4 papers
Bounded-Error Quantum Simulation via Hamiltonian and Lindbladian Learning
Tristan Kraft, Manoj K. Joshi, William Lam +13
Analog Quantum Simulators offer a route to exploring strongly correlated many-body dynamics beyond classical computation, but their predictive power remains limited by the absence…
Lower Bounds on Learning Pauli Channels with Individual Measurements
Omar Fawzi, Aadil Oufkir, Daniel Stilck França
Understanding the noise affecting a quantum device is of fundamental importance for scaling quantum technologies. A particularly important class of noise models is that of Pauli ch…
Efficient ground-state energy estimation and certification on early fault-tolerant quantum computers
Guoming Wang, Daniel Stilck França, Gumaro Rendon +1
A major thrust in quantum algorithm development over the past decade has been the search for the quantum algorithms that will deliver practical quantum advantage first. Today's qua…
Going Beyond Gadgets: The Importance of Scalability for Analogue Quantum Simulators
Dylan Harley, Ishaun Datta, Frederik Ravn Klausen +4
Quantum hardware has the potential to efficiently solve computationally difficult problems in physics and chemistry to reap enormous practical rewards. Analogue quantum simulation…