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| Daniel Lidar | |
|---|---|
| Name | Daniel Lidar |
| Birth date | 1968 |
| Birth place | Haifa, Israel |
| Fields | Physics, Computer science, Electrical engineering |
| Workplaces | University of Southern California, NASA, D-Wave Systems, Oak Ridge National Laboratory |
| Alma mater | Hebrew University of Jerusalem, Massachusetts Institute of Technology |
| Doctoral advisor | Isaac Chuang |
Daniel Lidar is an Israeli-American physicist and computer scientist known for contributions to quantum computing, quantum information theory, and quantum error correction. He has held positions in academia and industry, and has worked on topics spanning adiabatic quantum computation, decoherence-free subspaces, and applications of quantum annealing to optimization problems. He is recognized for both theoretical results and experimental collaborations involving superconducting qubits and quantum annealers.
Born in Haifa, Israel, he completed undergraduate and graduate studies at the Hebrew University of Jerusalem and pursued a Ph.D. at the Massachusetts Institute of Technology under advisors associated with quantum optics and quantum computing research groups. During his doctoral and postdoctoral periods he collaborated with researchers from institutions such as IBM Research, Bell Labs, Los Alamos National Laboratory, and MIT Lincoln Laboratory. His formative training connected him with themes explored by scholars like Peter Shor, Charles Bennett, Gilles Brassard, Lov Grover, and Eugene Wigner.
He has held faculty appointments at the University of Southern California Viterbi School of Engineering and interacted with departments including Physics, Electrical Engineering, and Computer Science. His career includes visiting positions and collaborations with laboratories and centers such as Caltech, Stanford University, Harvard University, Princeton University, and UC Berkeley. He has engaged with national laboratories including Sandia National Laboratories, Argonne National Laboratory, and Oak Ridge National Laboratory, and with companies including D-Wave Systems and start-ups spun out of university research. He has supervised doctoral students who went on to positions at places like Google, Microsoft Research, IBM, and national research institutes.
His work on decoherence and decoherence-free subspaces built on foundations laid by Wojciech Zurek and Giulio Casati, influencing quantum error correction research alongside figures such as Peter Shor and Andrew Steane. He co-developed methods in dynamical decoupling and noise suppression related to techniques employed by teams at MIT, Harvard, and Yale University for superconducting qubits and trapped ion platforms. In adiabatic quantum computation and quantum annealing his studies intersect with the work of Tadashi Kadowaki, Hidetoshi Nishimori, and engineers from D-Wave Systems, addressing performance comparisons with classical algorithms like simulated annealing and heuristic methods used in machine learning research at Carnegie Mellon University and University of Toronto. He has published on theoretical models of open quantum systems connecting to approaches from Gordon Baym-era many-body theory and to experimental efforts at NIST and JILA. His cross-disciplinary output links to applications in optimization theory, materials science, and computational chemistry explored at institutions such as Lawrence Berkeley National Laboratory and Argonne National Laboratory.
He has received recognition from academic and professional organizations including societies like the American Physical Society, the Institute of Electrical and Electronics Engineers, and funding agencies such as the National Science Foundation and the Defense Advanced Research Projects Agency. His honors reference contributions to quantum information science alongside laureates from prizes and fellowships historically awarded to researchers like John Preskill, Michael Nielsen, Lov Grover, and Alexei Kitaev.
He is author or coauthor of papers in journals and conference proceedings alongside collaborators affiliated with Physical Review Letters, Nature, Science Advances, and IEEE venues. Representative topics include papers on decoherence-free subspaces and quantum error correction that cite conceptual predecessors such as Shor's algorithm and Steane code, studies of adiabatic quantum computing benchmarking related to simulated annealing and spin glass models inspired by work of Kirkpatrick and Young, and analyses of noise mitigation techniques paralleling research at IBM Quantum and Google Quantum AI.
He has participated in interdisciplinary initiatives linking universities, national laboratories, and industry consortia, interacting with researchers from Los Alamos National Laboratory, Sandia National Laboratories, NASA, and international centers such as CERN. Outside research he has engaged in academic service roles and editorial activities associated with publishing outlets and conferences attended by contributors from SIAM, IEEE, ACM, and the American Physical Society.
Category:Living people Category:Israeli physicists Category:Quantum computing researchers