Search Results for author: Kristan Temme

Found 6 papers, 4 papers with code

Error mitigation for universal gates on encoded qubits

no code implementations8 Mar 2021 Christophe Piveteau, David Sutter, Sergey Bravyi, Jay M. Gambetta, Kristan Temme

The Eastin-Knill theorem states that no quantum error correcting code can have a universal set of transversal gates.

Quantum Physics

Model-free readout-error mitigation for quantum expectation values

no code implementations17 Dec 2020 Ewout van den Berg, Zlatko K. Minev, Kristan Temme

Here, we propose a very simple method that forces the bias in the expectation value to appear as a multiplicative factor that can be measured directly and removed at the cost of an increase in the sampling complexity for the observable.

Quantum Physics

A rigorous and robust quantum speed-up in supervised machine learning

1 code implementation5 Oct 2020 Yunchao Liu, Srinivasan Arunachalam, Kristan Temme

Over the past few years several quantum machine learning algorithms were proposed that promise quantum speed-ups over their classical counterparts.

BIG-bench Machine Learning Quantum Machine Learning

Supervised learning with quantum enhanced feature spaces

1 code implementation30 Apr 2018 Vojtech Havlicek, Antonio D. Córcoles, Kristan Temme, Aram W. Harrow, Abhinav Kandala, Jerry M. Chow, Jay M. Gambetta

Both methods represent the feature space of a classification problem by a quantum state, taking advantage of the large dimensionality of quantum Hilbert space to obtain an enhanced solution.

BIG-bench Machine Learning General Classification

Hardware-efficient Variational Quantum Eigensolver for Small Molecules and Quantum Magnets

1 code implementation17 Apr 2017 Abhinav Kandala, Antonio Mezzacapo, Kristan Temme, Maika Takita, Markus Brink, Jerry M. Chow, Jay M. Gambetta

Quantum computers can be used to address molecular structure, materials science and condensed matter physics problems, which currently stretch the limits of existing high-performance computing resources.

Quantum Physics Superconductivity

Tapering off qubits to simulate fermionic Hamiltonians

1 code implementation27 Jan 2017 Sergey Bravyi, Jay M. Gambetta, Antonio Mezzacapo, Kristan Temme

Such encodings eliminate redundant degrees of freedom in a way that preserves a simple structure of the system Hamiltonian enabling quantum simulations with fewer qubits.

Quantum Physics

Cannot find the paper you are looking for? You can Submit a new open access paper.