English

Peptides as versatile scaffolds for quantum computing

Mesoscale and Nanoscale Physics 2017-10-04 v2 Quantum Physics

Abstract

In this work we showcase the potential of peptides as versatile scaffolds for quantum computing and molecular spintronics. In particular, we focus on lanthanide-binding tags, which were originally developed in the field of biotechnology for the study of protein structure and dynamics. Firstly, we demonstrate quantum coherent oscillations in a Neodymium peptidic qubit. Then, employing bacterial biosynthesis, we investigate the possibility of increasing the number of qubits in the same molecular system, with the case studies being a double spin qubit with two distinct coordination environments, and an asymmetric chain of 9 spin qubits with a spin-spin separation of about 2 nm and in an arbitrarily chosen sequence of coordination environments. Finally, we take advantage of biochemical modification for the preparation of paramagnetic, chiral, Self-Assembled Monolayers (SAMs) on Au(111).Our experimental and theoretical characterization shows that this is a promising structure for spintronic applications, and in particular to improve on two state-of-the-art approaches to molecular spin qubits. We conclude with an overview of the challenges and new opportunities opened by this emerging field.

Keywords

Cite

@article{arxiv.1708.09440,
  title  = {Peptides as versatile scaffolds for quantum computing},
  author = {Lorena E. Rosaleny and Alicia Forment-Aliaga and Helena Prima-García and Ramón Torres Cavanillas and José J. Baldoví and Violetta Gołȩbiewska and Karolina Wlazło and Garin Escorcia-Ariza and Luis Escalera-Moreno and Sergio Tatay and Carolina García-Llácer and Miguel Clemente-León and Salvador Cardona-Serra and Patricia Casino and Luis Martínez-Gil and Alejandro Gaita-Ariño and Eugenio Coronado},
  journal= {arXiv preprint arXiv:1708.09440},
  year   = {2017}
}

Comments

Manuscript from LaTeX, Supporting Information as pdf from LibreOffice. Update: minor changes, improved figures

R2 v1 2026-06-22T21:28:24.229Z