5 papers · 1 filter
Analytically Continuing the Randomized Measurement Toolbox
Akash Vijay, Ayush Raj, Jonah Kudler-Flam +3
We develop a framework for extracting non-polynomial analytic functions of density matrices in randomized measurement experiments by a method of analytical continuation. A central…
RandomMeas.jl: A Julia Package for Randomized Measurements in Quantum Devices
Andreas Elben, Benoît Vermersch
We introduce $\texttt{RandomMeas$.$jl}$, a modular and high-performance open-source software package written in Julia for implementing and analyzing randomized measurement protocol…
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…
Learning mixed quantum states in large-scale experiments
Matteo Votto, Marko Ljubotina, Cécilia Lancien +5
We present and test a protocol to learn the matrix-product operator (MPO) representation of an experimentally prepared quantum state. The protocol takes as an input classical shado…
Universal quantum processors in spin systems via robust local pulse sequences
Matteo Votto, Johannes Zeiher, Benoît Vermersch
We propose a protocol to realize quantum simulation and computation in spin systems with long-range interactions. Our approach relies on the local addressing of single spins with e…