17 citations · 47 across the 13 of their papers we have counts for
6 papers · 2 filters
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…
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…
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…
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…
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…
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…