Quantum information processing Though still in its infancy, quantum information science is a rapidly advancing field of endeavor. Our areas of interest include fundamental questions in entanglement, nonlocality and macroscopic quantum coherence. Present research is directed towards (a) solid-state, superconducting nanoelectronics as a potential candidate for scalable quantum computing, and (b) the application of adaptive quantum networks to associative processing, pattern recognition and unstructured learning tasks. Adaptive Quantum Networks Quantum learning architectures have been suggested to offer new domains for application of novel quantum algorithms: machine learning-inspired architectures are self-organizing, robust under permutation, and ideal for such tasks as pattern recognition and associative processing. In International Journal of Theoretical Physics Vol. 43, No. 10 (2004) we introduced a new framework for superposed, adaptive quantum networks, with considerations for high-dimensional, dissipative quantum systems in both quantum computation and in molecular biology. Accelerated training convergence garnered by quantum neural networks under pattern recognition tasks was demonstrated at NATO ASI (2007). Backpropagation error reconfiguration was incorporated at IQSA (2008).  Superconducting Nanoelectronics Nanoscale electronics is a rich and interdisciplinary field of investigation. Josephson junctions are a promising candidate for scalable quantum computation – these systems are uniquely positioned at the borders of quantum and classical regimes, have well-characterized classical dynamics, and have been systematically investigated for evidence of macroscopic quantum coherence, entanglement and superposition. Future high-performance supercomputing approaches hold the potential to incorporate Josephson junction-based, flux qubit core processors into superconducting digital electronics – such as rapid single flux quantum logic (RSFQ) descendents of the hybrid technology, multithreaded (HTMT) architecture. My experimental research objectives are to investigate the dynamic properties of coherence, control and coupling in these nanoscale junctions to assess systems viability for development, scale-up and integration into high performance, national priority computing applications. National assessments, external links, representative publications US Superconducting Technology Assessment Acrobat PDF Superconducting Quantum Computing – Status and Prospects Acrobat PDF   Quantum Nanocircuits – Chips of the Future? P. Hadley and J. E. Mooij   Accelerated training convergence in superposed quantum networks NATO Advanced Research Workshop, Villa Cagnola, Italy C. Altman, E. Knorring, R. Zapatrin     Superpositional Quantum Network Topologies International Journal of Theoretical Physics C. Altman, J. Pykacz, R. Zapatrin     Quantum State Engineering with the rf SQUID NATO Advanced Research Workshop on Quantum Chaos C. Altman   Kavli Institute of Nanoscience, Delft     NSEC Nanoscale Science and Engineering Center     ARDA Roadmap on Quantum Information Science   DARPA QUIST Project   UNESCO Physics for Tomorrow, Paris   UCSD – Quantum Learning Seminar, David Meyer     NATO Advanced Research Workshop on Quantum Chaos     NSF Workshop on Coding Theory and Quantum Computing   MIT Lincoln Laboratory   Tinkham Research – Superconductivity Group   Rochester Group in Superconducting Digital Electronics   Orlando Superconducting Circuits Group   Institute for Quantum Information at Caltech   Mabuchi Quantum Optics and Biophysics Group