2024
DOI: 10.1088/1367-2630/ad313e
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Counterdiabatic optimized driving in quantum phase sensitive models

Francesco Pio Barone,
Oriel Kiss,
Michele Grossi
et al.

Abstract: State preparation plays a pivotal role in numerous quantum algorithms, including quantum phase estimation. This paper extends and benchmarks counterdiabatic driving protocols across three one-dimensional spin systems characterized by phase transitions: the axial next-nearest neighbor Ising, XXZ, and Haldane-Shastry models. We perform a shallow quantum optimal control over the counterdiabatic protocols by optimizing an energy cost function. Moreover, we provide a code package for computing symbolically various … Show more

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Cited by 4 publications
(2 citation statements)
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“…Counterdiabatic optimized local driving was proposed as a combination of optimal control theory with local approximate counterdiabatic driving [110]. A benchmark test was performed using nontrivial spin systems [111]. The Pauli-Y matrix is known as the first-order counterdiabatic term in local approximate counterdiabatic driving of quantum annealing.…”
Section: Performance Improvementmentioning
confidence: 99%
“…Counterdiabatic optimized local driving was proposed as a combination of optimal control theory with local approximate counterdiabatic driving [110]. A benchmark test was performed using nontrivial spin systems [111]. The Pauli-Y matrix is known as the first-order counterdiabatic term in local approximate counterdiabatic driving of quantum annealing.…”
Section: Performance Improvementmentioning
confidence: 99%
“…From an experimental standpoint, the amount of possible operations is often very limited and usually involves scenarios where the qubits are arranged in a certain specific manner only allowing a subset of the totality of the interactions (e.g. [45,63] where a certain ansatz for A CD is considered, or [64], where different graphs illustrating some connectivities are depicted). Consequently, trying to solve the entirety of the CD protocol in such situations would be impractical and unrealistic.…”
Section: Scalabilitymentioning
confidence: 99%