Max Hunter Gordon

According to our database, Max Hunter Gordon authored at least 10 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

The battle of clean and dirty qubits in the era of partial error correction.

Daniel Bultrini, Samson Wang, Piotr Czarnik, Max Hunter Gordon, Marco Cerezo, Patrick J. Coles, Lukasz Cincio

Quantum, July, 2023

Unifying and benchmarking state-of-the-art quantum error mitigation techniques.

Daniel Bultrini, Max Hunter Gordon, Piotr Czarnik, Andrew Arrasmith, Marco Cerezo, Patrick J. Coles, Lukasz Cincio

Quantum, June, 2023

Thermodynamic Computing System for AI Applications.

Denis Melanson, Mohammad Abu Khater, Maxwell Aifer, Kaelan Donatella, Max Hunter Gordon, Thomas Ahle, Gavin E. Crooks, Antonio J. Martinez, Faris M. Sbahi, Patrick J. Coles

CoRR, 2023

Exploiting Inductive Biases in Video Modeling through Neural CDEs.

Johnathan Chiu, Samuel Duffield, Max Hunter Gordon, Kaelan Donatella, Maxwell Aifer, Andi Gu

CoRR, 2023

Thermodynamic Linear Algebra.

Maxwell Aifer, Kaelan Donatella, Max Hunter Gordon, Thomas Ahle, Daniel Simpson, Gavin E. Crooks, Patrick J. Coles

CoRR, 2023

2022

Algebraic Bethe Circuits.

Alejandro Sopena, Max Hunter Gordon, Diego García-Martín, German Sierra, Esperanza Lopez

Quantum, September, 2022

Mitiq: A software package for error mitigation on noisy quantum computers.

Ryan LaRose, Andrea Mari, Sarah Kaiser, Peter J. Karalekas, Andre A. Alves, Piotr Czarnik, Mohamed El Mandouh, Max Hunter Gordon, Yousef Hindy, Aaron Robertson, Purva Thakre, Misty Wahl, Danny Samuel, Rahul Mistri, Maxime Tremblay, Nick Gardner, Nathaniel T. Stemen, Nathan Shammah, William J. Zeng

Quantum, 2022

Resource frugal optimizer for quantum machine learning.

Charles Moussa, Max Hunter Gordon, Michal Baczyk, Marco Cerezo, Lukasz Cincio, Patrick J. Coles

CoRR, 2022

Inference-Based Quantum Sensing.

Cinthia Huerta Alderete, Max Hunter Gordon, Frederic Sauvage, Akira Sone, Andrew T. Sornborger, Patrick J. Coles, Marco Cerezo

CoRR, 2022

Covariance matrix preparation for quantum principal component analysis.

Max Hunter Gordon, Marco Cerezo, Lukasz Cincio, Patrick J. Coles

CoRR, 2022