[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.