Multi-mode Cavity Centric Architectures for Quantum Simulation

TL;DR

This paper introduces MUCIC, a multi-mode superconducting resonator architecture that aligns well with quantum simulation needs, offering longer lifespans and significant circuit depth reductions, thereby advancing near-term quantum computing capabilities.

Contribution

The paper presents MUCIC, a novel multi-mode resonator architecture, and its transpiler, which significantly reduces circuit depth and improves variational algorithm results for quantum simulation.

Findings

Up to 82% reduction in quantum circuit depth.

Up to 19.4% improvement in variational algorithm convergence.

Longer lifespan of multi-mode cavities compared to other superconducting hardware.

Abstract

Near-term quantum computing technologies grapple with huge complexity overheads, hindering their ability to induce algorithms, necessitating engineering and scientific innovations. One class of problems of interest is Quantum Simulation, whereby quantum systems are simulated using a quantum computer. However, current devices are yet to surpass classical tensor network techniques. For problems of interest, where classical simulation techniques fail, large degrees of entanglement are required. Another challenge of implementing quantum simulation problems is that qubits sit idle whilst alternating simulation terms are implemented, exposing the system to decoherence. In the near term, 2D planar superconducting lattices of circuit-QED elements such as the transmon continue to draw substantial attention, but they are hindered by their nearest neighbor topology and relatively short lifespan, two problems that are problematic for quantum simulation. One technology of particular interest is the multi-mode superconducting resonator capable of storing multiple qubits in one device. We observe that these cavities have a natural virtual topology that aligns particularly well with quantum simulation problems, and exhibit much longer lifespans in comparison to other planar superconducting hardware. In this paper we present MUCIC, we discuss the simple integration of these devices into the current landscape and their implications to quantum simulation, motivated by their alignment to the quantum simulation problem, and potential as a quantum memory candidate. We report the development of MUCICs transpiler, leading to reductions of up to 82% in quantum simulation circuit depths. Additionally, our investigation demonstrates improvements of up to 19.4% in converged results from Variational Quantum Algorithms.