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19922026
most citedPractical Bayesian Optimization of Machine Learning Algorithms

5.7k citations

Showing 2009 · quant-phShow all

6 papers · 2 filters

quant-ph2009★ 73 cited

Tunable joint measurements in the dispersive regime of cavity QED

Kevin Lalumière, J. M. Gambetta, Alexandre Blais

Joint measurements of multiple qubits have been shown to open new possibilities for quantum information processing. Here, we present an approach based on homodyne detection to real…

quant-ph2009★ 313 cited

Quantum Metropolis Sampling

K. Temme, T. J. Osborne, K. G. Vollbrecht +2

The original motivation to build a quantum computer came from Feynman who envisaged a machine capable of simulating generic quantum mechanical systems, a task that is believed to b…

quant-ph2009★ 246 cited

Fast Decoders for Topological Quantum Codes

Guillaume Duclos-Cianci, David Poulin

We present a family of algorithms, combining real-space renormalization methods and belief propagation, to estimate the free energy of a topologically ordered system in the presenc…

quant-ph2009★ 19 cited

Coarse grained belief propagation for simulation of interacting quantum systems at all temperatures

Ersen Bilgin, David Poulin

We continue our numerical study of quantum belief propagation initiated in [Phys. Rev. A, 77 (2008), p. 052318]. We demonstrate how the method can be expressed in terms of an effec…

quant-ph2009★ 190 cited

Tradeoffs for reliable quantum information storage in 2D systems

Sergey Bravyi, David Poulin, Barbara Terhal

We ask whether there are fundamental limits on storing quantum information reliably in a bounded volume of space. To investigate this question, we study quantum error correcting co…

quant-ph2009★ 211 cited

Sampling from the thermal quantum Gibbs state and evaluating partition functions with a quantum computer

David Poulin, Pawel Wocjan

We present a quantum algorithm to prepare the thermal Gibbs state of interacting quantum systems. This algorithm sets a universal upper bound D^alpha on the thermalization time of…