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@BOOK{LaPierre:642872,
      author       = {LaPierre, Ray},
      title        = {{I}ntroduction to quantum computing; {S}econd edition},
      address      = {Cham},
      publisher    = {Springer Nature},
      reportid     = {PUBDB-2025-05678},
      isbn         = {9783031907302},
      series       = {The Materials Research Society series},
      pages        = {xx, 386 pages : illustrations},
      year         = {2026},
      abstract     = {This book, now in an expanded second edition, provides a
                      self-contained undergraduate course on quantum computing
                      based on classroom-tested lecture notes. It reviews the
                      fundamentals of quantum mechanics from the double-slit
                      experiment to entanglement, before progressing to the basics
                      of qubits, quantum gates, quantum circuits, quantum key
                      distribution, and some of the famous quantum algorithms. As
                      well as covering quantum gates in depth, it also describes
                      promising platforms for their physical implementation, along
                      with error correction, and topological quantum computing.
                      With quantum computing expanding rapidly in the private
                      sector, understanding quantum computing has never been so
                      important for graduates entering the workplace or PhD
                      programs. Assuming minimal background knowledge, this book
                      is highly accessible, with rigorous step-by-step
                      explanations of the principles behind quantum computation,
                      further reading, and exercises, ensuring that undergraduate
                      students in physics and engineering emerge well prepared for
                      the future. This edition contains new material on quantum
                      metrology, random circuit sampling, electric dipole spin
                      resonance, dilution refrigeration, photon detection, boson
                      sampling, and continuous variable quantum computing. It also
                      features around 50 new exercises, and lecture slides for
                      course instructors},
      ddc          = {006.3843},
      typ          = {PUB:(DE-HGF)3},
      url          = {https://bib-pubdb1.desy.de/record/642872},
}