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1
Intro
2
QUANTUM COMPUTING
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QUANTUM MANY-BODY PROBLEMS
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QUANTUM INFORMATION
5
DYNAMICS
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GOALS AND CHALLENGES
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GROUND STATE Heuristic algorithms
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FINITE TEMPERATURE
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Classical algorithms
10
Quantum algorithm
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FINITE ENERGIES Summary
12
CONDENSED MATTER PHYSICS
13
LATTICE GAUGE THEORIES
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Removing fermions
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QUANTUM CHEMISTRY
Description:
Explore the challenges and potential solutions in simulating quantum many-body systems through this comprehensive high energy theory seminar. Delve into quantum computing algorithms and analog quantum simulators, examining their advantages and limitations. Gain insights into methods for simulating dynamics, finding ground states, and computing physical properties at finite temperatures. Cover topics such as quantum information, condensed matter physics, lattice gauge theories, and quantum chemistry. Learn about heuristic algorithms, classical and quantum approaches, and the removal of fermions in simulations. Understand the goals, challenges, and potential breakthroughs in this cutting-edge field of quantum physics and computation.

Quantum Computing and the Difficulty of Simulating Quantum Many-Body Systems - Ignacio Cirac

Institute for Advanced Study
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