SLFS is the first distributed file system built entirely on serverless functions for data and metadata, achieving 580x cold-start mitigation and up to 68% lower cost than EFS, Ceph, and λFS.
In: ACM inter- national conference on architectural support for programming languages and oper- ating systems
6 Pith papers cite this work, alongside 17 external citations. Polarity classification is still indexing.
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Circuit-cutting metadata leaks algorithm family and Hamiltonian k-locality with near-perfect accuracy via topological transpilation penalties on production QPUs.
Qurator jointly optimizes queue time and fidelity for hybrid quantum-classical workflows across providers using quantum-aware DAG scheduling and a unified logarithmic fidelity score, achieving 30-75% wait reduction at high load with bounded accuracy cost.
Adaptive min-vertex-cut qubit freezing plus bias folding makes DC-QAOA partition every graph (to n=10k) while matching quality on separable instances and beating QAOA2 at equal coverage.
Quokka# is a Python library that converts quantum circuit analysis tasks into #SAT problems, offering multiple encodings, approximate equivalence checking, and depth-optimal synthesis.
QBalance supplies a reproducible multi-objective workflow library for selecting among quantum compilation, noise-suppression, and error-mitigation strategies on Qiskit while documenting its own limitations.
citing papers explorer
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SLFS: a Flexible, Low-Cost Distributed File System Using Serverless Designs
SLFS is the first distributed file system built entirely on serverless functions for data and metadata, achieving 580x cold-start mitigation and up to 68% lower cost than EFS, Ceph, and λFS.
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Post-Cut Metadata Inference Attacks on Quantum Circuit Cutting Pipelines
Circuit-cutting metadata leaks algorithm family and Hamiltonian k-locality with near-perfect accuracy via topological transpilation penalties on production QPUs.
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Qurator: Scheduling Hybrid Quantum-Classical Workflows Across Heterogeneous Cloud Providers
Qurator jointly optimizes queue time and fidelity for hybrid quantum-classical workflows across providers using quantum-aware DAG scheduling and a unified logarithmic fidelity score, achieving 30-75% wait reduction at high load with bounded accuracy cost.
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Adaptive Qubit Freezing Enables Robust Graph Partitioning for Divide-and-Conquer QAOA
Adaptive min-vertex-cut qubit freezing plus bias folding makes DC-QAOA partition every graph (to n=10k) while matching quality on separable instances and beating QAOA2 at equal coverage.
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Quokka#: Quantum Computing with #SAT
Quokka# is a Python library that converts quantum circuit analysis tasks into #SAT problems, offering multiple encodings, approximate equivalence checking, and depth-optimal synthesis.
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QBalance: A Reproducible Multi-Objective Workflow for Quantum Compilation, Noise Suppression, and Error-Mitigation Strategy Selection
QBalance supplies a reproducible multi-objective workflow library for selecting among quantum compilation, noise-suppression, and error-mitigation strategies on Qiskit while documenting its own limitations.