Dylan Harley

ORCID: 0000-0003-2927-1034
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About
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Research Areas
  • Quantum Computing Algorithms and Architecture
  • Quantum Information and Cryptography
  • Quantum and electron transport phenomena
  • Quantum Mechanics and Applications

University of Copenhagen
2023-2025

Quantum computers can accurately compute ground state energies using phase estimation, but this requires a guiding that has significant overlap with the true state. For large molecules and extended materials, it becomes difficult to find states good for growing molecule sizes. Additionally, required number of qubits quantum gates may become prohibitively large. One approach dealing these challenges is use embedding method, which allows reduction one or multiple smaller cores embedded in...

10.1103/prxlife.3.013003 article EN cc-by PRX Life 2025-01-14

Quantum hardware has the potential to efficiently solve computationally difficult problems in physics and chemistry reap enormous practical rewards. Analogue quantum simulation accomplishes this by using dynamics of a controlled many-body system mimic those another system; such method is feasible on near-term devices. We show that previous theoretical approaches analogue suffer from fundamental barriers which prohibit scalable experimental implementation. By introducing new mathematical...

10.1038/s41467-024-50744-9 article EN cc-by Nature Communications 2024-08-02

Quantum computers can accurately compute ground state energies using phase estimation, but this requires a guiding which has significant overlap with the true state.For large molecules and extended materials, it becomes difficult to find states good for growing molecule sizes. Additionally, required number of qubits quantum gates may become prohibitively large. One approach dealing these challenges is use embedding method, allows reduction one or multiple smaller cores embedded in larger...

10.48550/arxiv.2408.01940 preprint EN arXiv (Cornell University) 2024-08-04

We propose a theoretical framework for analogue quantum simulation to capture the full scope of experimentally realisable simulators, motivated by set fundamental criteria first introduced Cirac and Zoller. Our is consistent with Hamiltonian encodings used in complexity theory, stable under noise, encompasses range possibilities experiment, such as open systems overhead reduction using Lieb-Robinson bounds. discuss requirement scalability simulation, particular argue that should not involve...

10.48550/arxiv.2306.13739 preprint EN other-oa arXiv (Cornell University) 2023-01-01
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