207 citations · 433 across the 15 of their papers we have counts for
14 papers · 1 filter
Towards verifiable quantum advantage with random circuits: Observables that survive concentration
Antonio A. Mele, Francesco A. Mele, Jarrod R. McClean +1
Demonstrating quantum advantage on current quantum hardware is a central goal of quantum computing, and random quantum circuits underpin many leading proposals. Yet sampling-based…
Quantum error mitigation from information dynamics
Philippe Suchsland, Thomas Schuster, Manuel S. Rudolph +3
Overcoming experimental errors is a central challenge in quantum science. This challenge is particularly acute in large and complex quantum circuits, where quantum information spre…
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…
Error mitigation and circuit division for early fault-tolerant quantum phase estimation
Alicja Dutkiewicz, Stefano Polla, Maximilian Scheurer +3
As fully fault-tolerant quantum computers capable of solving useful problems remain a distant goal, we anticipate an era of "early fault tolerance" where limited error correction i…
Shadow Hamiltonian Simulation
Rolando D. Somma, Robbie King, Robin Kothari +2
Simulating quantum dynamics is one of the most important applications of quantum computers. Traditional approaches for quantum simulation involve preparing the full evolved state o…
Compilation of product-formula Hamiltonian simulation via reinforcement learning
Lea M. Trenkwalder, Eleanor Scerri, Thomas E. O'Brien +1
Hamiltonian simulation is believed to be one of the first tasks where quantum computers can yield a quantum advantage. One of the most popular methods of Hamiltonian simulation is…
A diagrammatic approach to variational quantum ansatz construction
Y. Herasymenko, T. E. O'Brien
Variational quantum eigensolvers (VQEs) are a promising class of quantum algorithms for preparing approximate ground states in near-term quantum devices. Minimizing the error in su…
Adaptive weight estimator for quantum error correction
S. T. Spitz, B. Tarasinski, C. W. J. Beenakker +1
Quantum error correction of a surface code or repetition code requires the pairwise matching of error events in a space-time graph of qubit measurements, such that the total weight…
Machine-learning-assisted correction of correlated qubit errors in a topological code
P. Baireuther, T. E. O'Brien, B. Tarasinski +1
A fault-tolerant quantum computation requires an efficient means to detect and correct errors that accumulate in encoded quantum information. In the context of machine learning, ne…