Physics Colloquium- “Superconductive Electronics As A Path For Scalability Of Quantum Computing”

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 NIST several decades ago. In this talk I will give a summary of how my research in superconductive electronics group at NIST is helping solve some of the issues of scalability that plague this technology. I will also talk about my academic trajectory: my winding path from being an undergrad in Monterrey, Mexico, to a permanent staff scientist at NIST as well as discuss some of the challenges I’ve had in my scientific career.

Biography: Dr. Manuel Castellanos Beltran attended college in Mexico at the Monterrey Institute of Technology and Higher Education (Monterrey, NL.) where he received his BE in Engineering physics in 2003. He then attended the University of Colorado-Boulder where he earned his PhD in physics in 2010 working on developing Josephson parametric amplifiers for Quantum Information applications and quantum limited measurements under the guidance of Dr. Konrad Lehnert. Afterwards, he worked at Yale University as a Post-Doctoral Fellow (2010-2012) under Dr. Jack Harris where he studied persistent currents in normal metal mesoscopic rings using torque magnetometry techniques. Dr. Castellanos-Beltran then joined NIST as a PREP Post-Doctoral Fellow (2012-13) and NRC Post-Doctoral Fellow (2013-2015) working with Dr. Jose Aumentado studying low noise amplification with Josephson parametric amplifier for Qubit Readout. He is currently a researcher for the Superconductive Electronics Group working in the development of a high frequency arbitrary waveform synthesizer using cryogenic superconductive electronics for microwave metrology and quantum computing applications.

Lecture in CTLM102