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20172024
most citedUnsupervised Machine Learning on a Hybrid Quantum Computer

228 citations · 230 across the 2 of their papers we have counts for

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quant-ph2024

Hardware-efficient quantum error correction via concatenated bosonic qubits

Harald Putterman, Kyungjoo Noh, Connor T. Hann +118

In order to solve problems of practical importance, quantum computers will likely need to incorporate quantum error correction, where a logical qubit is redundantly encoded in many…

quant-ph2024

Spatially parallel decoding for multi-qubit lattice surgery

Sophia Fuhui Lin, Eric C. Peterson, Krishanu Sankar +1

Running quantum algorithms protected by quantum error correction requires a real time, classical decoder. To prevent the accumulation of a backlog, this decoder must process syndro…

quant-ph2019

Assessing the Influence of Broadband Instrumentation Noise on Parametrically Modulated Superconducting Qubits

E. Schuyler Fried, Prasahnt Sivarajah, Nicolas Didier +4

With superconducting transmon qubits --- a promising platform for quantum information processing --- two-qubit gates can be performed using AC signals to modulate a tunable transmo…

quant-ph2019

Demonstration of a Parametrically-Activated Entangling Gate Protected from Flux Noise

Sabrina S. Hong, Alexander T. Papageorge, Prasahnt Sivarajah +7

In state-of-the-art quantum computing platforms, including superconducting qubits and trapped ions, imperfections in the 2-qubit entangling gates are the dominant contributions of…

quant-ph2017228 cited

Unsupervised Machine Learning on a Hybrid Quantum Computer

J. S. Otterbach, R. Manenti, N. Alidoust +27

Machine learning techniques have led to broad adoption of a statistical model of computing. The statistical distributions natively available on quantum processors are a superset of…