activity
20192026
most citedScaling and logic in the color code on a superconducting quantum processor

47 citations · 50 across the 12 of their papers we have counts for

collaborators

13 papers

quant-ph2026

Precision quantum simulation of magnon spectra and interactions

Trond I. Andersen, Nikita Astrakhantsev, Jeronimo Martinez +329

Quantum simulation promises to advance materials discovery by accurately simulating complex states of matter, their microscopic excitations, and macroscopic response functions. The…

quant-ph2026

Multifractal and Glassy Signatures of Non-Ergodic 2D Quantum Dynamics

Aleksey Lunkin, Nicole S. Ticea, Michael T. Solomon +296

The fate of ergodicity and localization in disordered, interacting quantum systems in two spatial dimensions remains an outstanding open problem in non-equilibrium physics. Theoret…

quant-ph2025

Magic state cultivation on a superconducting quantum processor

Emma Rosenfeld, Craig Gidney, Gabrielle Roberts +292

Fault-tolerant quantum computing requires a universal gate set, but the necessary non-Clifford gates represent a significant resource cost for most quantum error correction archite…

quant-ph2025

Observation of disorder-induced superfluidity

Nicole Ticea, Elias Portoles, Eliott Rosenberg +298

The emergence of states with long-range correlations in a disordered landscape is rare, as disorder typically suppresses the particle mobility required for long-range coherence. Bu…

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…

cs.CL2022

Handling Compounding in Mobile Keyboard Input

Andreas Kabel, Keith Hall, Tom Ouyang +3

This paper proposes a framework to improve the typing experience of mobile users in morphologically rich languages. Smartphone keyboards typically support features such as input de…

cs.LG2021★ 1 cited

Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training

Lillian Zhou, Dhruv Guliani, Andreas Kabel +2

Transformer-based architectures have been the subject of research aimed at understanding their overparameterization and the non-uniform importance of their layers. Applying these a…

eess.AS2020

Low-rank Gradient Approximation For Memory-Efficient On-device Training of Deep Neural Network

Mary Gooneratne, Khe Chai Sim, Petr Zadrazil +3

Training machine learning models on mobile devices has the potential of improving both privacy and accuracy of the models. However, one of the major obstacles to achieving this goa…

eess.AS2019★ 1 cited

Personalization of End-to-end Speech Recognition On Mobile Devices For Named Entities

Khe Chai Sim, Françoise Beaufays, Arnaud Benard +9

We study the effectiveness of several techniques to personalize end-to-end speech models and improve the recognition of proper names relevant to the user. These techniques differ i…