#surfacecode search results
#Quantumerrorcorrection allows to correct for arbitrary quantum noise. But common codes such as the #surfacecode are best suited to iid unbiased noise. In this work, we tailor the surface code to non-independent and non-identically distributed errors. scirate.com/arxiv/2208.021…
> qubits n. For the #SurfaceCode, Darmawan and Poulin^{28,29} proposed an algorithm with a runtime exponential in n^{1/2} based on tensor networks, and simulated systems with up to 153 qubits. This algorithm can handle arbitrary noise (including, e.g., amplitude damping). >
Our paper on Repeated #Quantum #ErrorDetection in a #SurfaceCode is out in @NaturePhysics today. Check out the proud @ETH_physics @ETH_en first author presenting the setup, sample mount and chip in the photographs below. nature.com/articles/s4156…
Surface-code lattices on 2D superconducting qubit arrays implement real-time stabilizer measurements, demonstrating distance-3 logical qubit lifetimes .#SurfaceCode #Logical
Quantum error-correction research focuses on surface codes implemented on cross-resonance gates, achieving logical error rates below 1% in lab tests. #SurfaceCode #ErrorCorrection
Quantum benchmark challenge: 50 logical qubits demonstrated via surface-code prototypes in national lab facilities, validating fault-tolerance pathways .#FaultTolerance #SurfaceCode
quantum algorithms on real-world hardware. The researchers used a novel error-correction technique called #surfacecode, which allows them to correct errors in quantum information with high accuracy. This breakthrough could pave the way for the development of practical quantum
Now onto the possibilities of ring resonators and optical coupling #surfacecode #cqc2t2015
Lambda transitions might allow multiple pairwise interactions inside one cavity #surfacecode #cqc2t2015
@ lasersyriacum With minor augmentation the interference pattern can be made to look like a trollface #trippy #surfacecode
> need to be corrected when they affect measurement outcomes, and thus one merely needs to identify errors, and then correct any measurements that are affected by these errors. This can be done entirely in the classical system used to control the #SurfaceCode, as we describe in >
> qubits entangled in this way is used to define a logical qubit, which due to the entanglement and measurement has far better performance than the underlying physical qubits. We describe how logical qubits are constructed in the #SurfaceCode and also show how the complete set >
> including thorough analyses of #errors and their propagation [16,17] and the ongoing development of efficient classical control #software [18]. A number of authors are working on improving the classical processing associated with the #SurfaceCode [19–23], as well as other >
#FowlerMariantoniMartinisCleland-9 "The spatial extent of the circuit is determined in part by the number of computational logical qubits, which for this circuit is about 2𝑁=4000. A much larger part of the #SurfaceCode is needed, however, to generate and purify the >
#BravyiEnglbrechtKoenigPeard-2 "Surface codes are building blocks of #QuantumComputing platforms based on 2D arrays of qubits responsible for detecting and correcting errors. The error suppression achieved by the #SurfaceCode is usually estimated by simulating toy noise models >
#FowlerMariantoniMartinisCleland-11 "Further reduction of the #qubit[-]overhead can in principle be achieved by speeding up the #SurfaceCode operation. Faster operation means fewer qubits are needed to generate |A_L〉 states at the necessary rate. Note, however, that >
Quantum error detection code using a square lattice of four superconducting qubits rdcu.be/cGuo @NatureComms #SurfaceCode #open
Surface-code lattices on 2D superconducting qubit arrays implement real-time stabilizer measurements, demonstrating distance-3 logical qubit lifetimes .#SurfaceCode #Logical
Quantum benchmark challenge: 50 logical qubits demonstrated via surface-code prototypes in national lab facilities, validating fault-tolerance pathways .#FaultTolerance #SurfaceCode
Quantum error-correction research focuses on surface codes implemented on cross-resonance gates, achieving logical error rates below 1% in lab tests. #SurfaceCode #ErrorCorrection
RESCUED: Robust Quantum Error Correction with Surface Code in Noisy Channels using Ensemble Decoder linkedin.com/posts/saikat-b… #QuantumComputing #QuantumErrorCorrection #SurfaceCode #EnsembleDecoder #QuantumCommunication #NoiseRobustness #QuantumTechnology
quantum algorithms on real-world hardware. The researchers used a novel error-correction technique called #surfacecode, which allows them to correct errors in quantum information with high accuracy. This breakthrough could pave the way for the development of practical quantum
#Quantumerrorcorrection allows to correct for arbitrary quantum noise. But common codes such as the #surfacecode are best suited to iid unbiased noise. In this work, we tailor the surface code to non-independent and non-identically distributed errors. scirate.com/arxiv/2208.021…
> qubits n. For the #SurfaceCode, Darmawan and Poulin^{28,29} proposed an algorithm with a runtime exponential in n^{1/2} based on tensor networks, and simulated systems with up to 153 qubits. This algorithm can handle arbitrary noise (including, e.g., amplitude damping). >
> need to be corrected when they affect measurement outcomes, and thus one merely needs to identify errors, and then correct any measurements that are affected by these errors. This can be done entirely in the classical system used to control the #SurfaceCode, as we describe in >
> qubits entangled in this way is used to define a logical qubit, which due to the entanglement and measurement has far better performance than the underlying physical qubits. We describe how logical qubits are constructed in the #SurfaceCode and also show how the complete set >
#FowlerMariantoniMartinisCleland-11 "Further reduction of the #qubit[-]overhead can in principle be achieved by speeding up the #SurfaceCode operation. Faster operation means fewer qubits are needed to generate |A_L〉 states at the necessary rate. Note, however, that >
#FowlerMariantoniMartinisCleland-9 "The spatial extent of the circuit is determined in part by the number of computational logical qubits, which for this circuit is about 2𝑁=4000. A much larger part of the #SurfaceCode is needed, however, to generate and purify the >
> including thorough analyses of #errors and their propagation [16,17] and the ongoing development of efficient classical control #software [18]. A number of authors are working on improving the classical processing associated with the #SurfaceCode [19–23], as well as other >
#BravyiEnglbrechtKoenigPeard-2 "Surface codes are building blocks of #QuantumComputing platforms based on 2D arrays of qubits responsible for detecting and correcting errors. The error suppression achieved by the #SurfaceCode is usually estimated by simulating toy noise models >
Our paper on Repeated #Quantum #ErrorDetection in a #SurfaceCode is out in @NaturePhysics today. Check out the proud @ETH_physics @ETH_en first author presenting the setup, sample mount and chip in the photographs below. nature.com/articles/s4156…
@ lasersyriacum With minor augmentation the interference pattern can be made to look like a trollface #trippy #surfacecode
Quantum error detection code using a square lattice of four superconducting qubits rdcu.be/cGuo @NatureComms #SurfaceCode #open
#Quantumerrorcorrection allows to correct for arbitrary quantum noise. But common codes such as the #surfacecode are best suited to iid unbiased noise. In this work, we tailor the surface code to non-independent and non-identically distributed errors. scirate.com/arxiv/2208.021…
Our paper on Repeated #Quantum #ErrorDetection in a #SurfaceCode is out in @NaturePhysics today. Check out the proud @ETH_physics @ETH_en first author presenting the setup, sample mount and chip in the photographs below. nature.com/articles/s4156…
> qubits n. For the #SurfaceCode, Darmawan and Poulin^{28,29} proposed an algorithm with a runtime exponential in n^{1/2} based on tensor networks, and simulated systems with up to 153 qubits. This algorithm can handle arbitrary noise (including, e.g., amplitude damping). >
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