8 papers
When is randomization advantageous in quantum simulation?
Francesco Paganelli, Michele Grossi, Andrea Giachero +2
We study the regimes in which Hamiltonian simulation benefits from randomization. We introduce a sparse-QSVT construction based on composite stochastic decompositions, where domina…
Accurate ground state energy estimation with noise and imperfect state preparation
Alicja Dutkiewicz, Thomas E. O'Brien, Stefano Polla
We introduce a classical estimator for the post-processing of quantum phase estimation (QPE) data when a single target phase is isolated within a known interval, as is typical of g…
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…