[HTML][HTML] The variational quantum eigensolver: a review of methods and best practices
The variational quantum eigensolver (or VQE), first developed by Peruzzo et al.(2014), has
received significant attention from the research community in recent years. It uses the …
received significant attention from the research community in recent years. It uses the …
Quantum computing with and for many-body physics
Quantum computing technologies are making steady progress. This has opened new
opportunities for tackling problems whose complexity prevents their description on classical …
opportunities for tackling problems whose complexity prevents their description on classical …
Nuclear shell-model simulation in digital quantum computers
The nuclear shell model is one of the prime many-body methods to study the structure of
atomic nuclei, but it is hampered by an exponential scaling on the basis size as the number …
atomic nuclei, but it is hampered by an exponential scaling on the basis size as the number …
Simulating lattice gauge theory on a quantum computer
The utility of quantum computers for simulating lattice gauge theories is currently limited by
the noisiness of the physical hardware. Various quantum error mitigation strategies exist to …
the noisiness of the physical hardware. Various quantum error mitigation strategies exist to …
Quantum phase detection generalization from marginal quantum neural network models
Quantum machine learning offers a promising advantage in extracting information about
quantum states, eg, phase diagram. However, access to training labels is a major bottleneck …
quantum states, eg, phase diagram. However, access to training labels is a major bottleneck …
[HTML][HTML] Machine learning for anomaly detection in particle physics
V Belis, P Odagiu, TK Aarrestad - Reviews in Physics, 2024 - Elsevier
The detection of out-of-distribution data points is a common task in particle physics. It is used
for monitoring complex particle detectors or for identifying rare and unexpected events that …
for monitoring complex particle detectors or for identifying rare and unexpected events that …
Counterdiabatic optimized driving in quantum phase sensitive models
State preparation plays a pivotal role in numerous quantum algorithms, including quantum
phase estimation. This paper extends and benchmarks counterdiabatic driving protocols …
phase estimation. This paper extends and benchmarks counterdiabatic driving protocols …
Multi-body entanglement and information rearrangement in nuclear many-body systems: a study of the Lipkin–Meshkov–Glick model
We examine how effective-model-space (EMS) calculations of nuclear many-body systems
rearrange and converge multi-particle entanglement. The generalized Lipkin–Meshkov …
rearrange and converge multi-particle entanglement. The generalized Lipkin–Meshkov …
Projection algorithm for state preparation on quantum computers
We present an efficient method to prepare states of a many-body system on quantum
hardware, first isolating individual quantum numbers and then using time evolution to isolate …
hardware, first isolating individual quantum numbers and then using time evolution to isolate …
Symmetry breaking/symmetry preserving circuits and symmetry restoration on quantum computers: A quantum many-body perspective
We discuss here some aspects related to the symmetries of a quantum many-body problem
when trying to treat it on a quantum computer. Several features related to symmetry …
when trying to treat it on a quantum computer. Several features related to symmetry …