Picture for Isaac L. Chuang

Isaac L. Chuang

Toward Mixed Analog-Digital Quantum Signal Processing: Quantum AD/DA Conversion and the Fourier Transform

Add code
Aug 27, 2024
Viaarxiv icon

Single-shot Quantum Signal Processing Interferometry

Add code
Nov 22, 2023
Viaarxiv icon

Pareto-optimal clustering with the primal deterministic information bottleneck

Add code
Apr 05, 2022
Figure 1 for Pareto-optimal clustering with the primal deterministic information bottleneck
Figure 2 for Pareto-optimal clustering with the primal deterministic information bottleneck
Figure 3 for Pareto-optimal clustering with the primal deterministic information bottleneck
Figure 4 for Pareto-optimal clustering with the primal deterministic information bottleneck
Viaarxiv icon

Biological error correction codes generate fault-tolerant neural networks

Add code
Feb 25, 2022
Figure 1 for Biological error correction codes generate fault-tolerant neural networks
Figure 2 for Biological error correction codes generate fault-tolerant neural networks
Figure 3 for Biological error correction codes generate fault-tolerant neural networks
Figure 4 for Biological error correction codes generate fault-tolerant neural networks
Viaarxiv icon

Active Learning of Quantum System Hamiltonians yields Query Advantage

Add code
Dec 29, 2021
Figure 1 for Active Learning of Quantum System Hamiltonians yields Query Advantage
Figure 2 for Active Learning of Quantum System Hamiltonians yields Query Advantage
Figure 3 for Active Learning of Quantum System Hamiltonians yields Query Advantage
Figure 4 for Active Learning of Quantum System Hamiltonians yields Query Advantage
Viaarxiv icon

Confident Learning: Estimating Uncertainty in Dataset Labels

Add code
Oct 31, 2019
Figure 1 for Confident Learning: Estimating Uncertainty in Dataset Labels
Figure 2 for Confident Learning: Estimating Uncertainty in Dataset Labels
Figure 3 for Confident Learning: Estimating Uncertainty in Dataset Labels
Figure 4 for Confident Learning: Estimating Uncertainty in Dataset Labels
Viaarxiv icon

Learnability for the Information Bottleneck

Add code
Jul 17, 2019
Figure 1 for Learnability for the Information Bottleneck
Figure 2 for Learnability for the Information Bottleneck
Figure 3 for Learnability for the Information Bottleneck
Figure 4 for Learnability for the Information Bottleneck
Viaarxiv icon

Meta-learning autoencoders for few-shot prediction

Add code
Jul 26, 2018
Figure 1 for Meta-learning autoencoders for few-shot prediction
Figure 2 for Meta-learning autoencoders for few-shot prediction
Figure 3 for Meta-learning autoencoders for few-shot prediction
Figure 4 for Meta-learning autoencoders for few-shot prediction
Viaarxiv icon

Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels

Add code
Aug 09, 2017
Figure 1 for Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels
Figure 2 for Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels
Figure 3 for Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels
Figure 4 for Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels
Viaarxiv icon