Search Results for author:
Found 3 papers, 1 papers with code
Quantum-enhanced Markov chain Monte Carlo
Here we introduce a quantum algorithm to sample from distributions that pose a bottleneck in several applications, which we implement on a superconducting quantum processor.
Active Learning of Quantum System Hamiltonians yields Query Advantage
Hamiltonian learning is an important procedure in quantum system identification, calibration, and successful operation of quantum computers.
Validating quantum computers using randomized model circuits
We introduce a single-number metric, quantum volume, that can be measured using a concrete protocol on near-term quantum computers of modest size ($n\lesssim 50$), and measure it on several state-of-the-art transmon devices, finding values as high as 8.
Quantum Physics
