activity
20192026
most citedSuppressing quantum errors by scaling a surface code logical qubit

1.1k citations · 2.8k across the 17 of their papers we have counts for

collaborators

19 papers

cs.LG2026

Fault-tolerant foundation models

Trevor McCourt, Ila R. Fiete, Isaac L. Chuang

Emerging computer hardware often trades reliability for energy efficiency; here we show that large-language models (LLMs) can be trained to tolerate this unreliability, and that ra…

cond-mat.stat-mech2026

Taming non-equilibrium thermal fluctuations in subthreshold CMOS circuits

Nahuel Freitas, Geremia Massarelli, Jeremy Rothschild +5

As CMOS technology scales down, thermal fluctuations increasingly impact circuit behavior, posing challenges to conventional circuit design. However, the inherent stochasticity int…

cond-mat.mes-hall2025

Improved diffusive approximation of Markov jump processes close to equilibrium

David Roberts, Trevor McCourt, Geremia Massarelli +2

Diffusive approximations of Markov jump processes often fail to accurately capture large fluctuations. This is confounding, as the rare events triggered by these large fluctuations…

cs.LG2025

An efficient probabilistic hardware architecture for diffusion-like models

Andraž Jelinčič, Owen Lockwood, Akhil Garlapati +4

The proliferation of probabilistic AI has prompted proposals for specialized stochastic computers. Despite promising efficiency gains, these proposals have failed to gain traction…

quant-ph2024

Mechanically Designing Protected Superconducting Qubits

Trevor McCourt

Significant progress is required in the engineering of large, interacting quantum systems in order to realize the promises of gate-model quantum computing. Designing such systems i…

q-bio.PE2023★ 1 cited

Noisy dynamical systems evolve error correcting codes and modularity

Trevor McCourt, Ila R. Fiete, Isaac L. Chuang

Noise is a ubiquitous feature of the physical world. As a result, the first prerequisite of life is fault tolerance: maintaining integrity of state despite external bombardment. Re…

quant-ph2023★ 183 cited

Measurement-induced entanglement and teleportation on a noisy quantum processor

Jesse C. Hoke, Matteo Ippoliti, Eliott Rosenberg +160

Measurement has a special role in quantum theory: by collapsing the wavefunction it can enable phenomena such as teleportation and thereby alter the "arrow of time" that constrains…

quant-ph2022★ 69 cited

Purification-based quantum error mitigation of pair-correlated electron simulations

T. E. O'Brien, G. Anselmetti, F. Gkritsis +173

An important measure of the development of quantum computing platforms has been the simulation of increasingly complex physical systems. Prior to fault-tolerant quantum computing,…

quant-ph2022★ 14 cited

Non-Abelian braiding of graph vertices in a superconducting processor

Trond I. Andersen, Yuri D. Lensky, Kostyantyn Kechedzhi +166

Indistinguishability of particles is a fundamental principle of quantum mechanics. For all elementary and quasiparticles observed to date - including fermions, bosons, and Abelian…

quant-ph2022★ 47 cited

Readout of a quantum processor with high dynamic range Josephson parametric amplifiers

T. C. White, Alex Opremcak, George Sterling +91

We demonstrate a high dynamic range Josephson parametric amplifier (JPA) in which the active nonlinear element is implemented using an array of rf-SQUIDs. The device is matched to…

quant-ph2022★ 1.1k cited

Suppressing quantum errors by scaling a surface code logical qubit

Rajeev Acharya, Igor Aleiner, Richard Allen +154

Practical quantum computing will require error rates that are well below what is achievable with physical qubits. Quantum error correction offers a path to algorithmically-relevant…

quant-ph2022★ 18 cited

Learning Noise via Dynamical Decoupling of Entangled Qubits

Trevor McCourt, Charles Neill, Kenny Lee +8

Noise in entangled quantum systems is difficult to characterize due to many-body effects involving multiple degrees of freedom. This noise poses a challenge to quantum computing, w…

quant-ph2021★ 359 cited

Observation of Time-Crystalline Eigenstate Order on a Quantum Processor

Xiao Mi, Matteo Ippoliti, Chris Quintana +102

Quantum many-body systems display rich phase structure in their low-temperature equilibrium states. However, much of nature is not in thermal equilibrium. Remarkably, it was recent…

quant-ph2021★ 410 cited

Exponential suppression of bit or phase flip errors with repetitive error correction

Zijun Chen, Kevin J. Satzinger, Juan Atalaya +88

Realizing the potential of quantum computing will require achieving sufficiently low logical error rates. Many applications call for error rates in the regime, but state…

quant-ph2021★ 304 cited

Information Scrambling in Computationally Complex Quantum Circuits

Xiao Mi, Pedram Roushan, Chris Quintana +90

Interaction in quantum systems can spread initially localized quantum information into the many degrees of freedom of the entire system. Understanding this process, known as quantu…

quant-ph2020★ 69 cited

Accurately computing electronic properties of a quantum ring

C. Neill, T. McCourt, X. Mi +89

A promising approach to study condensed-matter systems is to simulate them on an engineered quantum platform. However, achieving the accuracy needed to outperform classical methods…

quant-ph2020★ 95 cited

Observation of separated dynamics of charge and spin in the Fermi-Hubbard model

Frank Arute, Kunal Arya, Ryan Babbush +96

Strongly correlated quantum systems give rise to many exotic physical phenomena, including high-temperature superconductivity. Simulating these systems on quantum computers may avo…

quant-ph2020

TensorFlow Quantum: A Software Framework for Quantum Machine Learning

Michael Broughton, Guillaume Verdon, Trevor McCourt +26

We introduce TensorFlow Quantum (TFQ), an open source library for the rapid prototyping of hybrid quantum-classical models for classical or quantum data. This framework offers high…

quant-ph2019★ 60 cited

Quantum Graph Neural Networks

Guillaume Verdon, Trevor McCourt, Enxhell Luzhnica +3

We introduce Quantum Graph Neural Networks (QGNN), a new class of quantum neural network ansatze which are tailored to represent quantum processes which have a graph structure, and…