Hamiltonian quantum gates-energetic advantage from <i>entangleability</i>

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.

Authors

Institutions

Publication Details

Journal
Quantum Science and Technology
Published
2025-09-30
DOI
https://doi.org/10.1088/2058-9565/ae0daf
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hamiltonian quantum gates-energetic advantage from entangleability

Josey Stevens, Sebastian Deffner
Quantum Science and Technology
Quantum Computing Algorithms and Architecture
article

Hamiltonian quantum gates-energetic advantage from entangleability

Josey Stevens, Sebastian Deffner
article en

Abstract

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.

Quantum Science and TechnologyVol. 10(4)
Johns Hopkins University Applied Physics Laboratory (US), Joint Quantum Institute (US), University of Maryland, Baltimore County (US)
Openalex Percentile: Top 86%
Quantum Computing Algorithms and Architecture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.