Past Events
Voltage-controlled magnetism mediated by the electrical triggering of a metal-insulator transition
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Resistive switching and spintronics emerged among the leading approaches for the development of scalable and energy-efficient memories and information processing devices. In resistive switching systems, an electrical stimulus, voltage or current, programs the material’s resistivity. In spintronics, electrical signals are used to manipulate and probe the material’s magnetic configuration.
Stellar Emissions and Their Control Over Exoplanetary Atmospheres
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Abstract: Stellar emissions are central to shaping the environments of exoplanets.
Quantum Computing for the Prediction of Molecular Electronic Structure - insights into using quantum computers for electronic structure problems
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The scale of electronic structure calculations feasible on current or near-term quantum hardware is constrained by several inherent limitations, including coherence time, qubit count and connectivity, and device noise. All these limitations taken together severely impact the number of qubits that may be put to work constructively for chemical applications. While we have routine access to quantum computing devices exceeding 100 qubits, only a handful of these can be utilized effectively.
The Physics of Vision and Perception
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Abstract: Ever wondered how we perceive the world around us? How do our eyes detect light and how does our brain interpret what our eyes see? In this discussion, we will investigate how human vision and perception works, as well as how it can be manipulated through visual illusions. We will also explore how human vision differs from the vision of other animals such as dogs, birds, and insects.
Ergodic theory of quantum information dynamics
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Abstract: In this talk, we will describe a theoretical framework for understanding how the energy levels of a quantum system drive the flow of q
Improving the Performance of Superconducting Qubits
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Abstract: Superconducting quantum computers, once scaled up, could solve problems intractable to even the largest classical supercomputers, but better superconducting qubits are needed before this can occur. Superconducting qubit coherence is currently limited both by cryogenic low-power dielectric loss and by large temporal fluctuations due to strongly-coupled defects.
From quantum many-body physics to quantum computation with Rydberg atom arrays
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Reception with cake in the h-bar (3rd floor, X-wing) following the talk.
The Role of First Principles Methods in a Data-Driven World
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Abstract: Two Nobel prizes were just awarded on machine learning topics, reflecting the broad enthusiasm for data-driven methodologies in the physical sciences. The public facing view on machine learning—and also what is taught in the classroom—emphasizes the powerful algorithms that enable learning through deep neural networks and related models. In contrast, I will present my view on the less visible counterpart to the algorithm: the data, upon which all machine learning models stand or fall.