## Quantum Leap

In quantum computing, UW scientists see the building blocks of the next technological revolution.

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## Quantum Leap

## UW physicist pens math-free tour of quantum mechanics and technology

## NQN Seminar Series: Efficient Quantum Algorithm for Dissipative Nonlinear Differential Equations

## UW Physics Colloquium: Exploring New Scientific Frontiers with Programmable Quantum Systems

## NQN Seminar Series: Hartree-Fock and Quantum Technology

## Quantum Information Science at Fermilab

## Quantum Computing in High-Energy Physics and Related Fields

## NQN Seminar Series: Can Quantum Computers Speed up Gradient Descent?

## UW Physics Colloquium: Quantum Interfaces Based on Ion Traps

In quantum computing, UW scientists see the building blocks of the next technological revolution.

UW physics professor Miguel Morales has authored a seven-part series for Ars Technica on quantum mechanics for a general audience. One article in the series is rolling out each week from Jan. 10 to Feb. 21. Morales sat down with UW News to talk about the series, quantum mechanics and what he hopes the public can learn about this seemingly odd and possibly intimidating realm of science.

March 24, 2021: At this virtual NQN seminar, University of Maryland professor of computer science Andrew Childs will discuss a quantum algorithm developed for nonlinear differential equations.

February 22, 2021: In this UW Physics Colloquium, Harvard University physics professor Misha Lukin will discuss recent developments at a new scientific interface between quantum optics, quantum many-body physics, information science and engineering.

January 20, 2021: At this NQN online seminar, Dartmouth College professor of physics James D. Whitfield will discuss efforts to apply quantum computing to the Hartree-Fock method.

December 10, 2020: Gabriel Perdue will present on quantum decoherence and fundamental, high-energy physics experiments using quantum technology.

December 3, 2020: Dr. Koji Terashi will present early explorations of quantum computing in the field of High-Energy Physics and related scientific disciplines.

November 25, 2020: Gradient descent is a popular algorithm in machine learning and optimization and finds many applications in theory and in practice. Microsoft Quantum Senior Researcher Robin Kothari asks, “Can quantum computers speed up this algorithm?” During this Northwest Quantum Nexus seminar, Kothari will discuss the meaning of the question, formalize the question in the context of prior work in this setting, and answer the question posed in this context.

November 23, 2020: In this UW Physics Colloquium, Professor Tracy Northup from the University of Innsbruck Institute for Experimental Physics will discuss the special role that optical cavities can play as quantum interfaces, or as bridges between quantum light and quantum matter.