Beecroft Building, Department of Physics, University of Oxford, Parks Road, Oxford, OX1 3PU
Dr Ella Crane, Kings College London
Abstract
Simulating quantum systems on quantum computers promises an exponential speedup over classical methods. This could have applications in materials and drug design. Quantum simulation requires the simulation of the interaction of the two fundamental particle types: fermions (such as electrons) and bosons (such as phonons). A quantum computer deals with this by mapping these species to qubits. However, many quantum computing platforms create qubits from fermionic or bosonic degrees of freedom! In this talk, we explore the foundations of using fermions and bosons digitally as the computational model of quantum computing. This includes discretizing analog evolution to obtain a universal discrete set of operations, implementing error-correction, and exploring the resource estimate advantage of quantum computing with fermions, bosons and qubits rather than just qubits.
Based on:
[1] Crane et al., PRX, 2026
[2] Schuckert et al., arxiv:2411:08955
[3] Constantinides et al., arXiv:2510:05099