Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Stefan Seritan, Timothy Proctor, Kenneth Rudinger, Noah Goss | Summary: Contemporary methods for benchmarking noisy quantum processors typically measure average error rates or process infidelities. However, thresholds for fault-tolerant quantum error correction are given in terms of worst-case error rates — defined via the diamond […]
Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Stefan Seritan, Timothy Proctor, Kenneth Rudinger, Noah Goss | Summary: Contemporary methods for benchmarking noisy quantum processors typically measure average error rates or process infidelities. However, thresholds for fault-tolerant quantum error correction are given in terms of worst-case error rates — defined via the diamond […]
Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Stefan Seritan, Timothy Proctor, Kenneth Rudinger, Noah Goss | Summary: The promise of quantum computing depends upon the eventual achievement of fault-tolerant quantum error correction, which requires that the total rate of errors falls below some threshold. However, most contemporary methods for benchmarking noisy quantum […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Shan Hu, Zimo Sheng, , | Summary: The densest subgraph problem (DSG) aiming at finding an induced subgraph such that the average edge-weights of the subgraph is maximized, is a well-studied problem. However, when the input graph is a hypergraph, the existing notion of DSG […]
Kavli Affiliate: Wei Gao | First 5 Authors: Runmin Cong, Haowei Yang, Qiuping Jiang, Wei Gao, Haisheng Li | Summary: The spread of COVID-19 has brought a huge disaster to the world, and the automatic segmentation of infection regions can help doctors to make diagnosis quickly and reduce workload. However, there are several challenges for […]
Kavli Affiliate: Jia Liu | First 5 Authors: Menglu Yu, Bo Ji, Hridesh Rajan, Jia Liu, | Summary: Powered by advances in deep learning (DL) techniques, machine learning and artificial intelligence have achieved astonishing successes. However, the rapidly growing needs for DL also led to communication- and resource-intensive distributed training jobs for large-scale DL training, […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe | Summary: Federated learning has emerged as a privacy-preserving machine learning approach where multiple parties can train a single model without sharing their raw training data. Federated learning typically requires the utilization of multi-party computation techniques to […]
Kavli Affiliate: John Reynolds, Kenneth Miller | Authors: Alessandro Sanzeni, Agostina Palmigiano, Tuan H Nguyen, Junxiang Luo, Jonathan J Nassi, John H Reynolds, Mark H Histed, Kenneth D Miller and Nicolas Brunel | Summary: The ability to observe the response of neural circuits to controlled optogenetic perturbations opens an unprecedented window into the mechanisms governing […]
Kavli Affiliate: Biao Huang | First 5 Authors: Jianwei Lin, Jiatai Lin, Cheng Lu, Hao Chen, Huan Lin | Summary: Brain tumor segmentation (BTS) in magnetic resonance image (MRI) is crucial for brain tumor diagnosis, cancer management and research purposes. With the great success of the ten-year BraTS challenges as well as the advances of […]
Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Jordan Hines, Marie Lu, Ravi K. Naik, Akel Hashim, Jean-Loup Ville | Summary: Randomized benchmarking (RB) protocols are the most widely used methods for assessing the performance of quantum gates. However, the existing RB methods either do not scale to many qubits or cannot benchmark a universal […]