Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-27T03:37:28.522750Z
Paper Citation Record · LEDGER
As of 4 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2606.15985.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-27T03:37:28.522750Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
85 of 85 outbound references displayed
External citation measurements
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Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer Unresolved cited work
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Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer To assess this quantity, we compute the mean-squared relative displacementD(t) between pairs of Lagrangian particles, initialized with small differences in their initial conditions
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Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer (5) forQ(a ∗|a(n))
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Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer Since the spectral gap governs the asymptotic convergence rate of a Markov chain in the classical sense (see Sec
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Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer The accelera- tion statistics will be inferred from the velocity fluctua- tion statistics as discussed in subsection III.A
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Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer Table I summarizes the run- times of the SDE, classical MCMC, and QE-MCMC al- gorithms for both caes, HSF and TCF flow
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Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer Unresolved cited work
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Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer Metropolis, A
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Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer Zuccarello, G
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Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer Nielsen and I
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Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer Ingelmann, F
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Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer Toschi and E
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Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer Unresolved cited work
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Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer Gaitan, Finding flows in a Navier-Stokes fluid through quantum computing, npj Quantum Inf.6, 61 (2021)
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Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer Unresolved cited work
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Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer Schumacher and B
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Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer Gualtieri, C
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Quantum-enhanced Markov chain Monte Carlo sampling to model Lagrangian tracer dispersion in turbulent boundary layer Birnir and L
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Observation 73970324-e302-47cc-bd38-9366090ea84d · outbound
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