Quantum optimal control, a toolbox for devising and implementing the shapes of external
fields that accomplish given tasks in the operation of a quantum device in the best way …

The ability to prepare a physical system in a desired quantum state is central to many areas
of physics such as nuclear magnetic resonance, cold atoms, and quantum computing. Yet …

Quantum annealing (QA) and the quantum approximate optimization algorithm (QAOA) are
two special cases of the following control problem: apply a combination of two Hamiltonians …

In recent years, research in quantum computing has largely focused on two approaches:
near-term intermediate-scale quantum (NISQ) computing and future fault-tolerant quantum …

We demonstrate that with an optimally tuned scheduling function, adiabatic quantum
computing (AQC) can readily solve a quantum linear system problem (QLSP) with O (κ poly …

The quantum approximate optimization algorithm (QAOA) is a near-term hybrid algorithm
intended to solve combinatorial optimization problems, such as MaxCut. QAOA can be made …

State-of-the-art noisy digital quantum computers can only execute short-depth quantum
circuits. Variational algorithms are a promising route to unlock the potential of noisy quantum …

We identify time-optimal laser pulses to implement the controlled-Z gate and its three qubit
generalization, the C $ _2 $ Z gate, for Rydberg atoms in the blockade regime. Pulses are …

Quantum control methods, like rapid adiabatic passage, stimulated Raman adiabatic
passage, shortcuts to adiabaticity and optimal control, have become an integral part of …

The nonequilibrium process where the system does not evolve to the featureless state, that
without quantum properties, is one of the new central objects in the nonequilibrium …