17 citations · 82 across the 18 of their papers we have counts for
19 papers
Computer Science Challenges in Quantum Computing: Early Fault-Tolerance and Beyond
Jens Palsberg, Jason Cong, Yufei Ding +7
Quantum computing is entering a period in which progress will be shaped as much by advances in computer science as by improvements in hardware. The central thesis of this report is…
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…
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…
VarSaw: Application-tailored Measurement Error Mitigation for Variational Quantum Algorithms
Siddharth Dangwal, Gokul Subramanian Ravi, Poulami Das +3
For potential quantum advantage, Variational Quantum Algorithms (VQAs) need high accuracy beyond the capability of today's NISQ devices, and thus will benefit from error mitigation…
Codesign of quantum error-correcting codes and modular chiplets in the presence of defects
Sophia Fuhui Lin, Joshua Viszlai, Kaitlin N. Smith +4
Fabrication errors pose a significant challenge in scaling up solid-state quantum devices to the sizes required for fault-tolerant (FT) quantum applications. To mitigate the resour…
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…
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…
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…
Error Mitigation in Quantum Computers through Instruction Scheduling
Kaitlin N. Smith, Gokul Subramanian Ravi, Prakash Murali +4
Quantum systems have potential to demonstrate significant computational advantage, but current quantum devices suffer from the rapid accumulation of error that prevents the storage…
Entanglement in Higher-Radix Quantum Systems
Kaitlin Smith, Mitchell Thornton
Entanglement is an important phenomenon that enables quantum information processing algorithms and quantum communications protocols. Although entangled quantum states are often des…