activity
20242026
most citedQuantum error correction below the surface code threshold

702 citations · 781 across the 23 of their papers we have counts for

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Showing 2025Show all

13 papers · 1 filter

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★ 1 cited

The Grand Challenge of Quantum Applications

Ryan Babbush, Robbie King, Sergio Boixo +6

This perspective outlines promising pathways and critical obstacles on the road to developing useful quantum computing applications, drawing on insights from the Google Quantum AI…

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

The FLuid Allocation of Surface code Qubits (FLASQ) cost model for early fault-tolerant quantum algorithms

William J. Huggins, Tanuj Khattar, Amanda Xu +6

Holistic resource estimates are essential for guiding the development of fault-tolerant quantum algorithms and the computers they will run on. This is particularly true when we foc…

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

A simplified version of the quantum OTOC problem

Robbie King, Robin Kothari, Ryan Babbush +4

This note presents a simplified version of the OTOC problem that was recently experimentally implemented by Google Quantum AI and collaborators. We present a formulation of…

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

Verifiable Quantum Advantage via Optimized DQI Circuits

Tanuj Khattar, Noah Shutty, Craig Gidney +5

Decoded Quantum Interferometry (DQI) provides a framework for superpolynomial quantum speedups by reducing certain optimization problems to reversible decoding tasks. We apply DQI…

quant-ph2025

Quantum simulation of electronic structure via quantum fast multipole method

Dominic W. Berry, Kianna Wan, Andrew D. Baczewski +3

Here we describe an approach for simulating electronic structure on quantum computers with significantly lower asymptotic complexity than prior work. The approach uses a real-space…

quant-ph2025

Quantum algorithm for linear matrix equations

Rolando D. Somma, Guang Hao Low, Dominic W. Berry +1

We describe an efficient quantum algorithm for solving the linear matrix equation AX+XB=C, where A, B, and C are given complex matrices and X is unknown. This is known as the Sylve…

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

Quantum simulation with sum-of-squares spectral amplification

Robbie King, Guang Hao Low, Ryan Babbush +2

We present sum-of-squares spectral amplification (SOSSA), a framework for improving quantum simulation relevant to low-energy problems. We show how SOSSA can be applied to problems…

quant-ph2025★ 9 cited

Fast quantum simulation of electronic structure by spectrum amplification

Guang Hao Low, Robbie King, Dominic W. Berry +6

The most advanced techniques using fault-tolerant quantum computers to estimate the ground-state energy of a chemical Hamiltonian involve compression of the Coulomb operator throug…