activity
19982025
most citedSupplementary information for "Quantum supremacy using a programmable superconducting processor"

7.2k citations · 13.9k across the 38 of their papers we have counts for

collaborators

39 papers

quant-ph2025

Reinforcement Learning Control of Quantum Error Correction

Volodymyr Sivak, Alexis Morvan, Michael Broughton +296

Quantum error correction (QEC) is the primary strategy for protecting a quantum computer from the environment. Its prerequisite is that errors must remain sufficiently rare, which…

quant-ph2025

Quantum computation of molecular geometry via many-body nuclear spin echoes

C. Zhang, R. G. Cortiñas, A. H. Karamlou +320

Quantum-information-inspired experiments in nuclear magnetic resonance spectroscopy may yield a pathway towards determining molecular structure and properties that are otherwise ch…

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-ph2024★ 47 cited

Scaling and logic in the color code on a superconducting quantum processor

Nathan Lacroix, Alexandre Bourassa, Francisco J. H. Heras +212

Quantum error correction is essential for bridging the gap between the error rates of physical devices and the extremely low logical error rates required for quantum algorithms. Re…

quant-ph2024★ 1 cited

Demonstrating dynamic surface codes

Alec Eickbusch, Matt McEwen, Volodymyr Sivak +204

A remarkable characteristic of quantum computing is the potential for reliable computation despite faulty qubits. This can be achieved through quantum error correction, which is ty…

quant-ph2024

Observation of disorder-free localization using a (2+1)D lattice gauge theory on a quantum processor

Gaurav Gyawali, Shashwat Kumar, Yuri D. Lensky +219

Disorder-induced phenomena in quantum many-body systems pose significant challenges for analytical methods and numerical simulations at relevant time and system scales. To reduce t…