Daniel Lidar: Scaling Advantage in Approximate Optimization with Quantum Annealing

Daniel Lidar: Scaling Advantage in Approximate Optimization with Quantum Annealing

Share:

Similar Tracks

Yulong Dong: Noise Learning with Quantum Signal Processing for Analog Quantum Computation QuICS

Edward Farhi: An Update on the Quantum Approximate Optimization Algorithm QuICS

Trump Thanks Qatar for Their Generous Jet Bribe & Accidentally Does a Socialism | The Daily Show The Daily Show

Whatever Happened to American Politics? Stanford Graduate School of Business

Andrew Lucas: Quantum codes as robust phases of matter QuICS

Trond Andersen: Thermalization and Criticality on an Analog-Digital Quantum Simulator QuICS

Steven Flammia: A Constructive Approach to Zauner’s Conjecture via the Stark Conjectures QuICS

How to Start Coding | Programming for Beginners | Learn Coding | Intellipaat Intellipaat

Pradeep Niroula: Certified Randomness from a Trapped-Ion Quantum Processor QuICS

Transformers (how LLMs work) explained visually | DL5 3Blue1Brown

Saudi Arabia Gives Trump the Royal Treatment With McDonald's & a Mid-Meeting Nap | The Daily Show The Daily Show

Christopher Monroe: Gate and Analog Quantum Processing with Trapped Ions (they’re the same thing) QuICS

Vector Funnel Methodology for Power Analysis from Emulation to RTL to Signoff -- Synopsys EE Journal

Harvard Professor Explains Algorithms in 5 Levels of Difficulty | WIRED WIRED

Howard Barnum: Two principle-based formulations of quantum theory QuICS