Search Results - "Magesan, Easwar"

Scalable and robust randomized benchmarking of quantum processes by Magesan, Easwar, Gambetta, J M, Emerson, Joseph

“…In this Letter we propose a fully scalable randomized benchmarking protocol for quantum information processors. We prove that the protocol provides an…”
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Demonstration of a quantum error detection code using a square lattice of four superconducting qubits by Córcoles, A.D., Magesan, Easwar, Srinivasan, Srikanth J., Cross, Andrew W., Steffen, M., Gambetta, Jay M., Chow, Jerry M.

“…The ability to detect and deal with errors when manipulating quantum systems is a fundamental requirement for fault-tolerant quantum computing. Unlike…”
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Reducing Unitary and Spectator Errors in Cross Resonance with Optimized Rotary Echoes by Sundaresan, Neereja, Lauer, Isaac, Pritchett, Emily, Magesan, Easwar, Jurcevic, Petar, Gambetta, Jay M.

“…We present an improvement to the cross resonance gate realized with the addition of resonant, target rotary pulses. These pulses, applied directly to the…”
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Demonstration of Weight-Four Parity Measurements in the Surface Code Architecture by Takita, Maika, Córcoles, A D, Magesan, Easwar, Abdo, Baleegh, Brink, Markus, Cross, Andrew, Chow, Jerry M, Gambetta, Jay M

“…We present parity measurements on a five-qubit lattice with connectivity amenable to the surface code quantum error correction architecture. Using…”
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Laser-annealing Josephson junctions for yielding scaled-up superconducting quantum processors by Hertzberg, Jared B., Zhang, Eric J., Rosenblatt, Sami, Magesan, Easwar, Smolin, John A., Yau, Jeng-Bang, Adiga, Vivekananda P., Sandberg, Martin, Brink, Markus, Chow, Jerry M., Orcutt, Jason S.

“…As superconducting quantum circuits scale to larger sizes, the problem of frequency crowding proves a formidable task. Here we present a solution for this…”
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Machine Learning for Discriminating Quantum Measurement Trajectories and Improving Readout by Magesan, Easwar, Gambetta, Jay M, Córcoles, A D, Chow, Jerry M

“…Current methods for classifying measurement trajectories in superconducting qubit systems produce fidelities systematically lower than those predicted by…”
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Implementing a strand of a scalable fault-tolerant quantum computing fabric by Chow, Jerry M., Gambetta, Jay M., Magesan, Easwar, Abraham, David W., Cross, Andrew W., Johnson, B R, Masluk, Nicholas A., Ryan, Colm A., Smolin, John A., Srinivasan, Srikanth J., Steffen, M

“…With favourable error thresholds and requiring only nearest-neighbour interactions on a lattice, the surface code is an error-correcting code that has garnered…”
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Investigating the limits of randomized benchmarking protocols by Epstein, Jeffrey M., Cross, Andrew W., Magesan, Easwar, Gambetta, Jay M.

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Gate fidelity fluctuations and quantum process invariants by Magesan, Easwar, Blume-Kohout, Robin, Emerson, Joseph

“…We characterize the quantum gate fidelity in a state-independent manner by giving an explicit expression for its variance. The method we provide can be…”
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Modeling quantum noise for efficient testing of fault-tolerant circuits by Magesan, Easwar, Puzzuoli, Daniel, Granade, Christopher E., Cory, David G.

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Efficient measurement of quantum gate error by interleaved randomized benchmarking by Magesan, Easwar, Gambetta, Jay M, Johnson, B R, Ryan, Colm A, Chow, Jerry M, Merkel, Seth T, da Silva, Marcus P, Keefe, George A, Rothwell, Mary B, Ohki, Thomas A, Ketchen, Mark B, Steffen, M

“…We describe a scalable experimental protocol for estimating the average error of individual quantum computational gates. This protocol consists of interleaving…”
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Tractable simulation of error correction with honest approximations to realistic fault models by Puzzuoli, Daniel, Granade, Christopher, Haas, Holger, Criger, Ben, Magesan, Easwar, Cory, D. G.

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Scalable randomised benchmarking of non-Clifford gates by Cross, Andrew W, Magesan, Easwar, Bishop, Lev S, Smolin, John A, Gambetta, Jay M

“…Randomised benchmarking is a widely used experimental technique to characterise the average error of quantum operations. Benchmarking procedures that scale to…”
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Reconstructing the profile of time-varying magnetic fields with quantum sensors by Magesan, Easwar, Cooper, Alexandre, Yum, Honam, Cappellaro, Paola

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Characterizing quantum gates via randomized benchmarking by Magesan, Easwar, Gambetta, Jay M., Emerson, Joseph

“…We describe and expand upon the scalable randomized benchmarking protocol proposed in Phys. Rev. Lett. 106 180504 (2011) which provides a method for…”
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Reducing Spontaneous Emission in Circuit Quantum Electrodynamics by a Combined Readout/Filter Technique by Bronn, Nicholas T., Magesan, Easwar, Masluk, Nicholas A., Chow, Jerry M., Gambetta, Jay M., Steffen, Matthias

“…Physical implementations of qubits can be extremely sensitive to environmental coupling, which can result in decoherence. While efforts are made for…”
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Mitigating off-resonant error in the cross-resonance gate by Malekakhlagh, Moein, Magesan, Easwar

“…Off-resonant error for a driven quantum system refers to interactions due to the input drives having non-zero spectral overlap with unwanted system…”
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Experimentally efficient methods for estimating the performance of quantum measurements by Magesan, Easwar, Cappellaro, Paola

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Device challenges for near term superconducting quantum processors: frequency collisions by Brink, Markus, Chow, Jerry M., Hertzberg, Jared, Magesan, Easwar, Rosenblatt, Sami

“…The outstanding progress in experimental quantum computing with superconducting Josephson-junction based qubits over the past few decades has pushed coherence…”
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Compressing measurements in quantum dynamic parameter estimation by Magesan, Easwar, Cooper, Alexandre, Cappellaro, Paola

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