Quantum Brain
← Back to papers

Approximate quantum circuit synthesis using block encodings

Daan Camps, Roel Van Beeumen·July 2, 2020·DOI: 10.1103/PHYSREVA.102.052411
Physics

AI Breakdown

Get a structured breakdown of this paper — what it's about, the core idea, and key takeaways for the field.

Abstract

Author(s): Camps, Daan; Beeumen, Roel Van | Abstract: One of the challenges in quantum computing is the synthesis of unitary operators into quantum circuits with polylogarithmic gate complexity. Exact synthesis of generic unitaries requires an exponential number of gates in general. We propose a novel approximate quantum circuit synthesis technique by relaxing the unitary constraints and interchanging them for ancilla qubits via block-encodings. This approach combines smaller block-encodings, which are easier to synthesize, into quantum circuits for larger operators. Due to the use of block-encodings, our technique is not limited to unitary operators and can also be applied for the synthesis of arbitrary operators. We show that operators which can be approximated by a canonical polyadic expression can be synthesized with polylogarithmic gate complexity under certain assumptions.

Related Research

Quantum Intelligence

Ask about quantum research, companies, or market developments.