Digital Quantum Simulation With Gate Sequences
Digital quantum simulation breaks a system’s time evolution into sequences of gates on a quantum computer. Methods, uses and hardware limits.
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739 articlesDigital quantum simulation breaks a system’s time evolution into sequences of gates on a quantum computer. Methods, uses and hardware limits.
Adiabatic evolution keeps a system in its ground state if a Hamiltonian changes slowly enough. The theorem, the steps and uses in optimization.
The Ising, Heisenberg and XY spin models: what they describe, how lattice geometry matters and how they show phase transitions and spin liquids.
Methods for simulating quantum many-body systems, from tensor networks to quantum computers, and their uses in materials science.
How quantum circuits are simulated on classical computers with state vectors, tensor networks and tools such as Qiskit and Cirq, and where limits lie.
Quantum Monte Carlo methods use random sampling to study quantum systems on classical computers. How they work and why the sign problem limits them.
Quantum lattice gas automata model particles hopping on a lattice with quantum rules and can simulate fluids and many-body physics. How they work.
How information flows causally through quantum systems, the frameworks and graphs used to describe it, and the challenges posed by entanglement.
Transfer entropy measures directed information flow between systems. How a quantum version is defined and its uses in communication and networks.
Rényi mutual information generalizes mutual information using Rényi entropies. How it is defined for quantum systems and where it is used.
The quantum Jensen-Shannon divergence is a symmetric, bounded measure of how different two quantum states are. Definition, properties and uses.
Fidelity measures compared: Uhlmann, Jozsa and Bures versions, how they differ and where they are used in computing and metrology.