Center for Technology and Learning Media (CTLM)

Kyle Leach Colorado School of Mines, Department of Physics Abstract: Nuclear beta and electron capture (EC) decay serve as sensitive probes of the structure and symmetries at the microscopic scale of our Universe. As such, precision measurements of the final-state products in these processes can be used as powerful laboratories to search for new physics […]

Name and topic to be announced Pre-seminar snacks will be served in CoorsTek 150 from 3:30-4:00pm; lecture will take place in CTLM102.

Rahul Nandkishore University of Colorado @ Boulder Abstract: When can isolated many body quantum systems fail to go to equilibrium under their own dynamics, and how robust can this `ergodicity breaking’ be? This question has been a central theme of research in quantum dynamics over the past decade, and I will share with you some […]

Tianyu Wang Boston University Abstract: I will overview our work on analog neural networks based on photonics and other controllable physical systems. In particular, I will discuss why neural networks may serve as an ideal computational model that will enable us to harness the computational power of analog stochastic physical systems in a robust and […]

Paul Denholm NREL Abstract: The existing power grid relies heavily on physical inertia provided by thermal and hydropower generators to maintain a nearly constant frequency. But the inverters used by wind and solar do not inherently provide physical inertia, and there is concern that replacing conventional generators with renewable resources could compromise grid stability. In […]

Eliot Kapit Colorado School of Mines, Department of Physics Abstract: A huge range of important problems in computer science--including task optimization, formal logic, encryption, and machine learning--can be solved by finding the sequence of binary variables that optimizes a cost function defined by a series of few-variable constraint relationships. Many of these problems are in […]

Austin Cummings Penn State, Department of Physics Abstract: Cosmic rays and neutrinos provide a unique window into observations of the most violent physical phenomena in the universe. At the highest energies, the flux of these particles at Earth is incredibly low, making direct detection challenging. For neutrinos, the problem is further compounded by their miniscule […]

Eliot Kapit Colorado School of Mines, Physics Department Abstract: A huge range of important problems in computer science--including task optimization, formal logic, encryption, and machine learning--can be solved by finding the sequence of binary variables that optimizes a cost function defined by a series of few-variable constraint relationships. Many of these problems are in the […]

Manuel A. Castellanos-Beltran NIST Abstract: Over the last two decades there has been tremendous interest in the advance of large-scale quantum computers. In particular, superconducting quantum processors has become the leading candidate for scalable quantum computing plat-form. Some of the initial research that paved the way for this field to take off was done at […]