112 citations · 629 across the 15 of their papers we have counts for
16 papers
Reinforcement Learning Control of Quantum Error Correction
Volodymyr Sivak, Alexis Morvan, Michael Broughton +296
Quantum error correction (QEC) is the primary strategy for protecting a quantum computer from the environment. Its prerequisite is that errors must remain sufficiently rare, which…
Dephasing in Fluxonium Qubits from Coherent Quantum Phase Slips
Mallika T. Randeria, Thomas M. Hazard, Agustin Di Paolo +12
Phase slips occur across all Josephson junctions (JJs) at a rate that increases with the impedance of the junction. In superconducting qubits composed of JJ-array superinductors --…
Probing entanglement across the energy spectrum of a hard-core Bose-Hubbard lattice
Amir H. Karamlou, Ilan T. Rosen, Sarah E. Muschinske +16
Entanglement and its propagation are central to understanding a multitude of physical properties of quantum systems. Notably, within closed quantum many-body systems, entanglement…
Demonstration of tunable three-body interactions between superconducting qubits
Tim Menke, William P. Banner, Thomas R. Bergamaschi +16
Nonpairwise multi-qubit interactions present a useful resource for quantum information processors. Their implementation would facilitate more efficient quantum simulations of molec…
Distinguishing multi-spin interactions from lower-order effects
Thomas R. Bergamaschi, Tim Menke, William P. Banner +5
Multi-spin interactions can be engineered with artificial quantum spins. However, it is challenging to verify such interactions experimentally. Here we describe two methods to char…
Superconducting coupler with exponentially large on-off ratio
Catherine Leroux, Agustin Di Paolo, Alexandre Blais
Tunable two-qubit couplers offer an avenue to mitigate errors in multiqubit superconducting quantum processors. However, most couplers operate in a narrow frequency band and target…
Quantum transport and localization in 1d and 2d tight-binding lattices
Amir H. Karamlou, Jochen Braumüller, Yariv Yanay +16
Particle transport and localization phenomena in condensed-matter systems can be modeled using a tight-binding lattice Hamiltonian. The ideal experimental emulation of such a model…
Accurate methods for the analysis of strong-drive effects in parametric gates
Alexandru Petrescu, Camille Le Calonnec, Catherine Leroux +6
The ability to perform fast, high-fidelity entangling gates is an important requirement for a viable quantum processor. In practice, achieving fast gates often comes with the penal…
Quantum-tailored machine-learning characterization of a superconducting qubit
Élie Genois, Jonathan A. Gross, Agustin Di Paolo +5
Machine learning (ML) is a promising approach for performing challenging quantum-information tasks such as device characterization, calibration and control. ML models can train dir…
Moving beyond the transmon: Noise-protected superconducting quantum circuits
András Gyenis, Agustin Di Paolo, Jens Koch +3
Artificial atoms realized by superconducting circuits offer unique opportunities to store and process quantum information with high fidelity. Among them, implementations of circuit…
Fast and differentiable simulation of driven quantum systems
Ross Shillito, Jonathan A. Gross, Agustin Di Paolo +2
The controls enacting logical operations on quantum systems are described by time-dependent Hamiltonians that often include rapid oscillations. In order to accurately capture the r…
Quantum-optimal-control-inspired ansatz for variational quantum algorithms
Alexandre Choquette, Agustin Di Paolo, Panagiotis Kl. Barkoutsos +3
A central component of variational quantum algorithms (VQA) is the state-preparation circuit, also known as ansatz or variational form. This circuit is most commonly designed to re…
Improving the Performance of Deep Quantum Optimization Algorithms with Continuous Gate Sets
Nathan Lacroix, Christoph Hellings, Christian Kraglund Andersen +9
Variational quantum algorithms are believed to be promising for solving computationally hard problems and are often comprised of repeated layers of quantum gates. An example thereo…
Efficient modeling of superconducting quantum circuits with tensor networks
Agustin Di Paolo, Thomas E. Baker, Alexandre Foley +2
We introduce an efficient tensor network toolbox to compute the low-energy excitations of large-scale superconducting quantum circuits up to a desired accuracy. We benchmark this a…
Variational Quantum Simulation of Ultrastrong Light-Matter Coupling
Agustin Di Paolo, Panagiotis Kl. Barkoutsos, Ivano Tavernelli +1
We propose the simulation of quantum-optical systems in the ultrastrong-coupling regime using a variational quantum algorithm. More precisely, we introduce a short-depth variationa…
Coherence properties of the 0- qubit
Peter Groszkowski, A. Di Paolo, A. L. Grimsmo +4
Superconducting circuits rank among the most interesting architectures for the implementation of quantum information processing devices. The recently proposed 0- qubit [Brooks e…