17 citations · 82 across the 18 of their papers we have counts for
9 papers · 1 filter
Fast Fingerprinting of Cloud-based NISQ Quantum Computers
Kaitlin N. Smith, Joshua Viszlai, Lennart Maximilian Seifert +3
Cloud-based quantum computers have become a reality with a number of companies allowing for cloud-based access to their machines with tens to more than 100 qubits. With easy access…
Scaling Superconducting Quantum Computers with Chiplet Architectures
Kaitlin N. Smith, Gokul Subramanian Ravi, Jonathan M. Baker +1
Fixed-frequency transmon quantum computers (QCs) have advanced in coherence times, addressability, and gate fidelities. Unfortunately, these devices are restricted by the number of…
Boosting Quantum Fidelity with an Ordered Diverse Ensemble of Clifford Canary Circuits
Gokul Subramanian Ravi, Jonathan M. Baker, Kaitlin N. Smith +3
On today's noisy imperfect quantum devices, execution fidelity tends to collapse dramatically for most applications beyond a handful of qubits. It is therefore imperative to employ…
Navigating the dynamic noise landscape of variational quantum algorithms with QISMET
Gokul Subramanian Ravi, Kaitlin N. Smith, Jonathan M. Baker +5
Transient errors from the dynamic NISQ noise landscape are challenging to comprehend and are especially detrimental to classes of applications that are iterative and/or long-runnin…
Quantum Vulnerability Analysis to Accurate Estimate the Quantum Algorithm Success Rate
Fang Qi, Kaitlin N. Smith, Travis LeCompte +4
While quantum computers provide exciting opportunities for information processing, they currently suffer from noise during computation that is not fully understood. Incomplete nois…
Summary: Chicago Quantum Exchange (CQE) Pulse-level Quantum Control Workshop
Kaitlin N. Smith, Gokul Subramanian Ravi, Thomas Alexander +14
Quantum information processing holds great promise for pushing beyond the current frontiers in computing. Specifically, quantum computation promises to accelerate the solving of ce…
CAFQA: A classical simulation bootstrap for variational quantum algorithms
Gokul Subramanian Ravi, Pranav Gokhale, Yi Ding +7
This work tackles the problem of finding a good ansatz initialization for Variational Quantum Algorithms (VQAs), by proposing CAFQA, a Clifford Ansatz For Quantum Accuracy. The CAF…
SupermarQ: A Scalable Quantum Benchmark Suite
Teague Tomesh, Pranav Gokhale, Victory Omole +7
The emergence of quantum computers as a new computational paradigm has been accompanied by speculation concerning the scope and timeline of their anticipated revolutionary changes.…
Modeling Short-Range Microwave Networks to Scale Superconducting Quantum Computation
Nicholas LaRacuente, Kaitlin N. Smith, Poolad Imany +2
A core challenge for superconducting quantum computers is to scale up the number of qubits in each processor without increasing noise or cross-talk. Distributed quantum computing a…