Quantum Event Learning and Gentle Random Measurements: Analyzing Quantum Systems with Blended and Random Measurements
Blended and random measurements provide insights into quantum systems with the Gentle Random Measurement Lemma.
Konflikt zwischen dem Unabhängigkeitspostulat, der Vielwelten-Theorie und der Konstruktionstheorie
Unvereinbarkeiten zwischen dem Unabhängigkeitspostulat, der Vielwelten-Theorie und der Konstruktionstheorie werden aufgezeigt.
Saturability of the Quantum Cramér-Rao Bound in Multiparameter Quantum Estimation at the Single-Copy Level
Neue notwendige Bedingungen für die Sättigung des QCRB in der Einzelkopie-Multiparameter-Schätzung werden etabliert.
High-Temperature Gibbs States: Separability and Efficiency
Thermal states of local Hamiltonians are separable above a certain temperature, challenging conventional entanglement beliefs.
Quantum Langevin Dynamics for Optimization Study
Utilizing Quantum Langevin Dynamics for optimization problems, proving convergence in convex landscapes.
Exact Model Reduction for Conditional Quantum Dynamics
Algebraic approach for exact model reduction in quantum dynamics.
Kochen-Specker Sets: Lower Bound Analysis
量子力学におけるコンテクスチュアリティとKochen-Speckerセットの下限解析に焦点を当てる。
Analyzing Concrete Quantum Channels and Algebraic Structures in Abstract Quantum Channels
Analyzing the algebraic structure of quantum channels and their subsets, focusing on idempotent channels and their applications in coding-encoding problems.
Ab-initio Variational Wave Functions for Time-Dependent Many-Electron Schrödinger Equation
This work introduces a variational approach for fermionic time-dependent wave functions, surpassing mean-field approximations by capturing many-body correlations.
Quantum Event Learning and Gentle Random Measurements: Analysis and Algorithms
The author presents a study on Quantum Event Learning Problems, introducing the Gentle Random Measurement Lemma to analyze the disturbance caused by random measurements. Algorithms for Quantum OR are developed based on blended measurements.
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