Automated Quantum Memory Compilation with Improved Dynamic Range

TL;DR

This paper introduces an improved method for quantum memory compilation that enhances dynamic range and precision in data encoding, with experimental comparisons of different encoding approaches for quantum read-only memory circuits.

Contribution

The work presents a novel data encoding approach for QROM circuits that offers better dynamic range and precision compared to existing methods.

Findings

The new encoding method improves dynamic range and precision.

Experimental results compare three data encoding approaches.

The approach enhances quantum data storage capabilities.

Abstract

Emerging quantum algorithms that process data require that classical input data be represented as a quantum state. These data-processing algorithms often follow the gate model of quantum computing--which requires qubits to be initialized to a basis state, typically $\lvert 0 \rangle$--and thus often employ state generation circuits to transform the initialized basis state to a data-representation state. There are many ways to encode classical data in a qubit, and the oft-applied approach of basis encoding does not allow optimization to the extent that other variants do. In this work, we thus consider automatic synthesis of addressable, quantum read-only memory (QROM) circuits, which act as data-encoding state-generation circuits. We investigate three data encoding approaches, one of which we introduce to provide improved dynamic range and precision. We present experimental results that compare these encoding methods for QROM synthesis to better understand the implications of and applications for each.