activity
19922026
most citedSupplementary information for "Quantum supremacy using a programmable superconducting processor"

7.2k citations · 23.3k across the 83 of their papers we have counts for

collaborators

86 papers

quant-ph2026

Decoupling of the QAOA into independent spin-boson systems and high-depth performance on pure and mixed spin glasses

Sami Boulebnane, Abid Khan, Pragna Subrahmanya +4

The Quantum Approximate Optimization Algorithm (QAOA) is regarded as a promising candidate for near-term quantum advantage in combinatorial optimization, yet our ability to study i…

quant-ph2026

Provable Classical and Quantum Local Algorithms for Max--Cut and Quantum Advantage at Moderate Girth

Anuj Apte, Abid Khan, Edward Farhi +3

Broadening the study of quantum optimization algorithms from binary to -element alphabets has been shown to open new avenues for potential quantum advantage. A quantum advantage…

quant-ph2025

Future of Quantum Computing

Scott Aaronson, Andrew M. Childs, Edward Farhi +2

On Tuesday 26th November 2024, four discussants participated in a moderated virtual panel titled Future of Quantum Computing as one session of the 8th International Conference on Q…

quant-ph2025

Constructive interference at the edge of quantum ergodic dynamics

Dmitry A. Abanin, Rajeev Acharya, Laleh Aghababaie-Beni +262

Quantum observables in the form of few-point correlators are the key to characterizing the dynamics of quantum many-body systems. In dynamics with fast entanglement generation, qua…

quant-ph2025

Lower bounding the MaxCut of high girth 3-regular graphs using the QAOA

Edward Farhi, Sam Gutmann, Daniel Ranard +1

We study MaxCut on 3-regular graphs of minimum girth for various 's. We obtain new lower bounds on the maximum cut achievable in such graphs by analyzing the Quantum Approxi…

quant-ph2024★ 1 cited

Strategies for running the QAOA at hundreds of qubits

Brandon Augustino, Madelyn Cain, Edward Farhi +5

We explore strategies aimed at reducing the amount of computation, both quantum and classical, required to run the Quantum Approximate Optimization Algorithm (QAOA). First, followi…