Year: 2023
Type: article
Abstract: Quantum information processing promises to revolutionise computing; quantum algorithms have been discovered that address common tasks significantly more efficiently than their classical counterparts. For a physical system to be a viable quantum computer it must be possible to initialise its quantum state, to realise a set of universal quantum logic gates, including at least one multi-qubit gate, and to make measurements of qubit states. Molecular Electron Spin Qubits (MESQs) have been proposed to fulfil these criteria, as their bottom-up synthesis should facilitate tuning properties as desired and the reproducible production of multi-MESQ structures. Here we explore how to perform a two-qubit entangling gate on a multi-MESQ system, and how to readout the state via quantum state tomography. We propose methods of accomplishing both procedures using multifrequency pulse Electron Paramagnetic Resonance (EPR) and apply them to a model MESQ structure consisting of two nitroxide spin centres. Our results confirm the methodological principles and shed light on the experimental hurdles which must be overcome to realise a demonstration of controlled entanglement on this system.
Source: Nature Communications
Institutions: University of Manchester, University of Oxford
Language: English
Field: Materials Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $6,290
Awards: G1219913396, G1872917083, FAult Tolerant MOLecular Spin processor, G1942994768, G2213097372, G2245318178, G2420245581, Magnetic Properties Measurement System for Manchester and National EPR Facility, G3310506082, G3887199949, G434337789, G4555139402, G486626675, Scaling Up quantum computation with Molecular spins, G5549012873, From rings to nanostructures, G6097594871, Molecular assembly of spintronic circuits with DNA, G6962567139, G7110567141, G7151964444, G7332968196, EPR NRF Core Equipment Bid, G7457705835, G7963919053, G8111471146, G8307044531, A National Research Facility for EPR Spectroscopy, 2022-2027
OpenAlex ID: W4388212458