Daniel A. Lidar

26 papers Journal 24Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Beyond unital noise in variational quantum algorithms: noise-induced barren plateaus and limit sets.
Quantum
Phattharaporn Singkanipa, Daniel A. Lidar
2025 J jnl
Families of d=2 2D subsystem stabilizer codes for universal Hamiltonian quantum computation with two-body interactions.
Quantum
Phattharaporn Singkanipa, Zihan Xia, Daniel A. Lidar
2024 J jnl
ClassiFIM: An Unsupervised Method To Detect Phase Transitions.
CoRR
Victor Kasatkin, Evgeny Mozgunov, Nicholas Ezzell, Utkarsh Mishra, Itay Hen, Daniel A. Lidar
2021 J jnl
Charged particle tracking with quantum annealing optimization.
Quantum Mach. Intell.
Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant, Javier M. Duarte, Joshua A. Job, Daniel A. Lidar, Maria Spiropulu
2021 J jnl
Quantum processor-inspired machine learning in the biomedical sciences.
Patterns
Richard Y. Li, Sharvari Gujja, Sweta R. Bajaj, Omar E. Gamel, Nicholas Cilfone, Jeffrey R. Gulcher, Daniel A. Lidar, Thomas W. Chittenden
2020 J jnl
Completely positive master equation for arbitrary driving and small level spacing.
Quantum
Evgeny Mozgunov, Daniel A. Lidar
2019 J jnl
Charged particle tracking with quantum annealing-inspired optimization.
CoRR
Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant, Javier M. Duarte, Joshua A. Job, Daniel A. Lidar, Maria Spiropulu
2019 J jnl
Quantum adiabatic machine learning with zooming.
CoRR
Alexander Zlokapa, Alex Mott, Joshua A. Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu
2018 — conf
Exploring More-Coherent Quantum Annealing.
ICRC
Sergey Novikov, Robert Hinkey, Steven Disseler, James I. Basham, Tameem Albash, Andrew Risinger, David Ferguson, Daniel A. Lidar, Kenneth M. Zick
2018 J jnl
Exploring More-Coherent Quantum Annealing.
CoRR
Sergey Novikov, Robert Hinkey, Steven Disseler, James I. Basham, Tameem Albash, Andrew Risinger, David Ferguson, Daniel A. Lidar, Kenneth M. Zick
2017 J jnl
Evolution prediction from tomography.
Quantum Inf. Process.
Jason M. Dominy, Lorenzo Campos Venuti, Alireza Shabani, Daniel A. Lidar
2017 J jnl
Solving a Higgs optimization problem with quantum annealing for machine learning.
Nat.
Alex Mott, Joshua A. Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu
2016 J jnl
A general framework for complete positivity.
Quantum Inf. Process.
Jason M. Dominy, Alireza Shabani, Daniel A. Lidar
2016 J jnl
Beyond complete positivity.
Quantum Inf. Process.
Jason M. Dominy, Daniel A. Lidar
2016 J jnl
Performance of two different quantum annealing correction codes.
Quantum Inf. Process.
Anurag Mishra, Tameem Albash, Daniel A. Lidar
2013 J jnl
Quantum adiabatic machine learning.
Quantum Inf. Process.
Kristen L. Pudenz, Daniel A. Lidar
2011 J jnl
Quantum adiabatic machine learning
CoRR
Kristen L. Pudenz, Daniel A. Lidar
2010 J jnl
Channel-optimized quantum error correction.
IEEE Trans. Inf. Theory
Soraya Taghavi, Robert L. Kosut, Daniel A. Lidar
2009 J jnl
Quantum error correction via convex optimization.
Quantum Inf. Process.
Robert L. Kosut, Daniel A. Lidar
2006 J jnl
Quantum Malware.
Quantum Inf. Process.
Lian-Ao Wu, Daniel A. Lidar
2005 J jnl
Editorial: quantum information and quantum control.
Quantum Inf. Comput.
Paul Brumer, Daniel A. Lidar, Hoi-Kwong Lo, Aephraim Steinberg
2005 J jnl
Stabilizing qubit coherence via tracking-control.
Quantum Inf. Comput.
Daniel A. Lidar, Sara Schneider
2004 J jnl
Consistency of the Adiabatic Theorem.
Quantum Inf. Process.
Marcelo S. Sarandy, Lian-Ao Wu, Daniel A. Lidar
2002 J jnl
Bang-Bang Operations from a Geometric Perspective.
Quantum Inf. Process.
Mark S. Byrd, Daniel A. Lidar
2002 J jnl
Quantum Codes for Simplifying Design and Suppressing Decoherence in Superconducting Phase-Qubits.
Quantum Inf. Process.
Daniel A. Lidar, Lian-Ao Wu, Alexandre Blais
1998 — conf
Generalized Grover Search Algorithm for Arbitrary Initial Amplitude Distribution.
QCQC
David Biron, Ofer Biham, Eli Biham, Markus Grassl, Daniel A. Lidar