complexity of simulating quantum systems on classical computers barbara terhal ibm research

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omplexity of simulating quantum system on classical computers Barbara Terhal IBM Research

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Page 1: Complexity of simulating quantum systems on classical computers Barbara Terhal IBM Research

Complexity of simulating quantum systems on classical computers

Barbara TerhalIBM Research

Page 2: Complexity of simulating quantum systems on classical computers Barbara Terhal IBM Research

Computational Quantum Physics

Computational quantum physicists (in condensed-matter physics, quantum chemistry etc.) have been in the business of showing how to simulate and understand properties of many-body quantum systems using a classical computer.

Heuristic and ad-hoc methods dominate, but the claim has been that these methods often work well in practice.

Quantum information science has and will contribute to computational quantum physics in several ways:

• Come up with better simulation algorithms

• Make rigorous what is done heuristically/approximately in computational physics.

• Delineate the boundary between what is possible and what is not. That is: show that certain problems are hard for classical (or even quantum) computers in a complexity sense.

Page 3: Complexity of simulating quantum systems on classical computers Barbara Terhal IBM Research

Physically-Relevant Quantum States

local interactions are between O(1) degrees of freedom (e.g. qubits)

Page 4: Complexity of simulating quantum systems on classical computers Barbara Terhal IBM Research

Efficient Classical Descriptions

Page 5: Complexity of simulating quantum systems on classical computers Barbara Terhal IBM Research

Matrix Product States

Page 6: Complexity of simulating quantum systems on classical computers Barbara Terhal IBM Research

1st Generalization: Tree Tensor Product States

Page 7: Complexity of simulating quantum systems on classical computers Barbara Terhal IBM Research

2nd Generalization: Tensor Product States or PEPS

Page 8: Complexity of simulating quantum systems on classical computers Barbara Terhal IBM Research

Properties of MPS and Tree-TPS

Page 9: Complexity of simulating quantum systems on classical computers Barbara Terhal IBM Research

Properties of tensor product states

PEPS and TPS perhaps too general for classical simulation purposes

Page 10: Complexity of simulating quantum systems on classical computers Barbara Terhal IBM Research

Quantum Circuit Point of View

Past Light ConeMax width

Page 11: Complexity of simulating quantum systems on classical computers Barbara Terhal IBM Research

Quantum Circuit Point of View

Page 12: Complexity of simulating quantum systems on classical computers Barbara Terhal IBM Research

Quantum Circuit Point of View

Page 13: Complexity of simulating quantum systems on classical computers Barbara Terhal IBM Research

Area Law

Page 14: Complexity of simulating quantum systems on classical computers Barbara Terhal IBM Research

Classical Simulations of Dynamics

Page 15: Complexity of simulating quantum systems on classical computers Barbara Terhal IBM Research

Lieb-Robinson Bounds

Bulk Past Light Cone B

ALieb-Robinson Bound: Commutator of operator A with backwards propagated B decays exponentially with distance betweenA and B, when A is outside B’s effective past light-cone.

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Stoquastic Hamiltonians

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Examples of Stoquastic Hamiltonians

Particles in a potential; Hamiltonian is a sum of a diagonal potential term in position |x> and off-diagonal negative kinetic terms (-d2/dx2).All of classical and quantum mechanics.Quantum transverse Ising model Ferromagnetic Heisenberg models (modeling interacting spins on lattices)Jaynes-Cummings Hamiltonian (describing atom-laser interaction), spin-boson model, bosonic Hubbard models, Bose-Einstein condensates etc. D-Wave’s Orion quantum computer…Non-stoquastic are typically fermionic systems, charged particles in a magnetic field.

Stoquastic Hamiltonians are ubiquitous in nature.

Note that we only consider ground-state properties of these Hamiltonians.

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Stoquastic Hamiltonians

Page 19: Complexity of simulating quantum systems on classical computers Barbara Terhal IBM Research

Frustration-Free Stoquastic Hamiltonians

Page 20: Complexity of simulating quantum systems on classical computers Barbara Terhal IBM Research

Conclusion