A Transmon Quantum Annealer: Decomposing Many-Body Ising Constraints Into Pair Interactions

TL;DR

This paper presents a Transmon-based quantum annealer that implements a tailored Ising interaction to efficiently encode many-body constraints, advancing analog quantum optimization techniques.

Contribution

It introduces a novel implementation of a parity annealer using Transmon qubits with engineered Ising interactions from Josephson ring modulators.

Findings

Demonstrates a Transmon-based quantum annealer for many-body Ising problems.

Shows tailored Ising interactions can encode complex constraints.

Advances the hardware implementation of adiabatic quantum computing.

Abstract

Adiabatic quantum computing is an analog quantum computing scheme with various applications in solving optimization problems. In the parity picture of quantum optimization, the problem is encoded in local fields that act on qubits which are connected via local 4-body terms. We present an implementation of a parity annealer with Transmon qubits with a specifically tailored Ising interaction from Josephson ring modulators.