activity
20062022
most citedQuantum Computer Systems for Scientific Discovery

247 citations · 1.6k across the 40 of their papers we have counts for

collaborators

45 papers

quant-ph2022★ 8 cited

Practical implications of SFQ-based two-qubit gates

Mohammad Reza Jokar, Richard Rines, Frederic T. Chong

Scalability of today's superconducting quantum computers is limited due to the huge costs of generating/routing microwave control pulses per qubit from room temperature. One active…

quant-ph2022

DigiQ: A Scalable Digital Controller for Quantum Computers Using SFQ Logic

Mohammad Reza Jokar, Richard Rines, Ghasem Pasandi +5

The control of cryogenic qubits in today's superconducting quantum computer prototypes presents significant scalability challenges due to the massive costs of generating/routing th…

quant-ph2021

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…

quant-ph2021

Exploiting Long-Distance Interactions and Tolerating Atom Loss in Neutral Atom Quantum Architectures

Jonathan M. Baker, Andrew Litteken, Casey Duckering +3

Quantum technologies currently struggle to scale beyond moderate scale prototypes and are unable to execute even reasonably sized programs due to prohibitive gate error rates or co…

quant-ph2021

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…

quant-ph2021

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…