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

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

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

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

Oscillations and parity violation in gravitational wave background from extra tensor modes

Kavli Affiliate: Misao Sasaki | Summary:Spectator fields which provide additional tensor degrees of freedom, on top of the standard metric tensor perturbations, can produce significant amounts of gravitational waves (GWs). Employing the effective field theory approach for spin-2 fields, we identify a characteristic prediction of this class of scenarios: whenever the spin-2 sector undergoes a […]


Continue.. Oscillations and parity violation in gravitational wave background from extra tensor modes

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

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

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

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

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

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

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