no code implementations • 9 Jun 2023 • Mathias Weiden, Ed Younis, Justin Kalloor, John Kubiatowicz, Costin Iancu
In the Noisy Intermediate Scale Quantum (NISQ) era, finding implementations of quantum algorithms that minimize the number of expensive and error prone multi-qubit gates is vital to ensure computations produce meaningful outputs.
no code implementations • 29 May 2023 • Arash Ardakani, Altan Haan, Shangyin Tan, Doru Thom Popovici, Alvin Cheung, Costin Iancu, Koushik Sen
This allows SlimFit to freeze up to 95% of layers and reduce the overall on-device GPU memory usage of transformer-based models such as ViT and BERT by an average of 2. 2x, across different NLP and CV benchmarks/datasets such as GLUE, SQuAD 2. 0, CIFAR-10, CIFAR-100 and ImageNet with an average degradation of 0. 2% in accuracy.
1 code implementation • 12 Mar 2021 • Lindsay Bassman, Roel Van Beeumen, Ed Younis, Ethan Smith, Costin Iancu, Wibe A. de Jong
Current algorithms for Hamiltonian simulation, however, produce circuits that grow in depth with increasing simulation time, limiting feasible simulations to short-time dynamics.
Quantum Physics
no code implementations • 17 Dec 2020 • Xin-Chuan Wu, Marc Grau Davis, Frederic T. Chong, Costin Iancu
Quantum circuit synthesis is a process of decomposing an arbitrary unitary into a sequence of quantum gates, and can be used as an optimization tool to produce shorter circuits to improve overall circuit fidelity.
Quantum Physics
3 code implementations • 9 Mar 2020 • Ed Younis, Koushik Sen, Katherine Yelick, Costin Iancu
We present QFAST, a quantum synthesis tool designed to produce short circuits and to scale well in practice.
Quantum Physics