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521
Quantum Stochastic Cable Equation Acting on Functionals of Discrete-Time Normal Martingales
Published 2019-01-01“…In this paper, we consider a quantum stochastic cable equation in terms of operators from S(M) to S⁎(M). …”
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522
Realization of Versatile and Effective Quantum Metrology Using a Single Bosonic Mode
Published 2025-01-01“…PRX Quantum…”
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523
Accelerated computational implementation of reconciliation for continuous variable quantum key distribution on GPU
Published 2017-11-01Subjects: “…continuous variable quantum key distribution…”
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524
Optimal cooperative strategy based on quantum bat for cognitive radio of energy harvesting
Published 2018-09-01Subjects: Get full text
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525
Breaking barriers in two-party quantum cryptography via stochastic semidefinite programming
Published 2025-01-01“…Quantum…”
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526
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527
Photoluminescence Spectroscopy of CdTe/ZnTe Self-Assembled Quantum Dots
Published 2009-01-01“…Dominant low-energy band (E2) presents the direct deexcitation to ground state of the CdTe quantum dots.…”
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528
A numerical approach for calculating exact non-adiabatic terms in quantum dynamics
Published 2025-01-01“…Understanding how non-adiabatic terms affect quantum dynamics is fundamental to improving various protocols for quantum technologies. …”
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529
Des-q: a quantum algorithm to provably speedup retraining of decision trees
Published 2025-01-01“…Quantum…”
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530
RETRACTED: Synthesis of dynamic object control systems based on quantum calculation methods
Published 2024-01-01Get full text
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531
Self-adaptive physics-informed quantum machine learning for solving differential equations
Published 2025-01-01Subjects: “…quantum machine learning…”
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532
Some details of proofs of theorems related to the quantum dynamical Yang-Baxter equation
Published 2000-01-01Subjects: “…Quantum dynamical Yang-Baxter equation…”
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533
Luminescent Probe Based on Terbium-Carbon Quantum Dots for the Quantification of Imidacloprid in Caneberries
Published 2023-01-01“…Here, the modification consists of the introduction of nanoparticles (carbon quantum dots, CQDs) into the system. The carboxylic groups of CQDs react with terbium, providing an interesting time-resolved luminescence probe. …”
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534
Quantum Controlled Teleportation of Arbitrary Two-Qubit State via Entangled States
Published 2018-01-01“…In this paper, we use the combination of one two-qubit entangled state and one three-qubit entangled state as quantum channel for achieving the transmission of unknown quantum states. …”
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535
Fermions Tunneling and Quantum Corrections for Quintessential Kerr-Newman-AdS Black Hole
Published 2019-01-01“…In our analysis, we investigate Hawking temperature as well as quantum corrected Hawking temperature on account of generalized uncertainty principle. …”
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536
Quantum magnetometry of transient signals with a time resolution of 1.1 nanoseconds
Published 2025-01-01“…Abstract Quantum magnetometers based on spin defects in solids enable sensitive imaging of various magnetic phenomena, such as ferro- and antiferromagnetism, superconductivity, and current-induced fields. …”
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537
One-step Synthesis of Stable, Nontoxic, Orange Quantum Dots Fluorescent Powder
Published 2016-03-01“…Stable, nontoxic, and aqueous Cu:ZnInSe quantum dots (QDs) have been synthesized using one-step method. …”
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538
Quantum Tunnelling for Hawking Radiation from Both Static and Dynamic Black Holes
Published 2014-01-01“…In case of static black hole, tunnelling of nonzero mass particles is considered and due to complicated calculations, quantum corrections are calculated only up to the first order. …”
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539
Quantum-Based Feature Selection for Multiclassification Problem in Complex Systems with Edge Computing
Published 2020-01-01“…First, all features of each sample are encoded into a quantum state by performing operations CMP and Ry, and then the amplitude estimation is applied to calculate the similarity between any two quantum states (i.e., two samples). …”
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540
Superconducting quantum computing optimization based on multi-objective deep reinforcement learning
Published 2025-01-01“…Abstract Deep reinforcement learning is considered an effective technology in quantum optimization and can provide strategies for optimal control of complex quantum systems. …”
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