Molecules

Our focus on biomolecules at the intersection of quantum and classical realms aims to tackle pivotal technological and theoretical challenges. We harness cutting-edge quantum technologies to explore and manipulate single biomolecules, revealing how quantum effects can influence biological outcomes.

Single Molecule Detection and Manipulation

We are redefining the frontiers of observing and controlling the structure and dynamics of biological assemblies at the single-molecule level. Our goal is to simultaneously probe the 3D structure, track atomic motions, and manipulate the dynamics of peptides and proteins. By integrating advanced technologies—quantum defects in nano-diamonds, upconversion nanoemitters, and far-sub-wavelength optical cavities—we will achieve unprecedented sensitivity and speed.

Quantum defects in nano-diamonds enable us to detect magnetic field-dependent signals from single molecules, while upconversion nanoemitters help isolate specific signals from background noise. Far-sub-wavelength optical cavities enhance resonance signals and facilitate energy manipulation in collective vibrational modes. Our initial efforts focus on optimizing these technologies to deepen our understanding of protein structure and dynamics, ultimately progressing toward complex systems like catalysis.

Theory, Simulation, and Quantum Computation

Alongside our technological advancements, we are committed to enhancing our theoretical framework. Our research seeks to accurately simulate biological systems at the atomic level, particularly focusing on when quantum coherence can be sustained under physiological conditions. Understanding these principles is vital for realizing the full potential of our quantum technologies.

Our long-term vision includes controlling enzyme catalysis and addressing grand challenges in hydrogen and ammonia production. By improving the representation of quantum effects in simulations—particularly entanglement and superposition—we can move beyond current limitations that restrict studies to small models. Quantum computing holds the promise of accurately simulating complex molecular processes, enabling us to explore how biological systems have evolved to leverage quantum effects.

We are collaborating with partners like IBM and Psi-Quantum to develop innovative algorithms that will push the boundaries of classical computation. Together, we aim to harness these advances to tackle the grand challenges at the forefront of our research.


Contact us

If you would like to work or study with us within this research theme, email our Molecules Theme Lead, Professor Alan Mark.