Novel Oxides and Topological Interfaces for quantum Computing Electronics

ongoing

Today’s quantum computers are suffering from a very high error rate due to decoherence (i.e. loss of quantum information) in their qubits fabricated with superconductors junctions or semiconductors quantum dots. The goal of this proposal is to research radically new materials and architectures to build a “fault-tolerant” qubit device on Silicon substrate (i.e. scalable), that will be immune to decoherence problems. In NOTICE, we will design and synthetize novel crystalline perovskite materials, monolithically integrated on a Silicon substrate, with topological insulating properties to enable the generation of Majorana fermions at the heterointerface with a superconductor. The generated Majorana fermions will hold the quantum information in such “Majorana qubit” which will be resistant to noises and fluctuations due to the topology effect if stable and robust materials presenting the desired properties can be obtained. Bismuth-based perovskites were down-selected as topological insulator (BaBi(O,F)3) and superconductor ((Ba,K)BiO3) oxides due to the very strong Spin Orbit Coupling present in Bi which will favorize the efficient generation of Majorana fermions at the perfect (pristine) BaBi(O,F)3/(Ba,K)BiO3 heterointerface. With Molecular Beam Epitaxy growth approach together with advanced characterization techniques such as Angle-Resolved PhotoEmission Spectroscopy measurements and ab-initio simulations on the topological insulating properties of the perovskites, we aim to generate a stable topological interface leading to the efficient generation of Majorana fermions. This breakthrough will enable us to fabricate chiral Majorana devices on a Silicon technology platform, providing both reliability and manufacturing scalability. NOTICE results will pave the way to “fault-tolerant” qubit, bringing a paradigm shift in quantum computing by reducing drastically the gap between logical and physical qubits and the need for quantum error correction algorithms.