122 citations · 797 across the 38 of their papers we have counts for
5 papers · 1 filter
VAQEM: A Variational Approach to Quantum Error Mitigation
Gokul Subramanian Ravi, Kaitlin N. Smith, Pranav Gokhale +4
Variational Quantum Algorithms (VQAs) are relatively robust to noise, but errors are still a significant detriment to VQAs on near-term quantum machines. It is imperative to employ…
Optimized fermionic SWAP networks with equivalent circuit averaging for QAOA
Akel Hashim, Rich Rines, Victory Omole +6
The fermionic SWAP network is a qubit routing sequence that can be used to efficiently execute the Quantum Approximate Optimization Algorithm (QAOA). Even with a minimally-connecte…
Adapting Quantum Approximation Optimization Algorithm (QAOA) for Unit Commitment
Samantha Koretsky, Pranav Gokhale, Jonathan M. Baker +8
In the present Noisy Intermediate-Scale Quantum (NISQ), hybrid algorithms that leverage classical resources to reduce quantum costs are particularly appealing. We formulate and app…
Faster and More Reliable Quantum SWAPs via Native Gates
Pranav Gokhale, Teague Tomesh, Martin Suchara +1
Due to the sparse connectivity of superconducting quantum computers, qubit communication via SWAP gates accounts for the vast majority of overhead in quantum programs. We introduce…
Divide and Conquer for Combinatorial Optimization and Distributed Quantum Computation
Teague Tomesh, Zain H. Saleem, Michael A. Perlin +3
Scaling the size of monolithic quantum computer systems is a difficult task. As the number of qubits within a device increases, a number of factors contribute to decreases in yield…