122 citations · 797 across the 38 of their papers we have counts for
6 papers · 1 filter
Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions
Yuri Alexeev, Maximilian Amsler, Paul Baity +124
Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…
Building Trust in the Quantum Cloud with Physical Unclonable Functions
Behnam Tonekaboni, Pranav Gokhale, Kaitlin N. Smith
As cloud-based quantum computing expands, securing access to quantum hardware is increasingly critical. We present an authentication protocol that leverages intrinsic quantum devic…
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…
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…
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…
QContext: Context-Aware Decomposition for Quantum Gates
Ji Liu, Max Bowman, Pranav Gokhale +4
In this paper we propose QContext, a new compiler structure that incorporates context-aware and topology-aware decompositions. Because of circuit equivalence rules and resynthesis,…