activity
20222024
most citedClifford-based Circuit Cutting for Quantum Simulation

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2024

Average circuit eigenvalue sampling on NISQ devices

Emilio Pelaez, Victory Omole, Pranav Gokhale +4

Average circuit eigenvalue sampling (ACES) was introduced by Flammia in arXiv:2108.05803 as a protocol to characterize the Pauli error channels of individual gates across the devic…

quant-ph2023

Superstaq: Deep Optimization of Quantum Programs

Colin Campbell, Frederic T. Chong, Denny Dahl +21

We describe Superstaq, a quantum software platform that optimizes the execution of quantum programs by tailoring to underlying hardware primitives. For benchmarks such as the Berns…

quant-ph2023

Training Quantum Boltzmann Machines with Coresets

Joshua Viszlai, Teague Tomesh, Pranav Gokhale +2

Recent work has proposed and explored using coreset techniques for quantum algorithms that operate on classical data sets to accelerate the applicability of these algorithms on nea…

quant-ph20234 cited

Clifford-based Circuit Cutting for Quantum Simulation

Kaitlin N. Smith, Michael A. Perlin, Pranav Gokhale +5

Quantum computing has potential to provide exponential speedups over classical computing for many important applications. However, today's quantum computers are in their early stag…

quant-ph20221 cited

Quantum Computing in the Cloud: Analyzing job and machine characteristics

Gokul Subramanian Ravi, Kaitlin N. Smith, Pranav Gokhale +1

As the popularity of quantum computing continues to grow, quantum machine access over the cloud is critical to both academic and industry researchers across the globe. And as cloud…