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    <title>Stochastic on Tenu Tech Brief</title>
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    <description>Recent content in Stochastic on Tenu Tech Brief</description>
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      <title>Quantum simulation via stochastic combination of unitaries</title>
      <link>https://cluster-site.onrender.com/posts/quantum-simulation-via-stochastic-combination-of-unitaries/</link>
      <pubDate>Tue, 24 Feb 2026 00:36:11 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/quantum-simulation-via-stochastic-combination-of-unitaries/</guid>
      <description>• Abstract Quantum simulation algorithms often require numerous ancilla qubits and deep circuits, prohibitive for near-term hardware. • We introduce a framework for simulating quan</description>
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      <title>Preconditioned inexact stochastic ADMM for deep models</title>
      <link>https://cluster-site.onrender.com/posts/preconditioned-inexact-stochastic-admm-for-deep-models/</link>
      <pubDate>Tue, 24 Feb 2026 00:35:09 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/preconditioned-inexact-stochastic-admm-for-deep-models/</guid>
      <description>• Abstract Deep learning models are usually trained with stochastic gradient descent-based algorithms, but these optimizers face inherent limitations, such as slow convergence and</description>
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      <title>Quantum simulation via stochastic combination of unitaries</title>
      <link>https://cluster-site.onrender.com/posts/quantum-simulation-via-stochastic-combination-of-unitaries/</link>
      <pubDate>Sun, 22 Feb 2026 00:36:32 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/quantum-simulation-via-stochastic-combination-of-unitaries/</guid>
      <description>• Abstract Quantum simulation algorithms often require numerous ancilla qubits and deep circuits, prohibitive for near-term hardware. • We introduce a framework for simulating quan</description>
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      <title>Preconditioned inexact stochastic ADMM for deep models</title>
      <link>https://cluster-site.onrender.com/posts/preconditioned-inexact-stochastic-admm-for-deep-models/</link>
      <pubDate>Sun, 22 Feb 2026 00:35:21 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/preconditioned-inexact-stochastic-admm-for-deep-models/</guid>
      <description>• Abstract Deep learning models are usually trained with stochastic gradient descent-based algorithms, but these optimizers face inherent limitations, such as slow convergence and</description>
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      <title>RIS Control through the Lens of Stochastic Network Calculus: An O-RAN Framework for Delay-Sensitive 6G Applications</title>
      <link>https://cluster-site.onrender.com/posts/ris-control-through-the-lens-of-stochastic-network-calculus-an-o-ran-framework-for-delay-sensitive-6g-applications/</link>
      <pubDate>Fri, 20 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/ris-control-through-the-lens-of-stochastic-network-calculus-an-o-ran-framework-for-delay-sensitive-6g-applications/</guid>
      <description>• Computer Science &amp;gt; Networking and Internet Architecture [Submitted on 19 Feb 2026] Title:RIS Control through the Lens of Stochastic Network Calculus: An O-RAN Framework for Delay</description>
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