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  1. Comparing Classical and Quantum Ground State Preparation Heuristics Katerina Gratsea,1,2, ∗ Jakob S. Kottmann,3 Peter D. Johnson,2 and Alexander A. Kunitsa2 1ICFO - Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Av. Carl Friedrich Gauss 3, 08860 Castelldefels (Barcelona), Spain 2Zapata AI, Inc.
  2. Jan 10, 2024One promising field of quantum computation is the simulation of quantum systems, and specifically, the task of ground state energy estimation (GSEE). Ground state preparation (GSP) is a crucial component in GSEE algorithms, and classical methods like Hartree-Fock state preparation are commonly used. However, the efficiency of such classical methods diminishes exponentially with increasing ...
  3. The simulation of quantum systems is one of the more promising applications of quantum computers [].In particular, many methods have been proposed to solve the ubiquitous task of ground state energy estimation [2, 3, 4].Unfortunately, the quantum resources needed to solve this task for industrial applications is many millions of physical qubits [5, 6] and the computations can take days to ...
  4. export.arxiv.org

    Jan 10, 2024Ground state preparation (GSP) is a crucial component in GSEE algorithms, and classical methods like Hartree-Fock state preparation are commonly used. However, the efficiency of such classical methods diminishes exponentially with increasing system size in certain cases. In this study, we investigated whether in those cases quantum heuristic ...
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  6. paperswithcode.com

    Jan 10, 2024Ground state preparation (GSP) is a crucial component in GSEE algorithms, and classical methods like Hartree-Fock state preparation are commonly used. However, the efficiency of such classical methods diminishes exponentially with increasing system size in certain cases. In this study, we investigated whether in those cases quantum heuristic ...
  7. constant precision regime when the guiding state is classically evaluatable. Our completeness results show that, from a complexity-theoretic perspective, classical Ansätze selected by classical heuristics are just as powerful as quantum Ansätze prepared by quantum heuristics, as long as one has access to quantum phase estimation.
  8. link.aps.org

    Sep 25, 2024The ground state properties of quantum many-body systems are a subject of interest across chemistry, materials science, and physics. Thus, algorithms for finding ground states can have broad impacts. Variational quantum algorithms are one class of ground state algorithms that has received significant attention in recent years. These algorithms utilize a hybrid quantum-classical computing ...
  9. bulletpapers.ai

    This paper explores using quantum algorithms to estimate the lowest energy (ground state) of quantum systems, which is key for simulating materials and chemistry. The algorithms combine classical and quantum techniques - first approximating the ground state classically, then improving that estimate on a quantum computer. The paper shows these quantum 'heuristic' techniques significantly ...
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