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Quantum Developer Conference | State of the Union | 2025
David Bernal Neira | The Intractable Decathlon | QDC 2025
Daniel Lidar: Scaling Advantage in Approximate Optimization with Quantum Annealing
The Dumbest Multi Objective Optimization Tutorial (And the Most Useful)
A Deep Dive Into Sample-Based Quantum Diagonalization Methods: Javier Robledo Moreno | QGSS 2025
Lecture 5.2 - Introduction to the Quantum Approximate Optimization Algorithm and Applications
Edward Farhi: An Update on the Quantum Approximate Optimization Algorithm
Kevin Sung and Mario Motta | Simulation Landscape Overview and Capabilities | QDC 2025
Stanford AA222 I Engineering Design Optimization | Spring 2025 | Multiobjective Optimization
An update on the Quantum Approximate Optimization Algorithm | Edward Farhi (MIT)
Exponential quantum advantage in processing massive classical data | Haimeng Zhao (Caltech)
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Last Updated: October 14, 2026
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Summary
In this course we will cover combinatorial Everyone is asking whether their workload belongs on a David Bernal Neira introduces the Intractable Decathlon, a new benchmarking effort created with the IBM This talk will begin with a review of a decade of efforts to demonstrate a scaling advantage in Many people asked me how to use In this lecture, we present the fundamental concepts behind Sample-Based All notes are available for download over on the site under "Suggested Links": ... Mario Motta and Kevin Sung present a two part session on Hamiltonian simulation and new Qiskit tools. Mario Motta gives an ... Recorded as part of the KITP Conference "Beyond Gate-Based
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