Daniel A. Lidar

According to our database, Daniel A. Lidar authored at least 22 papers between 1998 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Charged particle tracking with quantum annealing optimization.

Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant, Javier M. Duarte, Joshua Job, Daniel A. Lidar, Maria Spiropulu

Quantum Mach. Intell., 2021

Quantum processor-inspired machine learning in the biomedical sciences.

Richard Y. Li, Sharvari Gujja, Sweta R. Bajaj, Omar E. Gamel, Nicholas Cilfone, Jeffrey R. Gulcher, Daniel A. Lidar, Thomas W. Chittenden

Patterns, 2021

2020

Completely positive master equation for arbitrary driving and small level spacing.

Evgeny Mozgunov, Daniel A. Lidar

Quantum, 2020

2019

Quantum adiabatic machine learning with zooming.

Alexander Zlokapa, Alex Mott, Joshua Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu

CoRR, 2019

Charged particle tracking with quantum annealing-inspired optimization.

Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant, Javier M. Duarte, Joshua Job, Daniel A. Lidar, Maria Spiropulu

CoRR, 2019

2018

Exploring More-Coherent Quantum Annealing.

Sergey Novikov, Robert Hinkey, Steven Disseler, James I. Basham, Tameem Albash, Andrew Risinger, David Ferguson, Daniel A. Lidar, Kenneth M. Zick

Proceedings of the 2018 IEEE International Conference on Rebooting Computing, 2018

2017

Evolution prediction from tomography.

Jason M. Dominy, Lorenzo Campos Venuti, Alireza Shabani, Daniel A. Lidar

Quantum Inf. Process., 2017

Solving a Higgs optimization problem with quantum annealing for machine learning.

Alex Mott, Joshua Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu

Nat., 2017

2016

Performance of two different quantum annealing correction codes.

Anurag Mishra, Tameem Albash, Daniel A. Lidar

Quantum Inf. Process., 2016

A general framework for complete positivity.

Jason M. Dominy, Alireza Shabani, Daniel A. Lidar

Quantum Inf. Process., 2016

Beyond complete positivity.

Jason M. Dominy, Daniel A. Lidar

Quantum Inf. Process., 2016

2013

Quantum adiabatic machine learning.

Kristen L. Pudenz, Daniel A. Lidar

Quantum Inf. Process., 2013

2010

Channel-optimized quantum error correction.

Soraya Taghavi, Robert L. Kosut, Daniel A. Lidar

IEEE Trans. Inf. Theory, 2010

2009

Quantum error correction via convex optimization.

Robert L. Kosut, Daniel A. Lidar

Quantum Inf. Process., 2009

2006

Quantum Malware.

Lian-Ao Wu, Daniel A. Lidar

Quantum Inf. Process., 2006

2005

Stabilizing qubit coherence via tracking-control.

Daniel A. Lidar, Sara Schneider

Quantum Inf. Comput., 2005

Editorial: quantum information and quantum control.

Paul Brumer, Daniel A. Lidar, Hoi-Kwong Lo, Aephraim Steinberg

Quantum Inf. Comput., 2005

2004

Consistency of the Adiabatic Theorem.

Marcelo S. Sarandy, Lian-Ao Wu, Daniel A. Lidar

Quantum Inf. Process., 2004

2003

Dreams Versus Reality: Plenary Debate Session on Quantum Computing.

Derek Abbott, Charles R. Doering, Carlton M. Caves, Daniel M. Lidar, Howard E. Brandt, Alex R. Hamilton, David K. Ferry, Julio Gea-Banacloche, Sergey M. Bezrukov, Laszlo B. Kish

Quantum Inf. Process., 2003

2002

Quantum Codes for Simplifying Design and Suppressing Decoherence in Superconducting Phase-Qubits.

Daniel A. Lidar, Lian-Ao Wu, Alexandre Blais

Quantum Inf. Process., 2002

Bang-Bang Operations from a Geometric Perspective.

Mark S. Byrd, Daniel A. Lidar

Quantum Inf. Process., 2002

1998

Generalized Grover Search Algorithm for Arbitrary Initial Amplitude Distribution.

David Biron, Ofer Biham, Eli Biham, Markus Grassl, Daniel A. Lidar

Proceedings of the Quantum Computing and Quantum Communications, 1998