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All Outputs (7)

Evaluating the Robustness of Collaborative Agents (2021)
Conference Proceeding
Knott, P., Carroll, M., Devlin, S., Ciosek, K., Hofmann, K., Dragan, A., & Shah, R. (2021). Evaluating the Robustness of Collaborative Agents. In AAMAS '21: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (1560-1562)

Artificial agents trained by deep reinforcement learning will likely encounter novel situations after deployment that were never seen during training. Our agent must be robust to handle such situations well. However, if we cannot rely on the average... Read More about Evaluating the Robustness of Collaborative Agents.

Quantum sensing networks for the estimation of linear functions (2020)
Journal Article
Rubio, J., Knott, P., Proctor, T. J., & Dunningham, J. A. (2020). Quantum sensing networks for the estimation of linear functions. Journal of Physics A: Mathematical and Theoretical, 53(34), Article 344001. https://doi.org/10.1088/1751-8121/ab9d46

The theoretical framework for networked quantum sensing has been developed to a great extent in the past few years, but there are still a number of open questions. Among these, a problem of great significance, both fundamentally and for constructing... Read More about Quantum sensing networks for the estimation of linear functions.

Designing quantum experiments with a genetic algorithm (2019)
Journal Article
Nichols, R., Mineh, L., Rubio, J., Matthews, J. C., & Knott, P. A. (2019). Designing quantum experiments with a genetic algorithm. Quantum Science and Technology, 4(4), Article 045012. https://doi.org/10.1088/2058-9565/ab4d89

We introduce a genetic algorithm that designs quantum optics experiments for engineering quantum states with specific properties. Our algorithm is powerful and flexible, and can easily be modified to find methods of engineering states for a range of... Read More about Designing quantum experiments with a genetic algorithm.

A hybrid machine learning algorithm for designing quantum experiments (2019)
Journal Article
O’Driscoll, L., Nichols, R., & Knott, P. A. (2019). A hybrid machine learning algorithm for designing quantum experiments. Quantum Machine Intelligence, 1(1-2), 5-15. https://doi.org/10.1007/s42484-019-00003-8

We introduce a hybrid machine-learning algorithm for designing quantum optics experiments to produce specific quantum states. Our algorithm successfully found experimental schemes to produce all 5 states we asked it to, including Schrödinger cat stat... Read More about A hybrid machine learning algorithm for designing quantum experiments.

Generic emergence of objectivity of observables in infinite dimensions (2018)
Journal Article
Knott, P. A., Tufarelli, T., Piani, M., & Adesso, G. (2018). Generic emergence of objectivity of observables in infinite dimensions. Physical Review Letters, 121(16), https://doi.org/10.1103/PhysRevLett.121.160401

Quantum Darwinism posits that information becomes objective whenever multiple observers indirectly probe a quantum system by each measuring a fraction of the environment. It was recently shown that objectivity of observables emerges generically from... Read More about Generic emergence of objectivity of observables in infinite dimensions.

Multiparameter estimation in networked quantum sensors (2018)
Journal Article
Proctor, T. J., Knott, P. A., & Dunningham, J. A. (2018). Multiparameter estimation in networked quantum sensors. Physical Review Letters, 120(8), https://doi.org/10.1103/PhysRevLett.120.080501

We introduce a general model for a network of quantum sensors, and we use this model to consider the following question: When can entanglement between the sensors, and/or global measurements, enhance the precision with which the network can measure a... Read More about Multiparameter estimation in networked quantum sensors.

Non-asymptotic analysis of quantum metrology protocols beyond the Cramér-Rao bound (2018)
Journal Article
Rubio Jiménez, J., Knott, P., & Dunningham, J. A. (2018). Non-asymptotic analysis of quantum metrology protocols beyond the Cramér-Rao bound. Journal of Physics Communications, 2, Article 015027. https://doi.org/10.1088/2399-6528/aaa234

Many results in the quantum metrology literature use the Cramér-Rao bound and the Fisher information to compare different quantum estimation strategies. However, there are several assumptions that go into the construction of these tools, and these li... Read More about Non-asymptotic analysis of quantum metrology protocols beyond the Cramér-Rao bound.