Hamiltonian quantum gates -- energetic advantage from entangleability
Josey Stevens, Sebastian Deffner
TL;DR
This work quantifies the fundamental energy cost of implementing Hamiltonian quantum gates under classical field control by deriving a lower bound on the control-field energy tied to gate error. Using a tensor-product decomposition to represent multipartite gates, the authors relate field fluctuations to a set of observable coefficients $\lambda_i$, whose variances $\epsilon_i$ bound gate infidelity, with $\epsilon \le \sum_i |\epsilon_i|$. They show the energy required scales as $\langle E \rangle \ge \frac{\hbar \omega_0}{4 \epsilon^2} \max_i |\lambda_i|^2$ (or additively for independent terms), implying higher precision demands more energy. Crucially, they demonstrate that entangleability of the generating Hamiltonian can dramatically reduce energy costs, and with suitably large ancilla resources, universal quantum computation could, in principle, be performed with vanishing external energy—transferring control load to system interactions. The results emphasize entangleability as a control resource and illuminate fundamental energy-tradeoffs in quantum computing, while acknowledging practical limitations such as dissipation and exact multi-qubit interactions.
Abstract
Hamiltonian quantum gates controlled by classical electromagnetic fields form the basis of any realistic model of quantum computers. In this letter, we derive a lower bound on the field energy required to implement such gates and relate this energy to the expected gate error. We study the entangleability (ability to entangle qubits) of Hamiltonians and highlight how this feature of quantum gates can provide a means for more energetically efficient computation. Ultimately, we show that a universal quantum computer can be realized with vanishingly low energetic requirements but at the expense of arbitrarily large complexity.
