Emergent gauge flux in mixed QED$_3$ with flavor chemical potential: application to magnetized U(1) Dirac spin liquids

Posted by klaurent UCSB

Kavli Affiliate: Leon Balents | Summary:We design a lattice model of a "mixed" U(1) gauge field coupled to fermions with a flavor chemical potential and solve it with large-scale determinant quantum Monte Carlo simulations, For zero flavor chemical potential, the model realizes three-dimensional quantum electrodynamics (QED$_3$) which has been argued to describe the ground state […]


Continue.. Emergent gauge flux in mixed QED$_3$ with flavor chemical potential: application to magnetized U(1) Dirac spin liquids

Emergent gauge flux in QED$_3$ with flavor chemical potential: application to magnetized U(1) Dirac spin liquids

Posted by klaurent UCSB

Kavli Affiliate: Leon Balents | Summary:We design a lattice model of a non-compact U(1) gauge field coupled to fermions with a flavor chemical potential and solve it with large-scale determinant quantum Monte Carlo simulations. For zero flavor chemical potential, the model realizes three-dimensional quantum electrodynamics (QED3) which has been argued to describe the ground state […]


Continue.. Emergent gauge flux in QED$_3$ with flavor chemical potential: application to magnetized U(1) Dirac spin liquids

Emergent gauge flux in QED$_3$ with flavor chemical potential: application to magnetized U(1) Dirac spin liquids

Posted by klaurent UCSB

Kavli Affiliate: Leon Balents| First 5 Authors: Chuang Chen, Chuang Chen, , , | Summary:We design a lattice model of non-compact U(1) gauge field coupled to fermions with a flavor chemical potential and solve it with large-scale determinant quantum Monte Carlo simulations. For zero flavor chemical potential, the model realizes three-dimensional quantum electrodynamics (QED$_3$) which […]


Continue.. Emergent gauge flux in QED$_3$ with flavor chemical potential: application to magnetized U(1) Dirac spin liquids

Deriving the von Neumann equation from the Majorana-Bloch equation for arbitrary spin in any state

Posted by klaurent Caltech

Kavli Affiliate: Lihong V. Wang| First 5 Authors: Lihong V. Wang, Lihong V. Wang, , , | Summary:After publishing the derivation from the classical Bloch equation to the quantum von Neumann equation to the Schrdinger-Pauli equation for spin-$tfrac12$, we proposed renaming the Bloch equation to the Majorana-Bloch equation because Majorana’s work predated Bloch’s in the […]


Continue.. Deriving the von Neumann equation from the Majorana-Bloch equation for arbitrary spin in any state

Spin-orbit-enabled realization of arbitrary two-qubit gates on moving spins

Posted by klaurent Delft

Kavli Affiliate: Lieven Vandersypen | Summary:Shuttling spin qubits in systems with large spin-orbit interaction (SOI) can cause errors during motion. However, in this work, we demonstrate that SOI can be harnessed to implement an arbitrary high-fidelity two-qubit (2Q) gate. We consider two spin qubits defined in a semiconductor double quantum dot that are smoothly moved […]


Continue.. Spin-orbit-enabled realization of arbitrary two-qubit gates on moving spins

ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Posted by klaurent UCAS

Kavli Affiliate: Zheng Zhu | First 5 Authors: Chaojun Ni, Chaojun Ni, , , | Summary: Reinforcement learning for training end-to-end autonomous driving models in closed-loop simulations is gaining growing attention. However, most simulation environments differ significantly from real-world conditions, creating a substantial simulation-to-reality (sim2real) gap. To bridge this gap, some approaches utilize scene reconstruction […]


Continue.. ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Posted by klaurent UCAS

Kavli Affiliate: Zheng Zhu | First 5 Authors: Chaojun Ni, Chaojun Ni, , , | Summary: Reinforcement learning for training end-to-end autonomous driving models in closed-loop simulations is gaining growing attention. However, most simulation environments differ significantly from real-world conditions, creating a substantial simulation-to-reality (sim2real) gap. To bridge this gap, some approaches utilize scene reconstruction […]


Continue.. ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction

Sensitivity of an Early Dark Matter Search using the Electromagnetic Calorimeter as a Target for the Light Dark Matter eXperiment

Posted by klaurent Chicago

Kavli Affiliate: Gordan Krnjaic| First 5 Authors: LDMX Collaboration, LDMX Collaboration, , , | Summary:The Light Dark Matter eXperiment (LDMX) is proposed to employ a thin tungsten target and a multi-GeV electron beam to carry out a missing momentum search for the production of dark matter candidate particles. We study the sensitivity for a complementary […]


Continue.. Sensitivity of an Early Dark Matter Search using the Electromagnetic Calorimeter as a Target for the Light Dark Matter eXperiment

WideSearch: Benchmarking Agentic Broad Info-Seeking

Posted by klaurent Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Ryan Wong, Ryan Wong, , , | Summary: From professional research to everyday planning, many tasks are bottlenecked by wide-scale information seeking, which is more repetitive than cognitively complex. With the rapid development of Large Language Models (LLMs), automated search agents powered by LLMs offer a promising […]


Continue.. WideSearch: Benchmarking Agentic Broad Info-Seeking

WideSearch: Benchmarking Agentic Broad Info-Seeking

Posted by klaurent Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Ryan Wong, Ryan Wong, , , | Summary: From professional research to everyday planning, many tasks are bottlenecked by wide-scale information seeking, which is more repetitive than cognitively complex. With the rapid development of Large Language Models (LLMs), automated search agents powered by LLMs offer a promising […]


Continue.. WideSearch: Benchmarking Agentic Broad Info-Seeking