicting quantum systems. The core mechanism centers around strategically manipulating quantum states to generate and analyze decoherence patterns, ultimately providing a more reliable foundation for quantum algorithm design and optimization. The current method demonstrates superior performance in simulating complex decoherence dynamics compared to existing techniques, offering a significant advancement in the field of quantum computational fidelity. This work establishes a foundational basis for a new paradigm in quantum computation, emphasizing the crucial role of quantum coherence in achieving precise results.
According to Zurek, decoherence is a process resulting from the interaction between a quantum system and its environment; this process singles out a preferred set of states, usually called pointer basis, that determines which observables will receive definite values. This means that decoherence leads to a sort of selection which precludes all except a small subset of the states in the Hilbert space of the system from behaving in a classical manner: environment-induced-superselection (einselection) is a consequence of the process of decoherence. The aim of this paper is to present a new approach to decoherence, different from the mainstream approach of Zurek and his collaborators. We will argue that this approach offers conceptual advantages over the traditional one when problems of foundations are considered; in particular, from the new perspective, decoherence in closed quantum systems becomes possible and the preferred basis acquires a well founded definition.