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arxiv: 2105.04736 · v5 · pith:CJQ35STLnew · submitted 2021-05-11 · 🪐 quant-ph · cond-mat.mtrl-sci· cond-mat.str-el

Quantum Embedding Theories to Simulate Condensed Systems on Quantum Computers

classification 🪐 quant-ph cond-mat.mtrl-scicond-mat.str-el
keywords quantumcomputerssystemsarchitecturesembeddingmaterialspromisingsimulations
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Quantum computers hold promise to improve the efficiency of quantum simulations of materials and to enable the investigation of systems and properties more complex than tractable at present on classical architectures. Here, we discuss computational frameworks to carry out electronic structure calculations of solids on noisy intermediate scale quantum computers using embedding theories, and we give examples for a specific class of materials, i.e., spin defects in solids. These are promising systems to build future quantum technologies, e.g., computers, sensors and devices for quantum communications. Although quantum simulations on quantum architectures are in their infancy, promising results for realistic systems appear to be within reach.

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  1. Distribution Complexity of Electronic Structure Simulations on Quantum Supercomputers

    quant-ph 2026-06 unverdicted novelty 5.0

    An algorithm is presented for estimating distribution complexity of electronic structure Hamiltonians, with O(N^3) entanglement estimation per fragment and quadratic/exponential reductions in distribution cost for qua...