387 citations
- Fermi National Accelerator LaboratoryUS16 papers
- Ames National LaboratoryUS11 papers
- Ames Research CenterUS10 papers
- University of Colorado BoulderUS10 papers
- National Institute of Standards and TechnologyUS9 papers
- Northwestern UniversityUS9 papers
- Iowa State UniversityUS8 papers
- Research Institute for Advanced Computer ScienceUS7 papers
- Lawrence Berkeley National LaboratoryUS5 papers
- Lawrence Livermore National LaboratoryUS5 papers
- Louisiana State UniversityUS5 papers
- University of California, BerkeleyUS4 papers
8 papers · 2 filters
Performance of the Quantum Approximate Optimization Algorithm on the Maximum Cut Problem
Gavin E. Crooks
The Quantum Approximate Optimization Algorithm (QAOA) is a promising approach for programming a near-term gate-based hybrid quantum computer to find good approximate solutions of h…
PennyLane: Automatic differentiation of hybrid quantum-classical computations
Ville Bergholm, Josh Izaac, Maria Schuld +65
PennyLane is a Python 3 software framework for differentiable programming of quantum computers. The library provides a unified architecture for near-term quantum computing devices,…
Computational modeling of decay and hybridization in superconducting circuits
Michael G. Scheer, Maxwell B. Block
We present a framework for modeling superconducting circuits that integrates classical microwave analysis with circuit quantization. Our framework enables the calculation of the lo…
Lifetime renormalization of weakly anharmonic superconducting qubits: I. Role of number non-conserving terms
Moein Malekakhlagh, Alexandru Petrescu, Hakan E. Türeci
The dynamics of a weakly anharmonic superconducting qubit in a complex electromagnetic environment is generally well-described by an effective multimode Kerr Hamiltonian at suffici…
AC flux sweet spots in parametrically-modulated superconducting qubits
Nicolas Didier, Eyob A. Sete, Joshua Combes +1
The ubiquitous presence of flux noise was a significant barrier to long-coherence in superconducting qubits until the development of qubits that could operate in static, flux…
Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers
C. M. Wilson, J. S. Otterbach, N. Tezak +7
Noisy intermediate-scale quantum computing devices are an exciting platform for the exploration of the power of near-term quantum applications. Performing nontrivial tasks in such…