Kavli Affiliate: John E. Bowers | First 5 Authors: Volodymyr Sivak, Volodymyr Sivak, , , | Summary: The promise of fault-tolerant quantum computing is challenged by environmental drift that relentlessly degrades the quality of quantum operations. The contemporary solution, halting the entire quantum computation for recalibration, is unsustainable for the long runtimes of the future […]
Kavli Affiliate: David Gross | First 5 Authors: Filippo Girardi, Filippo Girardi, , , | Summary: Gaussian states are widely regarded as one of the most relevant classes of continuous-variable (CV) quantum states, as they naturally arise in physical systems and play a key role in quantum technologies. This motivates a fundamental question: given copies […]
Kavli Affiliate: Leon Balents | First 5 Authors: Feng Chen, Feng Chen, , , | Summary: Moir’e materials provide exciting platforms for studying the interplay of strong electronic correlation and large magnetic flux effects. We study the lightly doped Hofstadter-Hubbard model on a triangular lattice through large-scale density matrix renormalization group and determinantal quantum Monte […]
Kavli Affiliate: John E. Bowers | First 5 Authors: Stephan Amann, Stephan Amann, , , | Summary: Optical frequency combs have revolutionised time and frequency metrology [1, 2]. The advent of microresonator-based frequency combs (‘microcombs’ [3-5]) is set to lead to the miniaturisation of devices that are ideally suited to a wide range of applications, […]
Kavli Affiliate: John E. Bowers | First 5 Authors: Paolo Pintus, Paolo Pintus, , , | Summary: Magnetic field sensors with high sensitivity and spatial resolution have profoundly impacted diverse applications ranging from geo-positioning and navigation to medical imaging, materials science, and space exploration. However, the use of high-precision magnetometers is often limited due to […]
Kavli Affiliate: Leon Balents | First 5 Authors: Tarun Advaith Kumar, Tarun Advaith Kumar, , , | Summary: A variety of generative neural networks recently adopted from machine learning have provided promising strategies for studying quantum matter. In particular, the success of autoregressive models in natural language processing has motivated their use as variational ans"atze, […]
Kavli Affiliate: Lars Bildsten | First 5 Authors: Tin Long Sunny Wong, Tin Long Sunny Wong, , , | Summary: Following a type Ia supernova (SN Ia) in a double white dwarf (WD) binary, a surviving WD companion leaves at its orbital velocity $approx 1$,000 – 3,000 km/s. The Gaia mission has discovered seven such […]
Kavli Affiliate: Lars Bildsten | First 5 Authors: Jared A. Goldberg, Jared A. Goldberg, , , | Summary: We present the first 3D Radiation-Hydrodynamics simulations of partially-stripped ($M_mathrmcoresim10M_odot$, $M_mathrmenvsim0.1-1M_odot$) Yellow Supergiant ($Lsim10^5$, $T_mathrmeffapprox5000-8000$K) envelopes, constructed with Athena++. These envelope models represent the progenitors of Type IIb supernovae (SNe-IIb), which have lost a substantial fraction of […]
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 […]
Kavli Affiliate: Lars Bildsten | First 5 Authors: Gabriel Kumar, Gabriel Kumar, , , | Summary: Supernovae in binary star systems involve a hydrodynamical interaction between the ejecta and a binary companion. This collision results in shock heating and a modified density structure for the ejecta, both of which affect the light curve. As highlighted […]