Neural-network heuristics for adaptive Bayesian quantum estimation
Quantum metrology promises unprecedented measurement precision but suffers in practice
from the limited availability of resources such as the number of probes, their coherence time …
from the limited availability of resources such as the number of probes, their coherence time …
Active learning of quantum system Hamiltonians yields query advantage
Hamiltonian learning is an important procedure in quantum system identification, calibration,
and successful operation of quantum computers. Through queries to the quantum system …
and successful operation of quantum computers. Through queries to the quantum system …
Experimental Bayesian estimation of quantum state preparation, measurement, and gate errors in multiqubit devices
We introduce a Bayesian method for the estimation of single-qubit errors in quantum
devices, and use it to characterize these errors on three superconducting 27-qubit devices …
devices, and use it to characterize these errors on three superconducting 27-qubit devices …
Quantum model learning agent: characterisation of quantum systems through machine learning
Accurate models of real quantum systems are important for investigating their behaviour, yet
are difficult to distil empirically. Here, we report an algorithm—the quantum model learning …
are difficult to distil empirically. Here, we report an algorithm—the quantum model learning …
[HTML][HTML] Identifiability and characterization of transmon qutrits through Bayesian experimental design
S Reddy - Journal of Applied Physics, 2024 - pubs.aip.org
Robust control of a quantum system is essential to utilize the current noisy quantum
hardware to its full potential, such as quantum algorithms. To achieve such a goal, a …
hardware to its full potential, such as quantum algorithms. To achieve such a goal, a …
Accelerating Learning of Quantum Systems using Prior Information
A Dutt - 2024 - dspace.mit.edu
Towards realizing practically useful quantum devices, the sizes of quantum devices are
being scaled up. An imminent challenge to scalability is ensuring resource requirements of …
being scaled up. An imminent challenge to scalability is ensuring resource requirements of …
[PDF][PDF] Schrödinger's Catwalk
B Flynn - 2021 - research-information.bris.ac.uk
Quantum technologies exploit quantum mechanical processes to achieve outcomes beyond
the reach of classical machinery. One of their most promising applications is quantum …
the reach of classical machinery. One of their most promising applications is quantum …
Simulating Many-Body Quantum Systems: Quantum Algorithms and Experimental Realisation
NJ Pearson - 2020 - research-collection.ethz.ch
The simulation of many-body quantum systems is an extensive field of research which has a
large number of applications and has motivated numerous experimental, theoretical and …
large number of applications and has motivated numerous experimental, theoretical and …
Learning the physics of open quantum systems from experiments
AFRC Alves - 2021 - repositorium.sdum.uminho.pt
The ability to efficiently determine the dynamics to which a quantum device conforms is vital
for its reliable operation. Thus, as quantum machines evolve, the means for their …
for its reliable operation. Thus, as quantum machines evolve, the means for their …
Learning the Physics of Open Quantum Systems from Experiments
AFR da Costa Alves - 2021 - search.proquest.com
The ability to efficiently determine the dynamics to which a quantum device conforms is vital
for its reliable operation. Thus, as quantum machines evolve, the means for their …
for its reliable operation. Thus, as quantum machines evolve, the means for their …