Search Results for author: Jay M. Gambetta

Found 11 papers, 5 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

Exploiting dynamic quantum circuits in a quantum algorithm with superconducting qubits

no code implementations2 Feb 2021 Antonio D. Corcoles, Maika Takita, Ken Inoue, Scott Lekuch, Zlatko K. Minev, Jerry M. Chow, Jay M. Gambetta

The execution of quantum circuits on real systems has largely been limited to those which are simply time-ordered sequences of unitary operations followed by a projective measurement.

Quantum Physics

Validating quantum computers using randomized model circuits

no code implementations30 Nov 2018 Andrew W. Cross, Lev S. Bishop, Sarah Sheldon, Paul D. Nation, Jay M. Gambetta

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

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

Open Quantum Assembly Language

18 code implementations11 Jul 2017 Andrew W. Cross, Lev S. Bishop, John A. Smolin, Jay M. Gambetta

This document describes a quantum assembly language (QASM) called OpenQASM that is used to implement experiments with low depth quantum circuits.

Quantum Physics

Experimental demonstration of fault-tolerant state preparation with superconducting qubits

no code implementations25 May 2017 Maika Takita, Andrew W. Cross, A. D. Córcoles, Jerry M. Chow, Jay M. Gambetta

Robust quantum computation requires encoding delicate quantum information into degrees of freedom that are hard for the environment to change.

Quantum Physics

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

Self-Consistent Quantum Process Tomography

no code implementations1 Nov 2012 Seth T. Merkel, Jay M. Gambetta, John A. Smolin, S. Poletto, A. D. Córcoles, B. R. Johnson, Colm A. Ryan, M. Steffen

The essential ingredient is to define a likelihood function that assumes nothing about the gates used for preparation and measurement.

Quantum Physics

Complete universal quantum gate set approaching fault-tolerant thresholds with superconducting qubits

no code implementations23 Feb 2012 Jerry M. Chow, Jay M. Gambetta, A. D. Corcoles, Seth T. Merkel, John A. Smolin, Chad Rigetti, S. Poletto, George A. Keefe, Mary B. Rothwell, J. R. Rozen, Mark B. Ketchen, M. Steffen

We use quantum process tomography to characterize a full universal set of all-microwave gates on two superconducting single-frequency single-junction transmon qubits.

Quantum Physics Mesoscale and Nanoscale Physics

Maximum Likelihood, Minimum Effort

1 code implementation27 Jun 2011 John A. Smolin, Jay M. Gambetta, Graeme Smith

We provide an efficient method for computing the maximum likelihood mixed quantum state (with density matrix rho) given a set of measurement outcome in a complete orthonormal operator basis subject to Gaussian noise.

Quantum Physics

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