Results 191 to 200 of about 222,230 (325)

Perfect quantum error correction coding in 24 laser pulses

, 1996
Samuel L. Braunstein, Smolin, John A.
openalex   +2 more sources

Implementation of a three-qubit quantum error-correction code in a cavity-QED setup [PDF]

, 2010
Carlo Ottaviani, David Vitali
openalex   +1 more source

Quantum error correction below the surface code threshold. [PDF]

Nature
Google Quantum AI and Collaborators.
europepmc   +1 more source

Dynamic Concatenation of Quantum Error Correction in Integrated Quantum Computing Architecture. [PDF]

Sci Rep, 2019
Sohn I, Bang J, Heo J.
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Quantum Controlled Error-Correction Teleportation (QCECT) Scheme for Satellite Control and Communication [PDF]

, 2015
W. C. Thacker, Aakash Gupta
openalex   +1 more source

Targeting molecular quantum memory with embedded error correction. Open data set

, 2021
Selena J. Lockyer, Alessandro Chiesa, Grigore A. Timco, Eric J. L. McInnes, Tom S. Bennett, Íñigo J. Vitórica‐Yrezábal, Stefano Carretta, Richard E. P. Winpenny   +7 more
openalex   +1 more source

Hardware-efficient quantum error correction via concatenated bosonic qubits. [PDF]

Nature
Putterman H, Noh K, Hann CT, MacCabe GS, Aghaeimeibodi S, Patel RN, Lee M, Jones WM, Moradinejad H, Rodriguez R, Mahuli N, Rose J, Owens JC, Levine H, Rosenfeld E, Reinhold P, Moncelsi L, Alcid JA, Alidoust N, Arrangoiz-Arriola P, Barnett J, Bienias P, Carson HA, Chen C, Chen L, Chinkezian H, Chisholm EM, Chou MH, Clerk A, Clifford A, Cosmic R, Curiel AV, Davis E, DeLorenzo L, D'Ewart JM, Diky A, D'Souza N, Dumitrescu PT, Eisenmann S, Elkhouly E, Evenbly G, Fang MT, Fang Y, Fling MJ, Fon W, Garcia G, Gorshkov AV, Grant JA, Gray MJ, Grimberg S, Grimsmo AL, Haim A, Hand J, He Y, Hernandez M, Hover D, Hung JSC, Hunt M, Iverson J, Jarrige I, Jaskula JC, Jiang L, Kalaee M, Karabalin R, Karalekas PJ, Keller AJ, Khalajhedayati A, Kubica A, Lee H, Leroux C, Lieu S, Ly V, Madrigal KV, Marcaud G, McCabe G, Miles C, Milsted A, Minguzzi J, Mishra A, Mukherjee B, Naghiloo M, Oblepias E, Ortuno G, Pagdilao J, Pancotti N, Panduro A, Paquette JP, Park M, Peairs GA, Perello D, Peterson EC, Ponte S, Preskill J, Qiao J, Refael G, Resnick R, Retzker A, Reyna OA, Runyan M, Ryan CA, Sahmoud A, Sanchez E, Sanil R, Sankar K, Sato Y, Scaffidi T, Siavoshi S, Sivarajah P, Skogland T, Su CJ, Swenson LJ, Teo SM, Tomada A, Torlai G, Wollack EA, Ye Y, Zerrudo JA, Zhang K, Brandão FGSL, Matheny MH, Painter O.   +120 more
europepmc   +1 more source

Fabrication of High‐Density Multimodal Neural Probes Based on Heterogeneously Integrated CMOS

Advanced Science, EarlyView.
A chiplet‐based methodology democratizes active neural probe development on standard bulk CMOS services. This yields the first probe combining high‐density electrophysiology (416 electrodes) with calcium imaging (832 photodiodes) and complete on‐chip signal processing across 13 shanks.
Ju Hee Mun, Miji Kim, Wooyeon Shin, Yongjun Park, Kanghwan Kim, Il‐Joo Cho, Jae Won Shim, Min Soo Kim, Sunwoo Lee, Jeongjin Kim, Changhyuk Lee   +10 more
wiley   +1 more source

The SYK TENSOR Quantum Information Network (QIN): A Unified Theory of Everything via Chaotic Qubit Substrates and Holographic Error Correction

Stanley Preschutti
openalex   +1 more source