no code implementations • 16 Aug 2023 • Samudra Dasgupta, Arshag Danageozian, Travis S. Humble
Current quantum computers suffer from non-stationary noise channels with high error rates, which undermines their reliability and reproducibility.
no code implementations • 9 Jun 2021 • Rajdeep Kumar Nath, Himanshu Thapliyal, Travis S. Humble
As a case study, we will investigate the effectiveness of QA-based feature selection techniques in selecting the optimal feature subset for stress detection.
no code implementations • 5 Jun 2021 • Rajdeep Kumar Nath, Himanshu Thapliyal, Travis S. Humble
Optimizing the training of a machine learning pipeline helps in reducing training costs and improving model performance.
no code implementations • 11 Feb 2021 • Rebekah Herrman, Lorna Treffert, James Ostrowski, Phillip C. Lotshaw, Travis S. Humble, George Siopsis
The quantum approximate optimization algorithm (QAOA) is a promising method of solving combinatorial optimization problems using quantum computing.
Combinatorial Optimization Quantum Physics
no code implementations • 20 Jan 2021 • Thien Nguyen, Lindsay Bassman, Dmitry Lyakh, Alexander McCaskey, Vicente Leyton-Ortega, Raphael Pooser, Wael Elwasif, Travis S. Humble, Wibe A. de Jong
Subsequently, it allows a synthesis of new hybrid algorithms and workflows via the extension, specialization, and dynamic customization of the abstract core classes defined by our design.
Quantum Physics
no code implementations • 24 Dec 2020 • Ronald J. Sadlier, Travis S. Humble
Routing plays an important role in programming noisy, intermediate-scale quantum (NISQ) devices, where limited connectivity in the register is overcome by swapping quantum information between locations.
Quantum Physics
no code implementations • 24 Nov 2020 • Vivek Dixit, Raja Selvarajan, Tamer Aldwairi, Yaroslav Koshka, Mark A. Novotny, Travis S. Humble, Muhammad A. Alam, Sabre Kais
In the second scheme, a RBM is used to generate synthetic data to balance the training dataset.
no code implementations • 7 May 2020 • Vivek Dixit, Raja Selvarajan, Muhammad A. Alam, Travis S. Humble, Sabre Kais
Training and classification results are compared with CD.
1 code implementation • 1 May 2019 • Benjamin Villalonga, Dmitry Lyakh, Sergio Boixo, Hartmut Neven, Travis S. Humble, Rupak Biswas, Eleanor G. Rieffel, Alan Ho, Salvatore Mandrà
Noisy Intermediate-Scale Quantum (NISQ) computers aim to perform computational tasks beyond the capabilities of the most powerful classical computers, thereby achieving "Quantum Supremacy", a major milestone in quantum computing.
Quantum Physics Computational Complexity Computational Physics
2 code implementations • 20 Nov 2017 • Kathleen E. Hamilton, Neena Imam, Travis S. Humble
Using a fully connected spiking neuron system, with both inhibitory and excitatory synaptic connections, the firing patterns of neurons within the same community can be distinguished from firing patterns of neurons in different communities.
1 code implementation • 4 Oct 2017 • Alexander J. McCaskey, Eugene F. Dumitrescu, Dmitry Liakh, Mengsu Chen, Wu-chun Feng, Travis S. Humble
A novel approach to scale these applications with future heterogeneous HPC is to enhance conventional computing systems with quantum processor accelerators.
Quantum Physics