Daniel A. Lidar

Publication Activity (10 Years)

Years Active: 1998-2021
Publications (10 Years): 12

Top Topics

Machine Learning And Data Mining

Machine Learning

Quantum Computation

Optimization Process

Top Venues

Quantum Inf. Process.

Quantum Mach. Intell.

Publications

Richard Y. Li, Sharvari Gujja, Sweta R. Bajaj, Omar E. Gamel, Nicholas Cilfone, Jeffrey R. Gulcher, Daniel A. Lidar, Thomas W. Chittenden
Quantum processor-inspired machine learning in the biomedical sciences. Patterns 2 (6) (2021)
Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant, Javier M. Duarte, Joshua Job, Daniel A. Lidar, Maria Spiropulu
Charged particle tracking with quantum annealing optimization. Quantum Mach. Intell. 3 (2) (2021)
Evgeny Mozgunov, Daniel A. Lidar
Completely positive master equation for arbitrary driving and small level spacing. Quantum 4 (2020)
Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant, Javier M. Duarte, Joshua Job, Daniel A. Lidar, Maria Spiropulu
Charged particle tracking with quantum annealing-inspired optimization. CoRR (2019)
Alexander Zlokapa, Alex Mott, Joshua Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu
Quantum adiabatic machine learning with zooming. CoRR (2019)
Sergey Novikov, Robert Hinkey, Steven Disseler, James I. Basham, Tameem Albash, Andrew Risinger, David Ferguson, Daniel A. Lidar, Kenneth M. Zick
Exploring More-Coherent Quantum Annealing. ICRC (2018)
Sergey Novikov, Robert Hinkey, Steven Disseler, James I. Basham, Tameem Albash, Andrew Risinger, David Ferguson, Daniel A. Lidar, Kenneth M. Zick
Exploring More-Coherent Quantum Annealing. CoRR (2018)
Jason M. Dominy, Lorenzo Campos Venuti, Alireza Shabani, Daniel A. Lidar
Evolution prediction from tomography. Quantum Inf. Process. 16 (3) (2017)
Alex Mott, Joshua Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu
Solving a Higgs optimization problem with quantum annealing for machine learning. Nat. 550 (7676) (2017)
Jason M. Dominy, Daniel A. Lidar
Beyond complete positivity. Quantum Inf. Process. 15 (4) (2016)
Jason M. Dominy, Alireza Shabani, Daniel A. Lidar
A general framework for complete positivity. Quantum Inf. Process. 15 (1) (2016)
Anurag Mishra, Tameem Albash, Daniel A. Lidar
Performance of two different quantum annealing correction codes. Quantum Inf. Process. 15 (2) (2016)
Kristen L. Pudenz, Daniel A. Lidar
Quantum adiabatic machine learning. Quantum Inf. Process. 12 (5) (2013)
Kristen L. Pudenz, Daniel A. Lidar
Quantum adiabatic machine learning CoRR (2011)
Soraya Taghavi, Robert L. Kosut, Daniel A. Lidar
Channel-optimized quantum error correction. IEEE Trans. Inf. Theory 56 (3) (2010)
Robert L. Kosut, Daniel A. Lidar
Quantum error correction via convex optimization. Quantum Inf. Process. 8 (5) (2009)
Lian-Ao Wu, Daniel A. Lidar
Quantum Malware. Quantum Inf. Process. 5 (2) (2006)
Daniel A. Lidar, Sara Schneider
Stabilizing qubit coherence via tracking-control. Quantum Inf. Comput. 5 (4) (2005)
Paul Brumer, Daniel A. Lidar, Hoi-Kwong Lo, Aephraim Steinberg
Editorial: quantum information and quantum control. Quantum Inf. Comput. 5 (4) (2005)
Marcelo S. Sarandy, Lian-Ao Wu, Daniel A. Lidar
Consistency of the Adiabatic Theorem. Quantum Inf. Process. 3 (6) (2004)
Mark S. Byrd, Daniel A. Lidar
Bang-Bang Operations from a Geometric Perspective. Quantum Inf. Process. 1 (1-2) (2002)
Daniel A. Lidar, Lian-Ao Wu, Alexandre Blais
Quantum Codes for Simplifying Design and Suppressing Decoherence in Superconducting Phase-Qubits. Quantum Inf. Process. 1 (3) (2002)
David Biron, Ofer Biham, Eli Biham, Markus Grassl, Daniel A. Lidar
Generalized Grover Search Algorithm for Arbitrary Initial Amplitude Distribution. QCQC (1998)