Brian Coyle
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View article: Training-efficient density quantum machine learning
Training-efficient density quantum machine learning Open
17 pages main text, 9 pages appendices. 9 figures
View article: QuIC: Quantum-Inspired Compound Adapters for Parameter Efficient Fine-Tuning
QuIC: Quantum-Inspired Compound Adapters for Parameter Efficient Fine-Tuning Open
Scaling full finetuning of large foundation models strains GPU memory and training time. Parameter Efficient Fine-Tuning (PEFT) methods address this issue via adapter modules which update only a small subset of model parameters. In this wo…
View article: Training-efficient density quantum machine learning
Training-efficient density quantum machine learning Open
Quantum machine learning (QML) requires powerful, flexible and efficiently trainable models to be successful in solving challenging problems. We introduce density quantum neural networks, a model family that prepares mixtures of trainable …
View article: Graph neural network initialisation of quantum approximate optimisation
Graph neural network initialisation of quantum approximate optimisation Open
Approximate combinatorial optimisation has emerged as one of the most promising application areas for quantum computers, particularly those in the near term. In this work, we focus on the quantum approximate optimisation algorithm (QAOA) f…
View article: Machine learning applications for noisy intermediate-scale quantum computers
Machine learning applications for noisy intermediate-scale quantum computers Open
Quantum machine learning has proven to be a fruitful area in which to search for potential applications of quantum computers. This is particularly true for those available in the near term, so called noisy intermediate-scale quantum (NISQ)…
View article: A continuous variable Born machine
A continuous variable Born machine Open
Generative modelling has become a promising use case for near-term quantum computers. Due to the fundamentally probabilistic nature of quantum mechanics, quantum computers naturally model and learn probability distributions, perhaps more e…
View article: Probably approximately correct quantum source coding
Probably approximately correct quantum source coding Open
Information-theoretic lower bounds are often encountered in several branches of computer science, including learning theory and cryptography. In the quantum setting, Holevo's and Nayak's bounds give an estimate of the amount of classical i…
View article: Graph neural network initialisation of quantum approximate optimisation
Graph neural network initialisation of quantum approximate optimisation Open
Approximate combinatorial optimisation has emerged as one of the most promising application areas for quantum computers, particularly those in the near term. In this work, we focus on the quantum approximate optimisation algorithm (QAOA) f…
View article: Variational Inference with a Quantum Computer
Variational Inference with a Quantum Computer Open
Inference is the task of drawing conclusions about unobserved variables given observations of related variables. Applications range from identifying diseases from symptoms to classifying economic regimes from price movements. Unfortunately…
View article: The Interconnected Health Initiative: A Smithsonian Framework to Extend One Health Research and Education
The Interconnected Health Initiative: A Smithsonian Framework to Extend One Health Research and Education Open
To better tackle diseases and sustain healthy ecosystems, One Health programs must efficiently bridge health in humans, domestic/livestock species, wild animals and plants, agriculture/aquaculture, and the environment. The Smithsonian Inst…
View article: Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis
Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis Open
Cryptanalysis on standard quantum cryptographic systems generally involves finding optimal adversarial attack strategies on the underlying protocols. The core principle of modelling quantum attacks in many cases reduces to the adversary's …
View article: Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis
Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis Open
Cryptanalysis on standard quantum cryptographic systems generally involves finding optimal adversarial attack strategies on the underlying protocols. The core principle of modelling quantum attacks in many cases reduces to the adversary's …
View article: Quantum versus classical generative modelling in finance
Quantum versus classical generative modelling in finance Open
Finding a concrete use case for quantum computers in the near term is still an open question, with machine learning typically touted as one of the first fields which will be impacted by quantum technologies. In this work, we investigate an…
View article: A Continuous Variable Born Machine
A Continuous Variable Born Machine Open
Generative Modelling has become a promising use case for near term quantum computers. In particular, due to the fundamentally probabilistic nature of quantum mechanics, quantum computers naturally model and learn probability distributions,…
View article: Robust data encodings for quantum classifiers
Robust data encodings for quantum classifiers Open
Data representation is crucial for the success of machine learning models. In\nthe context of quantum machine learning with near-term quantum computers,\nequally important considerations of how to efficiently input (encode) data and\neffec…
View article: The Born supremacy: quantum advantage and training of an Ising Born machine
The Born supremacy: quantum advantage and training of an Ising Born machine Open
The search for an application of near-term quantum devices is widespread. Quantum machine learning is touted as a potential utilisation of such devices, particularly those out of reach of the simulation capabilities of classical computers.…
View article: BrianCoyle/IsingBornMachine: Ising Born Machine
BrianCoyle/IsingBornMachine: Ising Born Machine Open
Implementation of Quantum Ising Born Machine
View article: Assessing Workplace Health and Safety Strategies, Trends, and Barriers through a Statewide Worksite Survey
Assessing Workplace Health and Safety Strategies, Trends, and Barriers through a Statewide Worksite Survey Open
Chronic diseases have added to the economic burden of the U.S. healthcare system. Most Americans spend most of their waking time at work, thereby, presenting employers with an opportunity to protect and promote health. The purpose of this …
View article: A Qualitative Exploration of a Worksite Wellness Mini-Grant Program
A Qualitative Exploration of a Worksite Wellness Mini-Grant Program Open
Mini-grant programs are an increasingly popular method for outside organizations (eg, non-profits, state agencies) to support wellness initiatives. However, little is known about mini-grant programs in worksites. The present study explored…
View article: One-Sided Device-Independent Certification of Unbounded Random Numbers
One-Sided Device-Independent Certification of Unbounded Random Numbers Open
The 9th International Workshop on Physics and Computation (PC 2018) was held\nas a satellite workshop of the 17th International Conference on Unconventional\nComputation and Natural Computation (UCNC 2018) in Fontainebleau, France, which\n…
View article: Improving the Physical Activity and Outdoor Play Environment of Family Child Care Homes in Nebraska Through Go Nutrition and Physical Activity Self-Assessment for Child Care
Improving the Physical Activity and Outdoor Play Environment of Family Child Care Homes in Nebraska Through Go Nutrition and Physical Activity Self-Assessment for Child Care Open
Background : The purpose of this study was to determine if the Go Nutrition and Physical Activity Self-Assessment in Child Care (Go NAP SACC) intervention was effective in improving best practices in the areas of infant and child physical …
View article: Sustaining partnership working in practice learning: An exploration of the perspectives of practice teachers and students
Sustaining partnership working in practice learning: An exploration of the perspectives of practice teachers and students Open
This paper reports the findings of a small-scale study undertaken by one university – Glasgow Caledonian University- to test the state of ‘partnership working’ between the university and placement providers. The study was conducted in two …