Optimal Zeno Dragging for Quantum Control: A Shortcut to Zeno with Action-based Scheduling Optimization

Kavli Affiliate: K. Birgitta Whaley | First 5 Authors: Philippe Lewalle, Yipei Zhang, K. Birgitta Whaley, , | Summary: The quantum Zeno effect asserts that quantum measurements inhibit simultaneous unitary dynamics when the "collapse" events are sufficiently strong and frequent. This applies in the limit of strong continuous measurement or dissipation. It is possible to […]


Continue.. Optimal Zeno Dragging for Quantum Control: A Shortcut to Zeno with Action-based Scheduling Optimization

Optimal Zeno Dragging for Quantum Control: A Shortcut to Zeno with Action-based Scheduling Optimization

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Philippe Lewalle, Yipei Zhang, K. Birgitta Whaley, , | Summary: The quantum Zeno effect asserts that quantum measurements inhibit simultaneous unitary dynamics when the "collapse" events are sufficiently strong and frequent. This applies in the limit of strong continuous measurement or dissipation. It is possible to implement […]


Continue.. Optimal Zeno Dragging for Quantum Control: A Shortcut to Zeno with Action-based Scheduling Optimization

Optimal Zeno Dragging for Quantum Control: A Shortcut to Zeno with Action-based Scheduling Optimization

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Philippe Lewalle, Yipei Zhang, K. Birgitta Whaley, , | Summary: The quantum Zeno effect asserts that quantum measurements inhibit simultaneous unitary dynamics when the "collapse" events are sufficiently strong and frequent. This applies in the limit of strong continuous measurement or dissipation. It is possible to implement […]


Continue.. Optimal Zeno Dragging for Quantum Control: A Shortcut to Zeno with Action-based Scheduling Optimization

Association cortical areas in the mouse contain a large population of fast-spiking GABAergic neurons that do not express parvalbumin

Kavli Affiliate: Menno Witter and Maximiliano Jose Nigro | Authors: Erik J Courcelles, Kasper Kjelsberg, Laura Convertino, Rajeevkumar Raveendran Nair, Menno P Witter and Maximiliano J Nigro | Summary: GABAergic neurons represent 10-15% of the neuronal population of the cortex but exert a powerful control over information flow in cortical circuits. The largest GABAergic class […]


Continue.. Association cortical areas in the mouse contain a large population of fast-spiking GABAergic neurons that do not express parvalbumin

Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Kavli Affiliate: Brian Nord | First 5 Authors: Andrea Roncoli, Aleksandra Ćiprijanović, Maggie Voetberg, Francisco Villaescusa-Navarro, Brian Nord | Summary: Deep learning models have been shown to outperform methods that rely on summary statistics, like the power spectrum, in extracting information from complex cosmological data sets. However, due to differences in the subgrid physics implementation […]


Continue.. Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Kavli Affiliate: Brian Nord | First 5 Authors: Andrea Roncoli, Aleksandra Ćiprijanović, Maggie Voetberg, Francisco Villaescusa-Navarro, Brian Nord | Summary: Deep learning models have been shown to outperform methods that rely on summary statistics, like the power spectrum, in extracting information from complex cosmological data sets. However, due to differences in the subgrid physics implementation […]


Continue.. Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Kavli Affiliate: Brian Nord | First 5 Authors: Andrea Roncoli, Aleksandra Ćiprijanović, Maggie Voetberg, Francisco Villaescusa-Navarro, Brian Nord | Summary: Deep learning models have been shown to outperform methods that rely on summary statistics, like the power spectrum, in extracting information from complex cosmological data sets. However, due to differences in the subgrid physics implementation […]


Continue.. Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets

Pathological claustrum activity drives aberrant cognitive network processing in human chronic pain

Kavli Affiliate: Martin Lindquist | Authors: Brent William Stewart, Michael L Keaser, Hwiyoung Lee, Sarah M Margerison, Matthew A Cormie, Massieh Moayedi, Martin Lindquist, Shuo Chen, Brian N. Mathur and David A Seminowicz | Summary: Aberrant cognitive network activity and cognitive deficits are established features of chronic pain. However, the nature of cognitive network alterations […]


Continue.. Pathological claustrum activity drives aberrant cognitive network processing in human chronic pain

Waveform Modelling for the Laser Interferometer Space Antenna

Kavli Affiliate: Pau Amaro Seoane | First 5 Authors: LISA Consortium Waveform Working Group, Niayesh Afshordi, Sarp Akçay, Pau Amaro Seoane, Andrea Antonelli | Summary: LISA, the Laser Interferometer Space Antenna, will usher in a new era in gravitational-wave astronomy. As the first anticipated space-based gravitational-wave detector, it will expand our view to the millihertz […]


Continue.. Waveform Modelling for the Laser Interferometer Space Antenna

Waveform Modelling for the Laser Interferometer Space Antenna

Kavli Affiliate: Pau Amaro Seoane | First 5 Authors: LISA Consortium Waveform Working Group, Niayesh Afshordi, Sarp Akçay, Pau Amaro Seoane, Andrea Antonelli | Summary: LISA, the Laser Interferometer Space Antenna, will usher in a new era in gravitational-wave astronomy. As the first anticipated space-based gravitational-wave detector, it will expand our view to the millihertz […]


Continue.. Waveform Modelling for the Laser Interferometer Space Antenna