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[00561] Quantum-parallel vectorized data encodings and computations on trapped-ions and transmons QPUs

  • Session Time & Room : 4E (Aug.24, 17:40-19:20) @E711
  • Type : Contributed Talk
  • Abstract : We introduce new quantum data representations derived from uniformly controlled rotation gates. QCrank encodes a sequence of real-valued data as rotations of the data qubits allowing for high storage density. QBArt directly embeds a binary representation in the computational basis and requires a lower number of quantum measurements. We demonstrate quantum algorithms for DNA pattern matching, Hamming weight calculation, complex value conjugation, and O(400) bits image retrieving executed on Quantiunuum, IBMQ, and IonQ QPUs.
  • Classification : 68Q12, 81P68, 81P45, 81P16, Quantum encoding and computation on NISQ QPUs
  • Format : Talk at Waseda University
  • Author(s) :
    • Jan Balewski (National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory)
    • Mercy G. Amankwah (Case Western Reserve University, Cleveland)
    • Roel Van Beeumen (Applied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory)
    • E. Wes Bethel (Computer Science Department, San Francisco State University)
    • Talita Perciano (Scientific Data Division, Lawrence Berkeley National Laboratory)
    • Daan Camps (National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory)