Zobrazeno 1 - 10
of 1 548
pro vyhledávání: '"Coles, P J"'
Autor:
Bartosik, Patryk-Lipka, Donatella, Kaelan, Aifer, Maxwell, Melanson, Denis, Perarnau-Llobet, Marti, Brunner, Nicolas, Coles, Patrick J.
Thermodynamic computing has emerged as a promising paradigm for accelerating computation by harnessing the thermalization properties of physical systems. This work introduces a novel approach to solving quadratic programming problems using thermodyna
Externí odkaz:
http://arxiv.org/abs/2411.14224
The Quantum Approximate Optimization Algorithm (QAOA) has been proposed as a method to obtain approximate solutions for combinatorial optimization tasks. In this work, we study the underlying algebraic properties of three QAOA ans\"atze for the maxim
Externí odkaz:
http://arxiv.org/abs/2410.05187
Autor:
Aifer, Maxwell, Duffield, Samuel, Donatella, Kaelan, Melanson, Denis, Klett, Phoebe, Belateche, Zach, Crooks, Gavin, Martinez, Antonio J., Coles, Patrick J.
A fully Bayesian treatment of complicated predictive models (such as deep neural networks) would enable rigorous uncertainty quantification and the automation of higher-level tasks including model selection. However, the intractability of sampling Ba
Externí odkaz:
http://arxiv.org/abs/2410.01793
Autor:
Donatella, Kaelan, Duffield, Samuel, Aifer, Maxwell, Melanson, Denis, Crooks, Gavin, Coles, Patrick J.
Second-order training methods have better convergence properties than gradient descent but are rarely used in practice for large-scale training due to their computational overhead. This can be viewed as a hardware limitation (imposed by digital compu
Externí odkaz:
http://arxiv.org/abs/2405.13817
Autor:
Larocca, Martin, Thanasilp, Supanut, Wang, Samson, Sharma, Kunal, Biamonte, Jacob, Coles, Patrick J., Cincio, Lukasz, McClean, Jarrod R., Holmes, Zoë, Cerezo, M.
Variational quantum computing offers a flexible computational paradigm with applications in diverse areas. However, a key obstacle to realizing their potential is the Barren Plateau (BP) phenomenon. When a model exhibits a BP, its parameter optimizat
Externí odkaz:
http://arxiv.org/abs/2405.00781
Autor:
Aifer, Maxwell, Melanson, Denis, Donatella, Kaelan, Crooks, Gavin, Ahle, Thomas, Coles, Patrick J.
While physics-based computing can offer speed and energy efficiency compared to digital computing, it also is subject to errors that must be mitigated. For example, many error mitigation methods have been proposed for quantum computing. However this
Externí odkaz:
http://arxiv.org/abs/2401.16231
Autor:
Melanson, Denis, Khater, Mohammad Abu, Aifer, Maxwell, Donatella, Kaelan, Gordon, Max Hunter, Ahle, Thomas, Crooks, Gavin, Martinez, Antonio J., Sbahi, Faris, Coles, Patrick J.
Recent breakthroughs in artificial intelligence (AI) algorithms have highlighted the need for novel computing hardware in order to truly unlock the potential for AI. Physics-based hardware, such as thermodynamic computing, has the potential to provid
Externí odkaz:
http://arxiv.org/abs/2312.04836
Thermodynamic computing exploits fluctuations and dissipation in physical systems to efficiently solve various mathematical problems. For example, it was recently shown that certain linear algebra problems can be solved thermodynamically, leading to
Externí odkaz:
http://arxiv.org/abs/2311.12759
Autor:
Aifer, Maxwell, Donatella, Kaelan, Gordon, Max Hunter, Duffield, Samuel, Ahle, Thomas, Simpson, Daniel, Crooks, Gavin E., Coles, Patrick J.
Linear algebraic primitives are at the core of many modern algorithms in engineering, science, and machine learning. Hence, accelerating these primitives with novel computing hardware would have tremendous economic impact. Quantum computing has been
Externí odkaz:
http://arxiv.org/abs/2308.05660
Autor:
Jerbi, Sofiene, Gibbs, Joe, Rudolph, Manuel S., Caro, Matthias C., Coles, Patrick J., Huang, Hsin-Yuan, Holmes, Zoë
Quantum process learning is emerging as an important tool to study quantum systems. While studied extensively in coherent frameworks, where the target and model system can share quantum information, less attention has been paid to whether the dynamic
Externí odkaz:
http://arxiv.org/abs/2303.12834