July 21, 2021: Join us for the next NQN seminar: “Quantum Engineering of Superconducting Qubits” by William D. Oliver.
June 9, 2021: In this talk, Alán Aspuru-Guzik will discuss an overview of some example applications for near-term
May 7, 2021: In this talk, Margaret Martonosi and Prakash Murali present two cross-cutting optimizations that narrow the applications-to-hardware resource gap.
April 21, 2021: In this talk Mark Saffman will provide a snapshot of neutral atom quantum computing anno 2021 and present work in progress involving running VQE and QAOA on multi-qubit circuits.
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.
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.
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.