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20202026
most citedQuantum error correction below the surface code threshold

702 citations · 1.4k across the 23 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

quant-ph2024★ 47 cited

Scaling and logic in the color code on a superconducting quantum processor

Nathan Lacroix, Alexandre Bourassa, Francisco J. H. Heras +212

Quantum error correction is essential for bridging the gap between the error rates of physical devices and the extremely low logical error rates required for quantum algorithms. Re…

quant-ph2024★ 1 cited

Demonstrating dynamic surface codes

Alec Eickbusch, Matt McEwen, Volodymyr Sivak +204

A remarkable characteristic of quantum computing is the potential for reliable computation despite faulty qubits. This can be achieved through quantum error correction, which is ty…

quant-ph2024★ 1 cited

Low loss lumped-element inductors made from granular aluminum

Vishakha Gupta, Patrick Winkel, Neel Thakur +5

Lumped-element inductors are an integral component in the circuit QED toolbox. However, it is challenging to build inductors that are simultaneously compact, linear and low-loss wi…

quant-ph2024

Observation of disorder-free localization using a (2+1)D lattice gauge theory on a quantum processor

Gaurav Gyawali, Shashwat Kumar, Yuri D. Lensky +219

Disorder-induced phenomena in quantum many-body systems pose significant challenges for analytical methods and numerical simulations at relevant time and system scales. To reduce t…

quant-ph2024★ 27 cited

Visualizing Dynamics of Charges and Strings in (2+1)D Lattice Gauge Theories

Tyler A. Cochran, Bernhard Jobst, Eliott Rosenberg +189

Lattice gauge theories (LGTs) can be employed to understand a wide range of phenomena, from elementary particle scattering in high-energy physics to effective descriptions of many-…

quant-ph2024★ 702 cited

Quantum error correction below the surface code threshold

Rajeev Acharya, Laleh Aghababaie-Beni, Igor Aleiner +246

Quantum error correction provides a path to reach practical quantum computing by combining multiple physical qubits into a logical qubit, where the logical error rate is suppressed…