  We present QCAM, a quantum analogue of Content-Addressable Memory (CAM),
useful for finding matches in two sequences of bit-strings. Our QCAM
implementation takes advantage of Grover's search algorithm and proposes a
highly-optimized quantum circuit implementation of the QCAM oracle. Our circuit
construction uses the parallel uniformly controlled rotation gates, which were
used in previous work to generate QBArt encodings. These circuits have a high
degree of quantum parallelism which reduces their critical depth. The optimal
number of repetitions of the Grover iterator used in QCAM depends on the number
of true matches and hence is input dependent. We additionally propose a
hardware-efficient implementation of the quantum counting algorithm (HEQC) that
can infer the optimal number of Grover iterations from the measurement of a
single observable. We demonstrate the QCAM application for computing the
Jaccard similarity between two sets of k-mers obtained from two DNA sequences.
