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Near-Heisenberg-limit Quantum Computing

Wang, Frank Z. (2025) Near-Heisenberg-limit Quantum Computing. ACM Transactions on Quantum Computing, 7 (1). pp. 1-15. ISSN 2643-6809. E-ISSN 2643-6817. (doi:10.1145/3769850) (KAR id:112154)

Abstract

Quantum computing is fundamentally limited by the Planck constant (h = 6.63 ×10 −34 J ·s) through the Heisenberg Limit. The energy consumption over a given time, or the speed of processing information with a specific energy budget, is a core research focus in quantum computing. To date, the smallest action (the energy-time cost) achieved is approximately 10 −29 J ·s, using a giant spin qubit composed of 20 spins. In our study, we achieved an action of 1.66 ×10 −34 J ·s to reversibly manipulate a single spin qubit through a spin-spin magnetic interaction experiment. By adhering to the principle of least action, our theoretical and experimental results establish the minimal action required. Our findings highlight the potential of spin-qubit quantum computers as accelerators for computation-intensive applications, such as AI and Post-Quantum Cryptography, since they exhibit several unique advantages: 1. High energy efficiency (by approaching the Heisenberg limit as well as the Landauer bound); 2. High-density integration (with just an atom/ion per qubit); 3. Long coherence times (tens of seconds); 4. High-fidelity (98%); and 5. Fault tolerance (through decoherence- free subspaces).

Item Type: Article
DOI/Identification number: 10.1145/3769850
Uncontrolled keywords: Quantum computing architecture, qubit, the principle of least action, artificial intelligence, post-quantum cryptography
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Q Science > QC Physics > QC174.12 Quantum theory
Institutional Unit: Schools > School of Computing
Former Institutional Unit:
There are no former institutional units.
Funders: European Council for Construction Research, Development and Innovation (https://ror.org/00d7nha28)
Depositing User: Frank Wang
Date Deposited: 28 Nov 2025 07:13 UTC
Last Modified: 01 Dec 2025 13:01 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/112154 (The current URI for this page, for reference purposes)

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